{"id":28,"date":"2020-07-01T12:57:33","date_gmt":"2020-07-01T03:57:33","guid":{"rendered":"http:\/\/cmar.riken.jp\/bas_wp\/?page_id=28"},"modified":"2026-03-24T13:39:35","modified_gmt":"2026-03-24T04:39:35","slug":"publications","status":"publish","type":"page","link":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/publications\/","title":{"rendered":"\u5b9f\u7e3e"},"content":{"rendered":"\n

\"\" \u7814\u7a76\u5b9f\u7e3e<\/strong><\/h1>\n\n\n\n
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2026<\/strong><\/h2>\n
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    \n
  1. Ni, X., Amamoto, Y. and Kikuchi, J.* “Time-series Profiling of Structure\u2013Property Relationships in Biodegradable Polymers via NMR-Driven Data Science” npj Materials Degradation<\/em> (in press).<\/li>\n
  2. Ni, X., Amamoto, Y. and Kikuchi, J.* “Simultaneous multimodal and multitask strategies for diverse biodegradable polymers powered by NMR data science” Sustainable Materials and Technologies<\/em> 47<\/strong>, e01781 (2026).<\/li>\n
  3. Shima, H., Matsunaga, I. and Kikuchi, J.* “Integrating Laboratory and Field Data to Evaluate the Effects of Experimental Microplastic Exposure on Acanthogoblus flavimaus<\/em>” Science of the Total Environment<\/em> 1010<\/strong>, 180972 (2026)<\/li>\n
  4. Inabu, Y., Miyamoto, H., Takahashi, H., Kato, T., Moriya, S., Kurotani, A., Nakaguma, T., Tsuji, N., Ishii, C., Matsuura, M., Wada, S., Sato, T., Udagawa, M., Miyamoto, H., Kikuchi, J., Kodama, H. and Ohno, H. “Gut environment modulation by thermophile Bacillaceae<\/em>-fermented compost to reduce heat stress mortality in laying hens” Animal Microbiome <\/em>(in press).<\/li>\n
  5. Iseri, N., Hao, A.*, Wang, Y., Park, H.-D., Chen, J., Kikuchi, J., Zhao, M. and Kobayashi, S.* “Pulverization of cyanobacteria by impinging jet to increase edibility to zooplankton and facilitate trophic transfer in a eutrophic lake”\u00a0 Environ. Sci. Poll. Res.<\/em> (in press).<\/li>\n
  6. Shima, H. and Kikuchi, J.* “RefLaTEA: A Robust Visualization and Analysis Framework Leveraging Background Data for Enhanced Insight” MethodsX<\/em> (in press).<\/li>\n
  7. Miyamoto, H.*, Takahashi, H.*, Suda, W., Inabu, Y., Kodama H., Nakanishi, Y., Moriya, S., Sato, T., Kato, T., Shindo, C., Tsuji, N., Matsuura, M., Ishii, C., Nakaguma, T., Etoh, T., Shiotsuka, Y., Udagawa, M., Kurotani, A., Suzuki, K., Masuya, H., Wada, S., Fukuda, S., Miyamoto, H., Kikuchi, J., Hattori, M., Nishiuchi, T., Yamamoto, N. and Ohno, H.* “Gut-protective metabolic phenotype for diarrhoea remission caused by an environmental probiotic thermophile” Microbiome <\/em>(revised).<\/li>\n
  8. Morimoto, T., Hamamoto, Y., Shono, T., Ueda, M., Kuwata, A., Taniuchi, Y., Kuroda, H., Tadokoro, K., Tsujimura, Y., Miyaoka, T., Mogi, T., Nakai, R., Nagai, S., Matsumoto, T., Kikuchi, J. and Honda, D. “Ecological impact of algal-preying protists Aplanochytrium<\/em> (Labyrinthulea) as a source of docosahexaenoic acid for copepods in marine environments” ISME Communications<\/em> (revised).<\/li>\n
  9. Terayama, K., Soma, S., Furuita, H., Shimizu, T., Iwasaki, T., Sakata, K., Akagi, K., Asakura, T., Sanda, T., Yamaguchi, T., Fujikura, Y., Hongo, Y., Shima, H., Yokota, H., Kikuchi, J., Yasuike, M. and Mekuchi, M. “Data-Driven Feed Optimization for Sustainable Aquaculture through Integrated Omics Analysis and Two-stage Bayesian Optimization” npj Ocean Sustainability<\/em> (revised).<\/li>\n
  10. Miyamoto, H.*, Wada, S., Kurotani, A., Sato, T., Nishiuchi, T., Shindo, C., Tsuji, N., Ishii, C., Matsuura, M., Nakaguma, T., Shibata, M., Wada, S., Udagawa, M., Mori, K., Kikuchi, J., Kodama, H., Miyamoto, H., Hattori, M., Ohno, H.* and Yamamoto, N.* “A compost-type feed additive for dual modulation of gut commensal bacterial structure and viral infectivity in the livestock animal” Sci. Total Environ<\/em> (submitted)<\/li>\n
  11. Miyamoto, H.*, Suzuki, K., Moriya, S., Matsuura, M., Tsuji, N., Nakaguma, T., Ishii, C., Sato, T., Suda, W., Kato, T., Shindo, C., Kurotani, A., Kodama, H., Masuya, H., Wada, S., Kawashi, N., Miyamoto, H., Tsuruda, Y., Shimasaki, Y., Ogizo, S., Suziki, N., Yuge, T., Takahashi, T., Ojima, T., Furota, T., Sakamoto, A., Takimoto, K., Kuginuma, K., Tanaka, T., Kimura, T., Oshima, Y., Kikuchi, J.* and Ohno, H.* “Cross-regional seagrass holobiont networks along a seawater warming gradient” (TBA).<\/li>\n
  12. Okada, M., Zhu, W., Amamoto, Y. and Kikuchi, J.* “Language-Driven Exploration of Soft Polymer Interphases Using NMR-Derived Dynamics”\u00a0 (TBA).<\/li>\n
  13. Miyamoto, H.*, Suda, W.*, Kodama, H., Takahashi, H., Nakanishi, Y., Moriya, S., Adachi, K., Kiriyama, N., Wada, M., Sudo, D., Ito, S., Shibata, M., Wada, S., Murano, T., Taguchi, H., Shindo, C., Tsuboi, A., Tsuji, N., Matsuura, M., Ishii, C., Nakaguma, T., Ito, T., Okada, T., Matsushidata, T., Sato, T., Kato, T., Inabu, T., Tashiro, T., Mori, K., Ido, A., Miura, T., Morita, H., Fukuda, S., Suzuki, K., Nishiuchi, T., Kurotani, A., Shima, H., Wada, S., Masuya, H., Kikuchi, J., Miyamoto, H., Hattori, M., Yamamoto, N. and Ohno, H. ” A computational model of the cross-animal-species protective symbiotic biochemical structure between gut-inhabitant mesophiles and compost-derived thermophiles”\u00a0 (TBA).<\/li>\n<\/ol>\n

    2025<\/strong><\/h2>\n
    \n
      \n
    1. Okada, M., Zhu, W., Amamoto, Y. and Kikuchi, J.* “Data-driven formulation based on integrated symbolic regression of hydrogel swelling and molecular interactions” ACS Materials Letters<\/em> 7<\/strong>, 3922-3927 (2025).<\/li>\n
    2. Fujita, R., Amamoto, Y. and Kikuchi, J.* “Bayesian Optimization of Biodegradable Polymers via Machine Learning Driven Features from Low-Field NMR Data” npj Materials Degradation<\/em> 9<\/strong>, 72 (2025).<\/li>\n
    3. Verhaeg, E. A., Hoshina, H.*, Kikuchi, J., Catalano, L.*, Ruggiero, M. T.* “Solving the Cellulose I Polymorphic Structural Riddle: Disorder in Hydrogen Bond Networks Activates Diagnostic Terahertz Dynamics” Journal of Materials Chemistry\u00a0<\/em>(C) 13<\/strong>, 15328-15337 (2025).<\/li>\n
    4. Soma, S., Asakura, T., Furuita, H., Shimizu, T., Sanda, T., Yamaguchi, T., Fujikura, Y., Sakata, K., Terayama, K., Kikuchi, J. and Yasuike, M. “Dietary Tryptophan\u2019s Effect on Lipid Metabolism in the Leopard Coral Grouper Plectropomus leopardus” Computational and Structural Biotechnology Reports<\/em> 2<\/strong>, 100077 (2025).<\/li>\n
    5. Taguchi, Y., Haruki, Y., Inabu, Y., Miyamoto, H.*, Hayasaki, K., Maeda, N., Kanmera, Y., Yamasaki, S., Ota, N., Mukawa, K., Kurotani, A., Moriya, S., Nakaguma, T., Ishii, C., Matsuura, M., Etoh, T., Shiotsuka, Y., Fujino, R., Udagawa, M., Wada, S., Kikuchi, J., Ohno, H. and Takahashi, H.* “Causal estimation between reproductive performance and the fecal bacteriome in cattle”\u00a0 Animal Microbiome<\/em> 7<\/strong>, 33 (2025).<\/li>\n
    6. Miyauchi, E., Yamazaki, K., Tsuboi, Y., Nakajima, T., Ono, S., Mizuno, K., Takahashi, N., Imamura, K., Morita, H., Miura, N., Okuda, S., Kikuchi, J., Sasaki, N., Ohno, H. and Yamazaki, K.* “Patients with periodontitis exhibit persistent alterations in the gut microbiota and distinct serum metabolome” Journal of Oral Microbiology<\/em> 17<\/strong>, 2499284 (2025).<\/li>\n
    7. Miyamoto, H.*, Ito, S., Suzuki, K., Tamachi, S., Yamada, S., Nagatsuka, T., Satoh, T., Udagawa, M., Miyamoto, H., Ohno, H. and Kikuchi, J.* “A putative research model for sustainable fisheries driven by noninvasive\u00a0 diagnostic imaging” The Innovation Life<\/em> 3<\/strong>, 100155 (2025).<\/li>\n
    8. Yamano, H., Horike, H., Taguchi, Y., Inabu, T., Miyamoto, H., Kurotani, A., Suzuki, N., Moriya, S., Nakaguma, T., Ishii, C., Matsuura, M., Tsuji, N., Shiotsuka, Y., Fujino, R., Wada, S., Kikuchi, J., Ohno, H. and Takahashi, H.* “Maternal administration of octanoate, a medium-chain fatty acid, improves feed efficiency of Japanese Black calves through influencing gut bacteriome structure” Scientific Reports<\/em> 15<\/strong>, 33557 (2025).<\/li>\n
    9. Wei, Y., Xia, W., Qian, Y., Rong, C., Kikuchi, J. and Li, Y.Y.* “Revealing microbial compatibility of partial nitritation\/Anammox biofilm from sidestream to mainstream applications: Origins, dynamics, and interrelationships” Bioresource Technology<\/em> 418<\/strong>, 131963 (2025).<\/li>\n
    10. Kikuchi, J.* \u201cNMR data science\u201d Experimental approaches of NMR spectroscopy \u2013Methodology and application for life science and material science-<\/em>\u00a0 2nd Edition 9, (2025).<\/li>\n
    11. \u83ca\u5730\u6df3\u3000\u201d\u74b0\u5883\u4f4e\u8ca0\u8377\u578b\u30d7\u30e9\u30b9\u30c1\u30c3\u30af\u5275\u6210\u3078\u306eNMR\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9 \u30fc\u5353\u4e0aNMR\u30c0\u30a4\u30ca\u30df\u30af\u30b9\u3068\u5316\u5b66\u69cb\u9020\u3068\u306e\u30a2\u30bd\u30b7\u30a8\u30fc\u30b7\u30e7\u30f3\u89e3\u6790\u30fc\u201d\u3000\u6708\u520a\u30d7\u30e9\u30b9\u30c1\u30c3\u30af\u30b9<\/em>\u300076<\/strong>\u00a0 (12) 46-50 (2025).<\/li>\n
    12. \u83ca\u5730\u6df3\u3000\u201d\u30d6\u30eb\u30fc\u30ab\u30fc\u30dc\u30f3\u306e\u751f\u80b2\u74b0\u5883\u8981\u56e0\u89e3\u6790\u3068\u69cb\u6210\u6210\u5206\u8907\u96d1\u7cfb\u306e\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u201d\u3000\u690d\u7530\u5145\u7f8e\u7de8\u3000\u85fb\u985e\u306b\u3088\u308b\u4e8c\u9178\u5316\u70ad\u7d20\u56de\u53ce\u30fb\u56fa\u5b9a\u5316\u3068\u6709\u7528\u7269\u8cea\u751f\u7523<\/em> 195-203 (2025).<\/li>\n
    13. \u83ca\u5730\u6df3\u3000\u201d\u6750\u6599\u754c\u9762\u306eNMR\u7269\u6027\u89e3\u6790\u3068\u5fae\u751f\u7269\u7fa4\u96c6\u5f62\u6210\u3068\u306e\u95a2\u4fc2\u201d\u3000\u74b0\u5883\u3068\u6e2c\u5b9a\u6280\u8853<\/em>\u3000\u00a052<\/strong> (3) 4-11 (2025).<\/li>\n
    14. \u83ca\u5730\u6df3\u3000\u201dNMR\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306b\u3088\u308b\u751f\u5206\u89e3\u6027\u6750\u6599\u6700\u9069\u5316\u201d\u3000\u30d9\u30a4\u30ba\u6700\u9069\u5316\u306e\u9069\u7528\u3068\u30d1\u30e9\u30e1\u30fc\u30bf\u5236\u5fa1\u3001\u6d3b\u7528\u4e8b\u4f8b<\/em>\u3000440-447 (2025).<\/li>\n<\/ol>\n

      2024<\/strong><\/h2>\n
      \n
        \n
      1. Yokoyama, D., Tsuboi, Y., Nagahata, R., Konno, H., Yoshida, M., Abe, H. and Kikuchi, J.* “Quantification of microbial community assembly processes during degradation on diverse plastispheres based on physicochemical characters and phylogenetic bin-based null model analysis” Sci. Total Environ.<\/em> 931<\/strong>, 172401 (2024).<\/li>\n
      2. Okada, M., Amamoto, Y., Kikuchi, J.* “Designing Sustainable Hydrophilic Interfaces via Feature Selection from Molecular Descriptors and Time-Domain Nuclear Magnetic Resonance Relaxation Curves” Polymers<\/em> 16<\/strong>, 824 (2024).<\/li>\n
      3. Shima, H., Asakura, T., Sakata, K., Koiso, M and Kikuchi, J*. “Feed components and timing to improve feed conversion ratio for sustainable aquaculture using starch” Int. J. Mol. Sci.<\/em> 25<\/strong>, 7921 (2024).<\/li>\n
      4. Takeuchi, M., Fujiwara-Nagata, E., Kuroda, K., Sakata, K., Narihiro, T.* and Kikuchi, J.* “Fecal metagenomic and metabolomic analyses reveal biomarkers of Flavobacterium psychrophilum<\/em> infection in ayu (Plecoglossus altivelis<\/em>)” mSphere<\/em> 9<\/strong>, e00301-24 (2024).<\/li>\n
      5. Ito, K., Miyamoto, H.*, Matsuura, M., Ishii, C., Nakanishi, Y., Suda, W., Satoh, T., Honda, F., Kurotani, A., Tsuji, N., Nakaguma, T., Shindo, C., Ito, T., Michibata, R., Yamada, R., Takahashi, Y., Kodama, H., Kikuchi, J.* and Ohno, H.* “A thermoprotective probiotic function by thermostable lactic acid bacteria and its causal structure” Journal of Functional Foods<\/em> 113<\/strong>, 106001 (2024).<\/li>\n
      6. Kurotani, A., Miyamoto, H. and Kikuchi, J. “Validation of causal inference data using DirectLiNGAM in an environmental small-scale model and calculation setting” MethodsX<\/em> 12<\/strong>, 102508 (2024).<\/li>\n
      7. Taguchi, Y., Kurotani, A., Yamano, J., Miyamoto, H.*, Kato, T., Tsuji, N., Matsuura, M., Etoh, T., Shiotsuka, Y., Fujino, R., Udagawa, M., Kikuchi, J., Ohno, H. and Takahashi, H.* “Causal estimation of maternal-offspring gut commensal bacterial associations under livestock grazing management conditions” Computational and Structural Biotechnology Reports<\/em> 1<\/strong>, 100012 (2024).<\/li>\n
      8. Bei, K., Wang, Y., Yang, D., Shao, Q., Zheng, X., Zhao, M., Chou, I.-M., Kikuchi, J. and Pan, Z. “Volume change of CO2<\/sub> + long-chain liquid n-alkane (with n \u2265 14) mixtures under geological conditions: An observed abrupt change near the critical point of CO<\/span>2<\/sub>” J. Mol. Liquids<\/em> 413<\/strong>, 125827 (2024).<\/li>\n
      9. \u83ca\u5730\u6df3\u3000\u201d\u74b0\u5883\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306b\u3088\u308bDX\u30fbGX”\u3000\u30a2\u30b0\u30ea\u30d0\u30a4\u30aa\u30008<\/strong>, 7-8 (2024).<\/li>\n
      10. \u83ca\u5730\u6df3\u3000\u201d\u30d0\u30a4\u30aa\u30d7\u30ed\u30bb\u30b9\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u3088\u308b\u74b0\u5883\u89aa\u548c\u6027\u6750\u6599\u8a2d\u8a08\u306e\u8a66\u307f\u201d\u3000\u74b0\u5883\u30d0\u30a4\u30aa\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u5b66\u4f1a\u8a8c<\/em>\u300024, 71-74 (2024).<\/li>\n<\/ol>\n
        \n

        2023<\/strong><\/h2>\n
          \n
        1. Yokoyama, D.* and Kikuchi, J. “Inferring microbial community assembly in an urban river basin through geo-multi-omics and phylogenetic bin-based null-model analysis of surface water” Environmental Research<\/em> 231<\/strong>, 116202 (2023).<\/span><\/li>\n
        2. Kudo, H.*., Han, N., Yokoyama, D., Matsumoto, T., Chien, M.-F., Kikuchi, J. and Inoue, C. “Bayesian network highlights the contributing factors for efficient arsenic phytoextraction by Pteris vittata<\/em> in a contaminated field” Sci. Total Environ.<\/em> 899,<\/strong> 165654 (2023).<\/li>\n
        3. Yamada, S., Tsuboi, Y., Yokoyama, D. and Kikuchi, J.* “Polymer composition optimization approach based on feature extraction of bound and free water using time-domain NMR\u201d Journal of Magnetic Resonance<\/em> 351<\/strong>, 107438 (2023).<\/li>\n
        4. Miyamoto, H.*, Kawachi, N., Kurotani, A., Suda, W., Moriya, S., Suzuki, K., Matsuura, M., Tsuji, N., Nakaguma, T., Ishii, T., Tsuboi, A., Shindo, C., Kato, T., Udagawa, M., Wada, S., Masuya, H., Miyamoto, H., Ohno, H. and Kikuchi, J.* “Computational estimation of symbiotic sediment bacterial structures of seagrasses overgrowing downstream of onshore aquaculture” Environmental Research <\/em>219<\/strong>, 115130 (2023).<\/li>\n
        5. Yokoyama, D., Takamura, A., Tsuboi, Y. and Kikuchi, J.* “Large-scale Omics Dataset of Polymer Degradation Provides Robust Interpretation for Microbial Niche and Succession on Different Plastisphere” ISME Communications <\/em>3<\/strong>, 67 (2023).<\/li>\n
        6. Shima, H., Sakata, K. and Kikuchi, J.* “Prediction of influence transmission by water temperature of fish intramuscular metabolites and intestinal microbiota factor cascade using Bayesian networks” Applied Sciences<\/em> 13,<\/strong> 3198 (2023).\u00a0<\/li>\n
        7. Miyamoto, H.*, Shigeta, K., Suda, W., Ichihashi, Y., Nihei, N., Matsuura, M., Tsuboi, A., Tominaga, N., Aono, M., Sato, M., Taguchi, S., Shindo, C., Ito, T., Kato, T., Kurotani, A., Shima, H., Moriya, S., Wada, S., Horiuchi, S., Sato, T., Mori, K., Miyamoto, H., Kodama, H., Hattori, M., Ohno, H., Kikuchi, J.* and Hirai, M.* “An agroecological structure model of compost-soil-plant interactions for sustainable organic farming” ISME Communications <\/em>3<\/strong>, 28 (2023).<\/li>\n
        8. Rungreungthanapol, T., Homma, C., Akagi, K., Tanaka, M., Kikuchi, J., Tomizawa, H., Sugizaki, Y., Isobayashi, A.,\u00a0 Hayamizu, Y. and\u00a0 Okochi, M.* “Volatile organic compound detection by graphene field-effect transistors functionalized with fly olfactory receptor mimetic peptides” Anal. Chem. <\/i>95<\/strong>, 4556-4563 (2023).<\/li>\n
        9. Okada, S., Inabu, Y., Miyamoto, H.*, Suzuki, K., Kato, T., Kurotani, A., Fujino, R., Shiotsuka, Y., Eto, T., Tsuji, N., Matsuura, M., Tsuboi, A., Saito, A., Masuya, H., Kikuchi, J., Ohno, H.* and Takahashi, H.* “Estimation of silent phenotypes of calf antibiotic dysbiosis” Sci. Rep. <\/i>13<\/strong>, 6359 (2023).<\/li>\n
        10. Miyamoto, H. and Kikuchi, J.* “An evaluation of homeostatic plasticity for ecosystems using an analytical data science approach” Computational and Structural Biotechnology Journal<\/em> 21<\/strong>, 869-878 (2023).<\/li>\n
        11. \u83ca\u5730\u6df3\u3000\u201dAI\u306b\u3088\u308bNMR\u30c7\u30fc\u30bf\u4e88\u6e2c\u3068\u30d7\u30ed\u30bb\u30b9\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3078\u306e\u6d3b\u7528\u201d\u3000\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u9032\u3081\u65b9\u3068\u5177\u4f53\u7684\u5fdc\u7528\u6cd5<\/em>\u30009 (4) 641-649 (2023).<\/li>\n
        12. \u83ca\u5730\u6df3\u3001\u5ca1\u7530\u771f\u5e78\u3000\u201d\u6642\u9593\u9818\u57df\u304a\u3088\u3073\u56fa\u4f53NMR\u3068\u30d7\u30ed\u30bb\u30b9\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u201d\u3000\u5b9f\u9a13\u306e\u81ea\u52d5\u5316\u30fb\u81ea\u5f8b\u5316\u306b\u3088\u308bR&D\u306e\u52b9\u7387\u5316\u3068\u904b\u7528\u65b9\u6cd5\u3000\u30fcAI\u3001\u30ed\u30dc\u30c3\u30c8\u6280\u8853\u3001ChatGPT\u3001MI\u3001\u30d9\u30a4\u30ba\u6700\u9069\u5316\u3001\u79d8\u5bc6\u8a08\u7b97\u306a\u3069\u30fc\u3000<\/em>6<\/strong>, 440-446 (2023).<\/li>\n<\/ol>\n

          2022<\/strong><\/h2>\n
            \n
          1. Hara, K., Yamada, S., Kurotani, A., Chikayama, E. and Kikuchi, J.* “Materials informatics approach using domain modelling for exploring structure-property relationships of polymers” Sci. Rep.<\/em> 12<\/strong>, 10558 (2022). DOI<\/a><\/li>\n
          2. Shima, H., Murata, I., Wei, F., Sakata, K. and Kikuchi, J.* “Identification of salmoniformes aquaculture conditions to increase the creatine and anserine levels using multiomics dataset and nonnumerical information” Frontiers in Microbiology<\/em> 13<\/strong>, 991819 (2022).<\/li>\n
          3. Yokoyama, D., Suzuki, S., Asakura, T. and Kikuchi, J.* \u00a0“Chemometric analysis of NMR spectra and machine learning to investigate membrane fouling”\u00a0 ACS Omega <\/em>7<\/strong>, 12654-12660 (2022). DOI<\/a><\/li>\n
          4. Hara, K., Yamada, S., Chikayama, E. and Kikuchi, J.* “Parameter Visualization of Benchtop Nuclear Magnetic Resonance Spectra Toward Food Process Monitoring” Processes<\/em> 10<\/strong>, 1264 (2022). DOI<\/a><\/li>\n
          5. Miyamoto, H.*, Asano, F., Ishizawa, K., Suda, W., Miyamoto, H., Tsuji, N., Matsuura, M., Tsuboi, A., Ishii, C., Nakaguma, T., Shindo, C., Kato, T., Kurotani, A., Shima, H., Moriya, S., Hattori, M., Kodama, H., Ohno, H. and Kikuchi, J.* “A potential network structure of symbiotic bacteria involved in carbon and nitrogen metabolism of wood-utilizing insect larvae” Sci. Total Environ.<\/em> 836<\/strong>, 155520 (2022). DOI<\/a><\/li>\n
          6. Yokoyama, D., Suzuki, S., Asakura, T. and Kikuchi, J.* \u00a0“Microbiome and metabolome analyses in different closed-circulation aquarium systems and their network visualization”\u00a0 ACS Omega <\/em>\u00a07<\/strong>, 30399-30404 (2022).<\/li>\n
          7. Shono, N., Ito, M, Umezawa, A., Sakata, K., Li, A., Kikuchi, J., Ito, K. and Nakamura, R.* “Tracing and Regulating Redox Homeostasis of Model Benthic Ecosystems for Sustainable Aquaculture in Coastal Environments” Frontiers in Microbiology<\/em> 13<\/strong>, 907733 (2022).<\/li>\n
          8. Shima, H., Sato, Y., Sakata, K., Asakura, T., Kikuchi, J.* “Identifying correlation among qualitative non-numeric parameters in natural fish microbe dataset using machine learning” App. Sci. <\/em>12<\/strong>, 5927 (2022). DOI<\/a><\/li>\n
          9. Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M.* \u201cDynamics of a stochastic phytoplankton-toxic phytoplankton-zooplankton system under regime switching\u201d Math. Meth. Appl. Sci.<\/em> 45<\/strong>, 9769-9786 (2022). DOI<\/a><\/li>\n
          10. Matsui, A., Todaka, D., Tanaka, M., Mizunashi, K., Takahashi, S., Sunaoshi, Y., Tsuboi, Y., Ishida, J., Bashir, K., Kikuchi, J., Kusano, M., Kobayashi, M., Kawaura, K. and Seki, M. “Ethanol induces heat tolerance in plants by stimulating endoplasmic reticulum-mediated stress responses” Plant Mol. Biol.<\/em> 110<\/strong>, 131-145 (2022). DOI<\/a><\/li>\n
          11. Avell\u00e1n-Llaguno, R. D., Zhang, X., Zhao, P., Kikuchi, J., Dong, S. and Huang, Q.* “Differential aggregation of polystyrene and titanium dioxide nanoparticles under various salinity conditions and against multiple proteins types” Environ. Sci. Pol. Res.<\/em> 29<\/strong>, 74173-74184 (2022). DOI<\/a><\/li>\n
          12. Ito, K., Miyamoto, H.*, Matsuura, M., Ishii, C., Tsuboi, A., Tsuji, N., Nakaguma, T., Nakanishi, Y., Kato, T., Suda, W., Honda, F., Ito, T., Moriya, S., Shima, H., Michibata, R., Yamada, R., Takahashi, Y., Koga, H., Kodama, H., Watanabe, Y., Kikuchi, J. and Ohno, H. \u201cNoninvasive fecal metabolic profiling for the evaluation of probiotic characteristics of thermostable lactic acid bacteria, Weizmannia coagulans <\/em>SANK70258, for broiler chickens\u201d J. Biosci. Bioeng.<\/em> 134<\/strong>, 105-115 (2022).<\/li>\n
          13. Nakano, Y., Endo, H., Hori, C., Ihara, A., Matsumoto, T., Kikuchi, J., Ohtani, M.* and Demura, M. “Enhancement of secondary cell wall formation in poplar xylem using a self-reinforced system of secondary cell wall-related transcription factors ” Front. Plant Sci.\u00a0<\/em>13<\/strong>, 819360 (2022). DOI<\/a><\/li>\n
          14. Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M.* \u201cDynamics of a stochastic non-autonomous phytoplankton-zooplankton system involving toxin-producing phytoplankton and impulsive perturbations\u201d Mathematics and Computers in Simulation <\/em>203<\/strong>, 368-386 (2022). DOI<\/a><\/li>\n
          15. Sildever, S., Nishi, N., Inaba, N., Asakura, T., Kikuchi, J., Asano, Y., Kobayashi, T., Gojobori, T. and Nagai, S.* “Monitoring harmful microalgal species and their appearance in Tokyo Bay, Japan, using metabarcoding” Metabarcoding and Metagenomics<\/em> 6<\/strong>, 261-280 (2022).<\/li>\n
          16. Umeda-Hara, C., Iwakawa, H., Ohtani, M., Demura, T., Matsumoto, T., Kikuchi, J., Murata, K. and Umeda, M.* “Tetraploidization promotes radial stem growth in poplars” Plant Biotechnol.<\/em> 39<\/strong>, 215-220 (2022).<\/li>\n
          17. Bashir, K., Rasheed, S., Todaka, D., Matsui, A., Ahmad, Z., Sako, K., Utsumi, Y., Anh Thu, V., Tanaka, M., Takahashi, S., Ishida, J., Tsuboi, Y., Watanabe, S., Kanno, Y., Ando, E., Seito, M., Motegi, H., Sato, M., Li, R., Kikuchi, S., Fujita, M., Kusano, M., Habu, Y., Nagano, A., Kawaura, K., Kikuchi, J., Saito, K., Hirai, M., Seo, M., Shinozaki, K., Kinoshita, T., and Seki, M.* “Ethanol-Mediated Novel Survival Strategy against Drought Stress in Plants” Plant Cell Physiol.<\/em> 110<\/strong>, 269-285 (2022).<\/li>\n
          18. Kato, T., Kagawa, W., Suda, W., Tsuboi, Y., Inoue-Suzuki, Y., Kikuchi, J., Hattori, M. Ohta, T. and Ohno, H.* “Integrated multi-omics analysis reveals differential effects of fructo-oligosaccharides (FOS) supplementation on the human gut ecosystem” Int. J. Mol. Sci.<\/em> 23<\/strong>, 11728 (2022).<\/li>\n
          19. \u76f8\u99ac\u667a\u53f2\u3001\u6a2a\u5c71\u4f50\u4e00\u90ce\u3001\u83ca\u5730\u6df3\u3000\u201d\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u3092\u5229\u7528\u3057\u305f\u98fc\u6599\u958b\u767a\u201d\u3000\u990a\u6b96\u30d3\u30b8\u30cd\u30b9<\/em>\u30005<\/em><\/strong>, 12-15 \uff082022).<\/li>\n<\/ol>\n
            \n

            \u00a0<\/h2>\n

            2021<\/strong><\/h2>\n
              \n
            1. Ito, K., Xu, X. and Kikuchi, J.* \u201cImproved Prediction of Carbonless NMR Spectra by the Machine Learning of Theoretical and Fragment Descriptors for Environmental Mixture Analysis\u201d Anal. Chem.<\/em> 93<\/strong>, 6901-6906 (2021). DOI<\/a><\/li>\n
            2. Wei, F., Ito, K., Sakata, K., Asakura, T., Date, Y. and Kikuchi, J.* \u201cFish ecotyping based on machine learning and inferred network analysis of chemical and physical properties\u201d Sci. Rep<\/em>. 11<\/strong>, 3766 (2021). DOI<\/a><\/li>\n
            3. Date, Y., Wei, F., Tsuboi, Y., Ito, K., Sakata, K. and Kikuchi, J.* \u201cRelaxometric learning: a pattern recognition method for T<\/em>2<\/sub> relaxation curves based on machine learning supported by an analytical framework\u201d BMC Chemistry<\/em> 15, <\/b>13 (2021). DOI<\/a><\/li>\n
            4. Yamada, S., Chikayama, E. and Kikuchi, J.* \u201cSignal Deconvolution and Generative Topographic Mapping Regression for Solid-state NMR of Multi-component Materials\u201d Int. J. Mol. Sci.<\/em> 22<\/strong>, 1086 (2021). DOI <\/a><\/li>\n
            5. Yamawaki, R., Tei, A., Ito, K. and Kikuchi, J.* \u201cDecomposition Factor Analysis Based on Virtual Experiments Throughout Bayesian Optimization for Compost-Degradable Polymers\u201d Appl. Sci.<\/em> 11<\/strong>, 2820 (2021). DOI<\/a><\/li>\n
            6. Kurotani, A., Kakiuchi, T. and Kikuchi, J.* \u201cSolubility prediction from molecular properties and analytical data using an in-phase deep neural network (ip-DNN)\u201d ACS Omega<\/em> 6<\/strong>, 14278-14287 (2021). DOI<\/a><\/li>\n
            7. Takamura, A., Tsukamoto, K., Sakata, K. and Kikuchi, J.* “Integrative measurement analysis via machine learning descriptor selection for investigating physical properties of biopolymers in hairs” Sci.Rep. <\/em>11, 24359 \u00a0(2021). DOI<\/a><\/li>\n
            8. Akiyoshi, N., Ihara, A., Matsumoto, T., Takebayashi, A., Hiroyama, R., Kikuchi, J., Demura, T. and Ohtani, M.* \u201cFunctional Analysis of Poplar Sombrero-Type NAC Transcription Factors Yields a Strategy to Modify Woody Cell Wall Properties\u201d Plant Cell Physiol.<\/em> pcab102 (2021).\u00a0DOI<\/a><\/li>\n
            9. Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M.* \u201cDynamics induced by environmental stochasticity in a\u3000phytoplankton-zooplankton system with toxic phytoplankton\u201d Math. Biosci. Eng<\/em>. 18<\/strong>, 4101-4126 (2021).\u00a0DOI<\/a><\/li>\n
            10. Watanabe, T.*, Nagai, S., Kawakami, Y., Asakura, T., Kikuchi, J., Inaba, N., Taniuchi, Y., Kurogi, H., Chow, S., Tomoda, T., Ambe, D. and Hasegawa, D. \u201c18S rRNA gene sequences of leptocephalus gut contents, particulate organic matter, and biological oceanographic conditions in the western North Pacific\u201d Sci. Rep<\/em>. 11, <\/b>5488 (2021). DOI<\/a><\/li>\n
            11. Yamazaki, K., Kato, T., Tsuboi, Y., Miyauchi, E., Suda, W., Sato, K., Nakajima, M., Yokoji-Takeuchi, M., Yamada-Hara, M., Tsuzuno, T., Matsugishi, A., Takahashi, N., Tabeta, K., Miura, N., Okuda, S., Kikuchi, J., Ohno, H. and Yamazaki, K.* ” Oral Pathobiont-Induced Changes in Gut Microbiota Aggravate the Pathology of Nonalcoholic Fatty Liver Disease in Mice” Front. Immunol. <\/em>12, 766170 (2021). DOI<\/a><\/li>\n
            12. Kikuchi, J.* and Yamada, S. \u201cThe exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science\u201d RSC Adv.<\/em> 11<\/strong>, 30426-30447 (2021). DOI<\/a><\/li>\n
            13. \u83ca\u5730\u6df3\u3000\u201cNMR\u306e\u5206\u5b50\u69cb\u9020\u60c5\u5831\u201d\u3000\u5316\u5b66\u4fbf\u89a7\u3000\u57fa\u790e\u7de8\u7b2c\uff16\u7248<\/em>\u300015-3-2 (2021).<\/li>\n
            14. \u83ca\u5730\u6df3\u3000\u201dNMR\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306b\u3088\u308b\u98df\u6750\u8a55\u4fa1\u3000-\u7269\u6027\u30fb\u30d7\u30ed\u30bb\u30b9\u30fb\u6442\u98df\u4ee3\u8b1d\u306e\u7279\u5fb4\u62bd\u51fa-\u201d \u3000\u98df\u54c1\u5206\u91ce\u306b\u304a\u3051\u308b\u30e1\u30bf\u30dc\u30ea\u30c3\u30af\u30fb\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u6d3b\u7528\u6700\u524d\u7dda<\/em> (2021).<\/li>\n
            15. \u83ca\u5730\u6df3\u3000\u201c\u91cf\u5b50\u5316\u5b66\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u304a\u3088\u3073\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u3088\u308bNMR\u8a18\u8ff0\u5b50\u4e88\u6e2c\u201d NMR\u306b\u3088\u308b\u6709\u6a5f\u6750\u6599\u5206\u6790\u3068\u30c7\u30fc\u30bf\u89e3\u91c8\u4e8b\u4f8b\u96c6<\/em>\uff082021\uff09.<\/li>\n
            16. \u5c71\u53e3\u79c0\u5e78\u3001\u95a2\u5c71\u606d\u4ee3\u3001\u83ca\u5730\u6df3\u3000\u201c\u98df\u54c1\u306e\u7814\u7a76\u958b\u767a\u306b\u304a\u3051\u308bNMR\u306e\u6d3b\u7528\u201d NMR\u306b\u3088\u308b\u6709\u6a5f\u6750\u6599\u5206\u6790\u3068\u30c7\u30fc\u30bf\u89e3\u91c8\u4e8b\u4f8b\u96c6<\/em>\uff082021\uff09.<\/li>\n<\/ol>\n

              \u00a0<\/h2>\n

              2020<\/strong><\/h2>\n
              \n
                \n
              1. Ito, K., Tsuboi, Y. and Kikuchi, J.* \u201cSpatial molecular-dynamically ordered NMR spectroscopy of intact bodies and heterogeneous systems\u201d Commun. Chem<\/em>. 3<\/strong>, 1-8 (2020). DOI<\/a><\/li>\n
              2. Ichihashi, Y.*, Date, Y., Shino, A., Shimizu, T., Shibata, A., Kumaishi, K., Funahashi, F., Wakayama, K., Yamazaki, K., Umezawa, A., Sato, T., Kobayashi, M., Kamimura, M., Kusano, M., Che, F.-S., O\u2019Brien, M., Tanoi, K., Hayashi, M., Nakamura, R., Shirasu, K., Kikuchi, J. and Nihei, N.* \u201cMulti-omics analysis on an agroecosystem reveals the significant role of organic nitrogen to increase agricultural crop yield\u201d Proc. Natl. Acad. Sci. USA<\/em> 117<\/strong>, 14552-14560 (2020). DOI<\/a><\/li>\n
              3. Yamada, S., Kurotani, A., Chikayama, E. and Kikuchi, J.* \u201cSignal Deconvolution and Noise Factor Analysis Based on Combination of Time\u2013Frequency Analysis and Probabilistic Sparse Matrix Factorization\u201d Int. J. Mol. Sci.<\/em> 21<\/strong>, 2978 (2020). DOI<\/a><\/li>\n
              4. Wei, F.*, Fukuchi, M., Ito, K., Sakata, K., Asakura, T., Date, Y. and Kikuchi, J.* \u201cLarge-Scale Evaluation of Major Soluble Macromolecular Components of Fish Muscle from Conventional 1<\/sup>H NMR Spectral Database\u201d Molecules<\/em> 25<\/strong>, 1966 (2020). DOI<\/a><\/li>\n
              5. Zhang, J., Terayama, K., Sumita, M., Yoshizoe, K., Ito, K., Kikuchi, J. and Tsuda, K.* \u201cNMR-TS: de novo molecule identification from NMR spectra\u201d Sci. Technol. Adv. Mater. <\/em>21<\/strong>, 552-561 (2020). DOI<\/a><\/li>\n
              6. Hori, C., Yu, X., Mortimer, J. C., Sano, R, Matsumoto, T., Kikuchi, J. and Demura, T. and Ohtani, M.* \u201cImpact of abiotic stress on the regulation of cell wall biosynthesis in Populus trichocarpa<\/em>\u201d Plant Biotechnol<\/em>. 37<\/strong>, 273-283 (2020). DOI<\/a><\/li>\n
              7. Kitami, T.*, Fukuda, S., Kato, T., Yamaguti, K., Nakatomi, T., Yamano, E., Kataoka, Y., Mizuno, K., Tsuboi, Y., Kogo, Y., Suzuki, H., Ito, M., Morioka, M., Kawaji, H., Koseki, H., Kikuchi, J., Hayashizaki, Y., Ohno, J., Kuratsune, H. and Watanabe, Y.* \u201cDeep phenotyping of myalgic encephalomyelitis\/chronic fatigue syndrome in Japanese population\u201d Sci. Rep<\/em>. 10<\/strong>, 1-12 (2020). DOI<\/a><\/li>\n
              8. Kikuchi, J.* and Yamada, S. \u201cGut microbe transformation of natural products \u2013plant polysaccharides are metabolized by animal symbionts\u201d Comprehensive Natural Products III<\/em> 519-528\u00a0 (2020). DOI<\/a><\/li>\n
              9. \u83ca\u5730\u6df3\u3000\u201c\u30d6\u30eb\u30fc\u30a8\u30b3\u30ce\u30df\u30fc\u3092\u652f\u3048\u308b\u6280\u8853\u3000\uff0d\u6c34\u7523\u30fb\u74b0\u5883\u8a66\u6599\u5206\u6790\u3068\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u6280\u8853\u2015\u201c\u3000\u6771\u30a2\u30b8\u30a2\u6d77\u6d0b\u554f\u984c\u7814\u7a76\u3000<\/em>169-181 (2020).<\/li>\n
              10. \u5742\u7530\u7814\u4e8c\u3001\u9ed2\u8c37\u7be4\u4e4b\u3001\u83ca\u5730\u6df3\u3001\u4f0a\u85e4\u7814\u609f\u3001\u576a\u4e95\u88d5\u7406\u3001\u677e\u672c\u670b\u5b50\u3001\u912d\u7ae0\u4ee3\u3000\u201c\u30dd\u30ea\u30de\u30fc\u7269\u6027\u63a8\u5b9a\u88c5\u7f6e\u304a\u3088\u3073\u5b66\u7fd2\u65b9\u6cd5\u201d\u3000\u7279\u98582020-217774\u30002020\u5e7412\u670825\u65e5 .<\/li>\n
              11. \u4f0a\u85e4\u7814\u609f\u3001\u83ca\u5730\u6df3\u3001\u677e\u672c\u670b\u5b50\u3001\u671d\u5009\u5927\u6cb3\u3001\u9ed2\u8c37\u7be4\u4e4b\u3000\u201c\u74b0\u5883\u56e0\u5b50\u4e88\u6e2c\u88c5\u7f6e\u3001\u65b9\u6cd5\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u3001\u5b66\u7fd2\u6e08\u30e2\u30c7\u30eb\u304a\u3088\u3073\u8a18\u61b6\u5a92\u4f53\u201d\u3000PCT\/JP2020\/16472\uff08\u7279\u98582019-077300\uff09\u30002020\u5e744\u670814\u65e5. WIPO<\/a><\/li>\n<\/ol>\n

                2019<\/strong><\/h2>\n
                \n
                  \n
                1. Mega, R., Abe, F., Kim, J.-S., Tsuboi, Y., Tanaka, K., Kobayashi, H., Sakata, Y., Hanada, K., Tsujimoto, H., Kikuchi, J., Cutler, S. R. and Okamoto, M.* \u201cTuning water use efficiency and drought tolerance in wheat using abscisic acid\u00a0\u00a0receptors\u201d Nature Plants\u00a0<\/em>5<\/strong>, 153-159 (2019). DOI<\/a><\/li>\n
                2. Yamada, S., Ito, K., Kurotani, A., Yamada, Y., Chikayama, E. and Kikuchi, J.* \u201cInterSpin: Integrated supportive webtools for low and high-field NMR analysis toward molecular complexity\u201d\u00a0ACS Omega.<\/em>4<\/strong>, 3361-3369 (2019). DOI<\/a><\/li>\n
                3. Chow, S.*, Inaba, N., Nagai, S., Kurogi, H., Nakamura, Y., Yanagimoto, T., Tanaka, H., Hasegawa, D., Asakura, T., Kikuchi, J., Tomoda, T. and Kodama, T. \u201cMolecular diet analysis of\u00a0Anguilliformes leptocephalus<\/em>\u00a0larvae collected in the western North Pacific\u201d\u00a0PLoS One\u00a0<\/em>14<\/strong>, e0225610 (2019). DOI<\/a><\/li>\n
                4. Matsuda, C., Kato, T., Inoue-Suzuki, S., Kikuchi, J., Ohta, T., Kagawa, M., Hattori, M., Kobayashi, H., Shiba, D., Shirakawa, M., Mizuno, H.*, Furukawa, S., Mukai, C.* and Ohno, H.* \u201cDietary intervention of mice using an improved Multiple Artificial-gravity Research System (MARS) under artificial 1 g<\/em>\u201d npj Microgravity<\/em>\u00a05<\/strong>, 16 (2019). DOI<\/a><\/li>\n
                5. Kato, T., Yamazaki, K., Nakajima, M., Date, Y., Kikuchi, J., Hase, K. and Ohno, H. and Yamazaki, K.* “Oral administration of Porphyromonas gingivalis<\/em>\u00a0alters the gut microbiome and serum metabolome”\u00a0mSphere<\/em>\u00a03<\/strong>, e00460-18 (2019). DOI<\/a><\/li>\n
                6. Kikuchi, J.* \u201cPractical aspects of the analysis of low- and high-field NMR data from environmental complexity\u201d\u00a0Methods in Molecular Biology\u00a0<\/em>(Raftery, Gowda Ed.)\u00a02037<\/strong>, 315-331 (2019). DOI<\/a><\/li>\n
                7. Mekuchi, M., Asakura, T. and Kikuchi, J.* \u201cNew aquaculture technology based on host-symbiotic co-metabolism\u201d\u00a0Marine Metagenomics\u00a0<\/em>(Gojobori, Wada, Kobayashi, Mineta Ed.) 189-218 (2019). DOI<\/a><\/li>\n
                8. \u83ca\u5730\u6df3\u3000\u201c\u9b5a\u985e\u30fb\u6c34\u74b0\u5883\u306e\u6052\u5e38\u6027\u8a55\u4fa1\u3068\u4e88\u6e2c\u79d1\u5b66\u201d\u3000\u65e5\u672c\u8fb2\u5b66\u30a2\u30ab\u30c7\u30df\u30fc\u4f1a\u5831 \u7b2c31\u53f7<\/em>\u3000(2019).<\/li>\n
                9. \u548c\u7530\u6642\u592b\u3001\u6e21\u90e8\u7d42\u4e94\u3001\u4f0a\u85e4\u6587\u6210\u3001\u83ca\u5730\u6df3\u3001\u826f\u6c38\u77e5\u7fa9\u3001\u4f0a\u85e4\u6681\u3001\u9ed2\u8429\u771f\u609f\u3000\u201c\u6301\u7d9a\u53ef\u80fd\u306a\u6c34\u7523\u990a\u6b96\u696d\u3092\u76ee\u6307\u3057\u3066\u3000\uff0d\u7814\u7a76\u958b\u767a\u30fb\u4e8b\u696d\u30fb\u653f\u7b56\u306e\u73fe\u72b6\u3068\u5c55\u958b\u65b9\u5411\uff0d\u201d\u3000\u751f\u7269\u306e\u79d1\u5b66\u3000\u907a\u4f1d <\/em>73<\/strong>, 314-323 (2019).<\/li>\n<\/ol>\n

                  2018<\/strong><\/h2>\n
                  \n
                    \n
                  1. Ito, K., Obuchi, Y., Chikayama, E., Date, Y. and Kikuchi, J.* \u201cExploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals\u201d Chem. Sci.<\/em>\u00a09<\/strong>, 8213-8220 (2018). DOI<\/a><\/li>\n
                  2. Stranne, M., Ren, Y., Fimognari, L., Birdseye, D., Yan, J., Bardor, M., Mollet, J.-C., Komatsu, T., Kikuchi, J., Scheller, H. V. and Sakuragi, Y.* \u201cTBL10<\/em>\u00a0is required for\u00a0O<\/em>-acetylation of pectic rhamonogalacturonan-I in\u00a0Arabidopsis thaliana<\/em>\u201d\u00a0Plant J.\u00a0<\/em>96<\/strong>, 772-785 (2018). DOI<\/a><\/li>\n
                  3. Mekuchi, M., Sakata, K., Asakura, T., Yamaguchi, T., Teruya, K. and Kikuchi, J.* \u201cIntestinal microbiota composition is altered according to nutritional biorhythms in the leopard coral grouper (Plectropomus leopardus<\/em>)\u201d\u00a0PLoS On<\/em>e\u00a013<\/strong>, e0197256 (2018). DOI<\/a><\/li>\n
                  4. Saito, Y., Tsuchida, H., Matsumoto, T., Makita, Y., Kikuchi, J. and Matsui, M.* \u201cScreening of fungi for decomposition of lignin-derived products from Japanese cedar\u201d\u00a0J. Biosci. Bioeng.\u00a0<\/em>126<\/strong>, 573-579 (2018). DOI<\/a><\/li>\n
                  5. Oita, A., Tsuboi, Y., Date, Y., Oshima, T., Sakata, K., Yokoyama, A., Moriya, S. and Kikuchi, J.*\u00a0\u00a0\u201cProfiling physicochemical and planktonic features from discretely\/continuously sampled surface water\u201d\u00a0Sci.Total Environ<\/em>\u00a0636<\/strong>, 12-19 (2018). DOI<\/a><\/li>\n
                  6. Asakura, T., Sakata, K., Date, Y. and Kikuchi, J.* \u201cRegional feature extraction of various fishes based on chemical and microbial variable selection using machine learning\u201d Anal. Methods<\/em>\u00a010<\/strong>, 2160-2168 (2018). DOI<\/a><\/li>\n
                  7. Asakura, T., Date, Y. and Kikuchi, J.* \u201cApplication of ensemble deep neural network to metabolomics studies\u201d Anal. Chim\u00a0\u00a0Acta.<\/em>\u00a090<\/strong>, 1805-1810 (2018). DOI<\/a><\/li>\n
                  8. Vergara, F.*, Shino, M., Rymen, B. and Kikuchi, J. \u201cThe effect of ploidy on the concentration of soluble sugars in wheat seeds \u2013 Exploring the metabolome of Afghan wheat landraces\u201d\u00a0Current Metabolomics<\/em>\u00a06<\/strong>, 140-146 (2018). DOI<\/a><\/li>\n
                  9. Wei, F., Sakata, K., Asakura, T., Date, Y. and Kikuchi, J.* \u201cSystemic Homeostasis in Metabolome, Ionome and Microbiome of Wild Yellowfin Goby in Estuarine Ecosystem\u201d\u00a0Sci. Rep.<\/em>\u00a08<\/strong>. 3478 (2018). DOI<\/a><\/li>\n
                  10. Shiokawa, Y., Date, Y. and Kikuchi, J.* \u201cApplication of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet\u201d\u00a0Sci. Rep.\u00a0<\/em>8<\/strong>, 3426 (2018). DOI<\/a><\/li>\n
                  11. Date, Y.* and Kikuchi, J.* \u201cApplication of a deep neural network to metabolomics studies and its performance in determining important variables\u201d\u00a0Anal. Chem.<\/em>\u00a090<\/strong>, 1805-1810 (2018). DOI<\/a><\/li>\n
                  12. Itouga, M., Hayatsu, M., Sato, M., Tsuboi, Y., Kato-Komatsu, Y., Toyooka, K., Suzuki, S., Ono, Y., Nakatsuka, S., Kawakami, S., Kikuchi, J. and Sakakibara, H.* \u201cProtonema of the moss Funaria hygrometrica<\/em> can function as a lead (Pb) adsorbent\u201d PLoS One.<\/em>\u00a012<\/strong>, e0189726 (2018). DOI<\/a><\/li>\n
                  13. Kikuchi, J.*, Ito, K. and Date, Y. \u201cEnvironmental metabolomics with data science as investigation of ecosystem homeostasis\u201d\u00a0Progress in NMR Spectroscopy<\/em>\u00a0104<\/strong>, 56-88 (2018). DOI<\/a><\/li>\n
                  14. Hsu Y, Koizumi H, Otagiri M, Moriya S, Arioka M. \u201cTrp residue at subsite -\u20095 plays a critical role in the substrate binding of two protistan GH26 \u03b2-mannanases from a termite hindgut\u201d\u00a0App. Microbiol. Biotechnol.\u00a0<\/em>102<\/strong>, 1737-1747 (2018). DOI<\/a><\/li>\n
                  15. \u83ca\u5730\u6df3*\u3001\u6b66\u90e8\u5b5d\u884c\u3000\u201c\u30a8\u30b3\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u3088\u308b\u96e3\u990a\u6b96\u9b5a\u7a2e\u306e\u6301\u7d9a\u7684\u751f\u7523\u7ba1\u7406\u69cb\u60f3\u201d\u00a0\u30a2\u30b0\u30ea\u30d0\u30a4\u30aa<\/em>\u00a02<\/strong>, 28-31 (2018)<\/li>\n<\/ol>\n

                    2017<\/strong><\/h2>\n
                    \n
                      \n
                    1. \u00a0Osaka, T.*, Moriyama, E., Arai, S., Date, Y., Yagi, J., Kikuchi, J. and Tsuneda, S.* \u201cMeta-analysis of fecal microbiota and metabolites in experimental colitic mice during the inflammatory and healing phases\u201d Nutrients<\/em>\u00a09<\/strong>, e1329 (2017). DOI<\/a><\/li>\n
                    2. Shima, H., Masuda, S., Date, Y., Shino, A., Tsuboi, Y., Kajikawa, M., Inoue, Y., Kanamoto, T. and Kikuchi, J.* \u201cExploring the impact of food on gut ecosystem based on the combination of machine learning and network visualization\u201d\u00a0Nutrients<\/em>\u00a09<\/strong>, e1307 (2017). DOI<\/a><\/li>\n
                    3. Uchimiya, M.*, Tsuboi, Y., Ito, K., Date, Y. and Kikuchi, J.* \u201cBacterial substrate transformation tracked by stable-isotope-guided NMR metabolomics: Application in a natural aquatic microbial community\u201d\u00a0Metabolites<\/em>\u00a07<\/strong>, e52 (2017). DOI<\/a><\/li>\n
                    4. Qin, X.-Y., Hara, M., Arner, E., Kawaguchi, Y., Inoue, I., Tatsukawa, H., Furutani, Y., Nagatsuma, K., Matsuura, T., Wei, F., Kikuchi, J., Sone, H., Daub, C., Kawaji, H., Lassmann, T., Ito, M., Suzuki, H., Carninci, P., Hayashizaki, Y., FANTOM consortium, Kokudo, N., Forrest, A. and Kojima, S.* \u201cTranscriptome analysis uncovers a growth-promoting activity of orosomucoid-1 on hepatocytes\u201d\u00a0EBioMedicine<\/em>\u00a024<\/strong>, 257-266 (2017). DOI<\/a><\/li>\n
                    5. Tomita, S.*, Saito, K., Nakamura, T., Sekiyama, Y. and Kikuchi, J. \u201cRapid discrimination of strain-dependent fermentation characteristics among Lactobacillus strains by NMR-based metabolomics of fermented vegetable juice\u201d\u00a0PLoS One<\/em>\u00a012<\/strong>, e0182229 (2017). DOI<\/a><\/li>\n
                    6. Mekuchi, M., Sakata, K., Yamaguchi, T., Koiso, M. and Kikuchi, J.* \u201cTrans-omics approaches represented used to characterize fish nutritional biorhythms in Leopard coral groupers (Plectropomus leopardus<\/em>)\u201d\u00a0Sci. Rep<\/em>.\u00a07<\/strong>, 9372 (2017). DOI<\/a><\/li>\n
                    7. Tsutsui, S., Date, Y. and Kikuchi, J.* \u201cVisualizing individual and region-specific microbial-metabolite relations by important variable selection using machine learning approach\u201d\u00a0J. Computer Aided Chem<\/em>. 18<\/strong>, 31-41 (2017). DOI<\/a><\/li>\n
                    8. Teramura, H., Sasaki, K., Kawaguchi, H., Matsuda, F., Kikuchi, J., Shirai, T., Sazuka, T., Yamasaki, M., Takumi, S. Ogino, C. and Kondo, A.* \u201cDifferences in glucose yield of residues from among varieties of rice, wheat, and sorghum after dilute acid pretreatment\u201d\u00a0Biosci. Biotechnol. Biochem<\/em>\u00a081<\/strong>, 1650-1656 (2017). DOI<\/a><\/li>\n
                    9. Sekiyama, S.*, Okazaki, K., Kikuchi, J. and Ikeda, S. \u201cNMR-based metabolic profiling of field-grown leaves from sugar beet plants harboring different levels of resistance to\u00a0Cercospora<\/em>\u00a0leaf spot disease\u201d\u00a0Metabolites<\/em>\u00a07<\/strong>, 4-13 (2017). DOI<\/a><\/li>\n
                    10. Tomita, S., Ikeda, S., Tsuda, S., Someya, N., Asano, K., Kikuchi, J., Chikayama, E., Ono, H. and Sekiyama, Y.* \u201cA survey of metabolic changes in potato leaves by non-targeted, NMR-based metabolic profiling in relation to resistance to late blight disease under field conditions \u201c\u00a0Magn. Reson. Chem.\u00a0<\/em>55<\/strong>, 120-127 (2017). DOI<\/a><\/li>\n
                    11. Kikuchi, J.* and Yamada, S. \u201cNMR window of molecular complexity showing homeostasis in superorganisms\u201d\u00a0Analyst<\/em>\u00a0142<\/strong>, 4161-4172 (2017). DOI<\/a><\/li>\n
                    12. Kikuchi, J.* \u201cNMR analysis of molecular complexity\u201d\u00a0Experimental approaches of NMR spectroscopy \u2013Methodology and application for life science and material science-<\/em> 461-489 (2017). DOI<\/a><\/li>\n
                    13. Kikuchi, J.* and Komatsu, T. \u201cPolysaccharides as major carbon sources in environmental biodiversity\u201d\u00a0NMR in Glycoscience and Glycotechnology<\/em> 369-395 (2017). DOI<\/a><\/li>\n
                    14. Katahira, S., Muramoto, N., Moriya, S., Nagura, R., Tada, N, Yasutani, N., Ohkuma, M., Onishi, T. and Tokuhiro, K.* \u201cProfiling physicochemical and planktonic features from discretely\/continuously sampled surface water\u00a0Screening and evolution of a novel protist xylose isomerase from the termite\u00a0Reticulitermes speratus<\/em> for efficient xylose fermentation in Saccharomyces cerevisiae<\/em>\u201d\u00a0Biotechnol. Biofuels<\/em>\u00a010<\/strong>, 203 (2017). DOI<\/a><\/li>\n
                    15. Otagiri, M., Khalid, A., Moriya, S., Osada, H. and Takahashi, S.* \u201cNovel squalene-producing thraustochytrids found in mangrove water\u201d\u00a0Biosci. Bioeng. Biochem<\/em>.\u00a081,<\/strong> 2034-2037 (2017). DOI<\/a><\/li>\n<\/ol>\n

                      2016<\/strong><\/h2>\n
                      \n
                        \n
                      1. Komatsu, T., Ohishi, R., Shino, A. and Kikuchi, J.* \u201cStructure and metabolic flow analysis of molecular complexity in\u00a013<\/sup>C-labeled tree by 2D and 3D-NMR\u201d\u00a0Angew. Chem. Int. Ed.<\/em>\u00a055<\/strong>, 6000-6003\u00a0\u00a0(2016). DOI<\/a><\/li>\n
                      2. Shiokawa, Y., Misawa, T., Date, Y. and Kikuchi, J.* \u201cApplication of Maket Basket Analysis for Visualization of Transaction Data based on Human Lifestyle and Spectroscopic Measurements\u201d\u00a0Anal. Chem<\/em>.\u00a088<\/strong>, 2714-2719 (2016). DOI<\/a><\/li>\n
                      3. Ito, K., Tsutsumi, Y., Date, Y. and Kikuchi, J.* \u201cFragment Assembly Approach Based on Graph\/Network Theory with Quantum Chemistry Verifications for Assigning Multidimensional NMR Signals in Metabolite Mixtures\u201d\u00a0ACS Chem. Biol.<\/em>\u00a011<\/strong>, 1030-1038 (2016). DOI<\/a><\/li>\n
                      4. Kikuchi, J.* Tsuboi, Y., Komatsu, K., Gomi, M., Chikayama, E. and Date, Y. \u201cSpinCouple: Development of web-tool for analyzing metabolite mixtures via 2D-J resolved NMR spectra\u201d\u00a0Anal. Chem.<\/em>\u00a088<\/strong>, 659-666 (2016). DOI<\/a><\/li>\n
                      5. Misawa, T., Komatsu, T., Date, Y. and Kikuchi, J.* \u201cSENSI: Signal ENhancement by Spectral Integration for Analysis of Metabolic Mixtures\u201d\u00a0Chem. Commun.<\/em>\u00a052<\/strong>, 2964-2967 (2016). DOI<\/a><\/li>\n
                      6. Chikayama, E.*, Yamashina, R., Komatsu, K., Tsuboi, Y., Sakata, K., Kikuchi, J. and Sekiyama, Y. \u201cFoodPro: a web-based tool for evaluating covariance and correlation NMR spectra associated with food processes\u201d\u00a0 Metabolites<\/em>\u00a06<\/strong>, 36 (2016). DOI<\/a><\/li>\n
                      7. Misawa, T., Wei, F. and Kikuchi, J.* \u201cApplication of two-dimensional nuclear magnetic resonance for signal enhancement by spectral integration using a large dataset of metabolic mixtures\u201d\u00a0Anal. Chem<\/em>.\u00a088<\/strong>, 6130-6134 (2016). DOI<\/a><\/li>\n
                      8. Ogura, T., Date, Y., Masukujane, M., Coetzee, T., Akashi, K. and Kikuchi, J.* \u201cImprovement of physical, chemical, and biological properties of aridisol from Botswana by incorporation of torrefied biomass\u201d\u00a0Sci. Rep<\/em>.\u00a06<\/strong>, 28011 (2016). DOI<\/a><\/li>\n
                      9. Vergara, F.* Kikuchi, J. Breuer, C. \u201cArtificial Autopolyploidization Modifies the Tricarboxylic Acid Cycle and GABA Shunt in\u00a0Arabidopsis thaliana<\/em>\u00a0Col-0\u201d\u00a0Sci. Rep<\/em>.\u00a06<\/strong>, 26515 (2016). DOI<\/a><\/li>\n
                      10. Chikayama, E., Shimbo, Y., Komatsu, K. and Kikuchi, J.* \u201cThe effect of molecular conformation on the accuracy of theoretical\u00a01<\/sup>H and\u00a013<\/sup>C chemical shifts calculated by\u00a0ab initio<\/em>\u00a0methods for metabolic mixture analysis\u201d\u00a0J. Phys. Chem.<\/em>\u00a0120<\/strong>, 3479-3487 (2016). DOI<\/a><\/li>\n
                      11. Ogura, T., Hoshino, R., Date, Y. and Kikuchi, J.* \u201cVisualization of microfloral metabolism for marine waste recycling\u201d\u00a0Metabolites<\/em>\u00a06<\/strong>, 7 (2016). DOI<\/a><\/li>\n
                      12. Okubo-Kurihara, E., Ohtani, M., Kurihara, Y., Kakegawa, K., Kobayashi, M., Nagata, N., Komatsu, T., Kikuchi, J., Cutler, S., Demura, T. and Matsui, M.* \u201cModification of plant cell wall structure accompanied by enhancement of saccharification efficiency using a chemical, lasalocid sodium\u201d\u00a0Sci. Rep.<\/em>\u00a06<\/strong>, 34602 (2016). DOI<\/a><\/li>\n
                      13. Vergara, F.* Shino, A. and Kikuchi, J.* \u201cCannibalism Affects Core Metabolic Processes in\u00a0Helicoverpa armigera<\/em>\u00a0Larvae \u2013A 2D NMR Metabolomics Study\u201d\u00a0Int. J. Mol. Sci.<\/em>\u00a017,<\/strong> 1470 (2016). DOI<\/a><\/li>\n
                      14. Sasaki, K., Okamoto, M., Shirai, T., Tsuge, Y., Fujino, A., Sasaki, D., Morita, M., Matsuda, F., Kikuchi, J. and Kondo, A.* \u201cToward the complete utilization of rice straw: Methane fermentation and lignin recovery by a combinational process involving mechanical milling, supporting material, and nanofiltration\u201d\u00a0Bioresource. Technol.<\/em>\u00a0216<\/strong>, 830-837 (2016). DOI<\/a><\/li>\n
                      15. Teramura, H., Sasaki, K., Oshima, T., Aikawa, S., Matsuda, F., Okamoto, M., Shirai, T., Kawaguchi, H., Ogino, C., Hirano, K., Sazuka, T., Kitano, H., Kikuchi, J. and Kondo, A.* \u201cOrganosolv pretreatment of sorghum bagasse using a low concentration of hydrophobic solvents such as 1-butanol or 1-pentanol\u201d\u00a0Biotech. Biofuels<\/em>\u00a09<\/strong>, 27 (2016). DOI<\/a><\/li>\n
                      16. \u83ca\u5730\u6df3\u3000\u201c\u98df\u6750\u3068\u30d2\u30c8\u306e\u6052\u5e38\u6027\u8a55\u4fa1\u201d\u3000\u30d5\u30fc\u30c9\u30b1\u30df\u30ab\u30eb<\/em>\u300012<\/strong>, 53-57 (2016).<\/li>\n
                      17. \u83ca\u5730\u6df3\u3000\u201c\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u306b\u3088\u308b\u8178\u5185\u5fae\u751f\u7269\u4ee3\u8b1d\u3068\u6052\u5e38\u6027\u8a55\u4fa1\u201d\u3000FOOD STYLE21\u00a0<\/em>20<\/strong>, 37-40\u00a0(2016).<\/li>\n
                      18. \u83ca\u5730\u6df3\u3000\u201c\u4ee3\u8b1d\u6df7\u5408\u7269\u8907\u96d1\u7cfb\u306e\u975e\u5206\u96e2\u69cb\u9020\u89e3\u6790\u201d\u3000\u5316\u5b66<\/em>\u300071<\/strong>, 35-39 (2016).<\/li>\n
                      19. \u83ca\u5730\u6df3\u3000\u201c\u5fae\u751f\u7269\u7fa4\u96c6\u304a\u3088\u3073\u30d2\u30c8\u8d85\u6709\u6a5f\u4f53\u306e\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u201d\u3000\u30d2\u30c8\u30de\u30a4\u30af\u30ed\u30d0\u30a4\u30aa\u30fc\u30e0\u7814\u7a76\u306e\u6700\u524d\u7dda\u3000\u30a8\u30cc\u30c6\u30a3\u30fc\u30a8\u30b9\u51fa\u7248<\/em>\u300069-79 (2016).<\/li>\n<\/ol>\n

                        2015<\/strong><\/h2>\n
                        \n
                          \n
                        1. Komatsu, T., Kobayashi, T., Hatanaka, M. and Kikuchi, J.* \u201cProfiling planktonic biomass using element-specific, multicomponent nuclear magnetic resonance spectroscopy\u201d Environ. Sci. Technol.<\/em>\u00a049<\/strong>, 7056-7062 (2015). DOI<\/a><\/li>\n
                        2. Ogura, T., Date, Y., Tsuboi, Y. and Kikuchi, J.* \u201cMetabolic dynamics analysis by massive data integration: application to tsunami-affected field soils in Japan\u201d\u00a0ACS Chem. Biol.<\/em>\u00a010<\/strong>, 1908-1915 (2015). DOI<\/a><\/li>\n
                        3. Motegi, H., Tsuboi, Y., Saga, A., Kagami, T., Inoue, M., Toki, H., Minowa, O., Noda, T. and Kikuchi, J.* \u201cIdentification of reliable components in multivariate curve resolution-alternating least squares (MCR-ALS) for a data-driven approach across metabolic processes\u201d\u00a0Sci. Rep<\/em>.\u00a05<\/strong>, 15710 (2015). DOI<\/a><\/li>\n
                        4. Wei, F., Ito, K., Sakata, K., Date, Y. and Kikuchi, J.* \u201cPretreatment and integrated analysis of spectral data reveal seaweed similarities based on chemical diversity\u201d\u00a0Anal. Chem.<\/em>\u00a087<\/strong>, 2819-2826 (2015). DOI<\/a><\/li>\n
                        5. Misawa, T., Date, Y. and Kikuchi, J.* \u201cHuman metabolic, mineral and microbiota fluctuations across daily nutritional intakes visualized by data-driven approach\u201d\u00a0J. Proteome Res.<\/em>\u00a014<\/strong>, 1526-1534 (2015). DOI<\/a><\/li>\n
                        6. Mori, T., Tsuboi, Y., Ishida, N., Nishikubo, N., Demura, T. and Kikuchi, J.*\u00a0\u00a0\u201cMultidimensional high-resolution magic angle spinning and solution-state NMR characterization of\u00a013<\/sup>C-labeled plant metabolites and lignocellulose”\u00a0Sci. Rep.<\/em>\u00a05<\/strong>, 11848 (2015). DOI<\/a><\/li>\n
                        7. Sugahara, H.*, Odamaki, T., Xiao J.Z., Abe, F., Kato, T., Kikuchi, J., Fukuda, S. and Ohno, H. \u201cBifidobacterium longum<\/em>\u00a0BB536 induces gut luminal metabolic changes through modulation of microbial community\u201d\u00a0Sci. Rep.<\/em>\u00a05<\/strong>, 13548 (2015). DOI<\/a><\/li>\n
                        8. Radhika, V., Ueda, N., Tsuboi, Y., Kojima, M., Kikuchi, J., Kudo, T. and Sakakibara, H.* \u201cMethylated cytokinins from phytopathogen Rhodococcus fascians<\/em>\u00a0mimic plant hormone activity\u201d\u00a0Plant Physiol<\/em>.\u00a0169<\/strong>, 1118-1126 (2015). DOI<\/a><\/li>\n
                        9. Sasaki, K., Okamoto, M., Shirai, T., Tsuge, Y., Teramura, H., Sasaki, D., Kawaguchi, H., Hasunuma, T., Ogino, C., Matsuda, F., Kikuchi, J. and Kondo, A.* \u201cPrecipitate obtained following membrane separation of hydrothermally pretreated rice straw liquid revealed by 2D NMR to have high lignin content\u201d <\/span>Biotech. Biofuels<\/em>\u00a0<\/span>8<\/strong>, 88 (2015). <\/span>DOI<\/a><\/li>\n
                        10. Teramura, H., Sasaki, K., Oshima, T., Aikawa, S., Matsuda, F., Kawaguchi, H., Ogino, C., Yamazaki, M., Shirai, T., Okamoto, M., Kikuchi, J. and Kondo, A.* \u201cChanges in lignin and polysaccharide components in 13 cultivars of rice straw following dilute acid pretreatment as studied by solution-state 2D\u00a01<\/sup>H-13<\/sup>C NMR\u201d\u00a0PLoS ONE.<\/em>\u00a010<\/strong>, e0128417 (2015). DOI<\/a><\/li>\n
                        11. Tsuji, Y., Vanholme, R., Tobimatsu, Y., Ishikawa, Y., Foster, C. E., Kamimura, N., Hishiyama, S., Hashimoto, S., Shino, A., Hara, H., Sato-Izawa, K., Oyarce, P., Goeminne, G., Morreel, K., Kikuchi, J., Takano, T., Fukuda, M., Katayama, Y., Boerjan, W., Ralph, J., Masai, E. and Kajita, S.* \u201cIntroduction of chemically labile substructures in Arabidopsis lignin through the use of the Ca\u00a0dehydrogenase from\u00a0Sphingobium sp<\/em>. Strain SYK-6\u201d\u00a0Plant Biotechnol. J.\u00a0<\/em>13<\/strong>, 821-832 (2015). DOI<\/a><\/li>\n
                        12. Hsieh, C.-Y., Osaka, T., Moriyama, E., Date, Y., Kikuchi, J. and Tsuneda, S.* \u201cSrengthening of the intestinal epithelial tight junction by\u00a0Bifidobacterium bifidum<\/em>\u201d\u00a0Physiol. Rep.<\/em>\u00a03<\/strong>, e12327 (2015). DOI<\/a><\/li>\n
                        13. Watanabe, M.*, Ohta, Y., Sun, L., Motoyama, N. and Kikuchi, J. \u201cProfiling contents of water-soluble metabolites and mineral nutrients to evaluate the effects of pesticides and organic and chemical fertilizers on tomato fruit quality\u201d\u00a0Food. Chem.<\/em>\u00a0169<\/strong>, 387-395 (2015). DOI<\/a><\/li>\n
                        14. Tomita, S., Nemoto, T., Matsuo, Y., Shoji, T., Tanaka, F., Ono, H., Kikuchi, J., Ohnishi-Kameyama, M. and Sekiyama, S.* \u201cA NMR-based, non-targeted multistep metabolic profiling revealed L-rhamnitol as a metabolite that characterised apples from different geographic origins\u201d\u00a0Food Chem.<\/em>\u00a0174<\/strong>, 163-172 (2015). DOI<\/a><\/li>\n
                        15. \u83ca\u5730\u6df3\u3000\u201c\u30bb\u30eb\u30ed\u30fc\u30b9\u7cfb\u6750\u6599\u306e\u69cb\u9020\u591a\u578b\u6027\u89e3\u6790\u201d\u3000\u30bb\u30eb\u30ed\u30fc\u30b9\u30ca\u30ce\u30d5\u30a1\u30a4\u30d0\u30fc\u306e\u8abf\u88fd\u3001\u5206\u6563\u30fb\u8907\u5408\u5316\u3068\u88fd\u54c1\u5fdc\u7528<\/em>\u00a0377-389 (2015).<\/li>\n<\/ol>\n

                          2014<\/strong><\/h2>\n
                          \n
                            \n
                          1. Ito, K., Sakata, K., Date, Y. and Kikuchi, J.* \u201cIntegrated analysis of seaweed components in seasonal fluctuation by data mining across heterogeneous chemical measurements with network visualization\u201d Anal. Chem.<\/em> 86<\/strong>, 1098-1105 (2014). DOI<\/a><\/li>\n
                          2. Date, Y., Nakanishi, Y., Fukuda, S. Nuijima, Y., Kato, T., Umehara, M., Ohno, H., and Kikuchi, J.* \u201cIn vitro<\/em> evaluation method for screening of candidate prebiotic foods\u201d Food Chem.<\/em> 152<\/strong>, 251-260 (2014). DOI<\/a><\/li>\n
                          3. Yamazawa, A., Iikura, T., Morioka, Y., Shino, A., Ogata, Y., Date, Y. and Kikuchi, J.* \u201cCellulose digestion and metabolisms induced biocatalytic transitions in anaerobic microbial ecosystems\u201d Metabolites.<\/em> 4<\/strong>, 36-52 (2014). DOI<\/a><\/li>\n
                          4. Asakura, T., Date, Y. and Kikuchi, J.* \u201cComparative analysis of chemical and microbial profiles in estuarine sediments sampled from Kanto and Tohoku regions in Japan\u201d Anal. Chem<\/em>. 86<\/strong>, 5425-5432 (2014). DOI<\/a><\/li>\n
                          5. Tokuda, T., Tsuboi, Y., Kihara, K. Saito, S. Moriya, S. Lo, N. and Kikuchi, J.* \u201cMetabolomic profiling of 13<\/sup>C-cellulose digestion in a lower termite: insights into symbiont function\u201d Proc. Royal Soc. B.<\/em> 281<\/strong>, 20140990 (2014). DOI<\/a><\/li>\n
                          6. Kato, T., Fukuda, S., Fujiwara, A., Suda, W., Hattori, M., Kikuchi, J. and Ohno, H.* \u201cMultiple omics uncovers host-gut microbial mutualism during prebiotic fructooligosaccharide supplementation\u201d DNA Res.<\/em> 21<\/strong>, 469-480 (2014). DOI<\/a><\/li>\n
                          7. Watanabe, T., Shino, A., Akashi, K. and Kikuchi, J.* “Chemical profiling of Jatropha tissues under different torrefaction conditions: application to biomass waste recovery\u201d PLoS ONE<\/em> 9<\/strong>, e106893 (2014). DOI<\/a><\/li>\n
                          8. Asakura, T., Sakata, K., Yoshida, S., Date, Y. and Kikuchi, J.* \u201cNoninvasive analysis of metabolic changes following nutrient input into diverse fish species, as investigated by metabolic and microbial profiling approaches\u201d PeerJ. <\/em>2<\/strong>, e556 (2014). DOI<\/a><\/li>\n
                          9. Yoshida, S., Date, Y. and Kikuchi, J.* \u201cComparative metabolomic and ionomic approach for abundant fishes in estuarine environments of Japan\u201d Sci. Rep.<\/em> 4<\/strong>, 7005 (2014). DOI<\/a><\/li>\n
                          10. Ogawa, D., Moriya, S., Tsuboi, Y., Date, Y., Prieto, A., Bapista, G., Yamane, T. and Kikuchi, J.* \u201cBiogeochemical typing of paddy field by a data-driven approach revelling sub-systems within a complex environment \u2013A pipeline to filtrate, organize and frame massive dataset from multi- omics analyses\u201d PLoS ONE<\/em> 9<\/strong>, e110723 (2014). DOI<\/a><\/li>\n
                          11. Komatsu, T., Oishi, R., Shino, A. Akashi, K and Kikuchi, J.* \u201cMulti-spectroscopic analysis of seed quality and 13<\/sup>C-stable-isotopologue monitoring in initial growth metabolism of Jatropha curcas L. using stable-isotope labeling\u201d Metabolites<\/em> 4<\/strong>, 1018-1033 (2014). DOI<\/a><\/li>\n
                          12. Yang, Z., Nakabayashi, R., Okazaki, Y., Mori, T., Takamatsu, S., Torizuka, K., Kitanaka, S., Kikuchi, J., Saito, K.* \u201cToward better annotation in plant metabolomics: Isolation and structure elucidation of 36 specialized metabolites from Oryza sativa by using MS\/MS and NMR analyses\u201d Metabolomics<\/em> 10<\/strong>, 543-555 (2014). DOI<\/a><\/li>\n
                          13. Tsukagoshi, H., Nakamura, A., Ishida, T., Touhara, K. K., Otagiri, M., Moriya, S., Samejima, M., Igarashi, K., Fushinobu, S., Kitamoro, K., and Arioka, M. \u201cStructural and Biochemical Analyses of Glycoside Hydrolase Family 26 beta-Mannanase from a Symbiotic Protist of the Termite Reticulitermes speratus\u201d J. Biol. Chem.<\/em> 289<\/strong>, 10843-52 (2014). DOI<\/a><\/li>\n
                          14. Kudo T., Sakamoto K., Akinaga M., Kawauchi A., Nakahara T., Zhang X., Yamada A., Oshima K., Suda W., Kuwahara H., Nakamura N., Nogi Y., Kitamura K., Yuki M., Iida T., Moriya S., Inoue T., Hongoh Y., Hattori M., Ohkuma M. \u201cDraft Genome Sequences of Cyclodextrin-Producing Alkaliphilic Bacillus Strains JCM 19045, JCM 19046, and JCM 19047\u201d Genome Annoucements<\/em> 2<\/strong>, e00211-14 (2014). DOI<\/a><\/li>\n
                          15. Kudo T., Kidera A., Kida M., Kawauchi A., Shimizu R., Nakahara T., Zhang X., Yamada A., Amano M., Hamada Y., Taniyama S., Arakawa O., Yoshida A., Oshima K., Suda W., Kuwahara H., Nogi Y., Kitamura K., Yuki M., Iida T., Moriya S., Inoue T., Hongoh Y., Hattori M., Ohkuma M. \u201cDraft genome sequences of Psychrobacter strains JCM 18900,JCM 18901, JCM 18902, and JCM 18903, isolated preferentially from frozen aquatic organisms\u201d Genome Annoucements <\/em>2<\/strong>, e00280-14 (2014). DOI<\/a><\/li>\n
                          16. Tsukagoshi H, Nakamura A, Ishida T, Otagiri M, Moriya S, Samejima M, Igarashi K, Kitamoto K, Arioka M. \u201cThe GH26 \u03b2-mannanase RsMan26H from a symbiotic protist of the termite Reticulitermes speratus is an endo-processive mannobiohydrolase: heterologous expression and characterization\u201d Biochem Biophys Res Commun.<\/em> 452<\/strong>, 520-5 (2014). DOI<\/a><\/li>\n
                          17. \u83ca\u5730\u6df3\u3000\u201c\u5b89\u5b9a\u540c\u4f4d\u4f53\u6a19\u8b58\u306b\u3088\u308b\u751f\u4f53\u5206\u5b50\u6df7\u5408\u7269\u306a\u3089\u3073\u306b\u4ee3\u8b1d\u7d4c\u8def\u89e3\u6790\u201d\u3000\u751f\u7269\u5de5\u5b66\u4f1a\u8a8c\u3000<\/em>92<\/strong>, 100-109 (2014).<\/li>\n
                          18. \u83ca\u5730\u6df3\u3000\u201c\u98df\u3068\u4ee3\u8b1d\u306e\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u201d\u3000\u5b9f\u9a13\u533b\u5b66\u3000<\/em>32<\/strong>, 699-705 (2014).<\/li>\n
                          19. \u83ca\u5730\u6df3\u3000\u201c\u98df\u306e\u6765\u305f\u9053\u9084\u308b\u9053\u201d \u30d0\u30a4\u30aa\u30a4\u30f3\u30c0\u30b9\u30c8\u30ea\u30fc 31<\/strong>, <\/em>37-44 (2014).<\/li>\n
                          20. \u5c0f\u677e\u529f\u5178\u3001\u83ca\u5730\u6df3\u3000\u201c\u8907\u96d1\u7cfb\u9ad8\u5206\u5b50\u7fa4\u306b\u6311\u3080\u30d0\u30a4\u30aa\u30de\u30b9NMR\u306e\u4e16\u754c\u201d\u3000\u7d30\u80de\u5de5\u5b66 <\/em>33<\/strong>, 843-849 (2014).<\/li>\n
                          21. \u4e09\u6fa4\u62d3\u771f\u3001\u4f0a\u85e4\u7814\u609f\u3001\u83ca\u5730\u6df3 \u201cNMR\u3067\u6311\u3080\u8907\u96d1\u7cfb\u306e\u5206\u5b50\u5b87\u5b99\u201d \u751f\u7269\u5de5\u5b66\u4f1a\u8a8c\u00a0 <\/em>92<\/strong>, 504-510 (2014).<\/li>\n
                          22. \u83ca\u5730\u6df3 \u201c\u5206\u5b50\u8907\u96d1\u7cfb\u201d NMR <\/em> 5<\/strong>, 75-82 (2014).<\/li>\n
                          23. \u83ca\u5730\u6df3 \u201cNMR\u306b\u304a\u3051\u308b\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u201d \u751f\u7269\u5de5\u5b66\u4f1a\u8a8c <\/em>92<\/strong>, 561 (2014).<\/li>\n<\/ol>\n

                            2013<\/strong><\/h2>\n
                            \n
                              \n
                            1. Furusawa, Y., Obata, Y., Fukuda, S.*, Endo, T., Nakato, G., Takahashi, D., Nakanishi, Y., Uetake, C., Kato, K., Kato, T., Takahashi, M., Fukuda, N., Murakami, S., Miyauchi, E., Hino, S., Atarashi, K., Onawa, S., Fujimura, Y., Lockett, T., Clarke, J. M., Topping, D. L., Tomita, M., Hori, S., Ohara, O., Morita, T., Koseki, H., Kikuchi, J., Honda, K., Hase, K.* and Ohno, H.* \u201cCommensal microbe-derived butyrate induces colonic regulatory T cells\u201d Nature<\/em> 504<\/strong>, 446-450 (2013). DOI<\/a><\/li>\n
                            2. Komatsu, T. and Kikuchi, J.* \u201cComprehensive signal assignment of 13<\/sup>C-labeled lignocellulose using multidimensional solution NMR and 13<\/sup>C chemical shift comparison with solid-state NMR\u201d Anal.Chem.<\/em> 85<\/strong>, 8857-8865 (2013). DOI<\/a><\/li>\n
                            3. Yamazawa, A., Date, Y., Ito, K. and Kikuchi, J.* \u201cVisualizing microbial dechlorination processes in underground ecosystem by statistical correlation and network analysis approach\u201d J. Biosci. Bioeng.<\/em> 117<\/strong>, 305-309 (2014). DOI<\/a><\/li>\n
                            4. Komatsu, T. and Kikuchi, J.* \u201cSelective signal detection in solid-state NMR using rotor synchronized dipolar dephasing for the analysis of hemicellulose in lignocellulosic biomass\u201d J. Phys. Chem.Lett. <\/em> 4<\/strong>, 2279-2283 (2013). DOI<\/a><\/li>\n
                            5. Ogura, T., Date, Y. and Kikuchi, J.* \u201cDifferences in Cellulosic Supramolecular Structure of Compositionally Similar Rice Straw Affect Biomass Metabolism by Paddy Soil Microbiota\u201d PLoS ONE<\/em> 8<\/strong>, e66919 (2013). DOI<\/a><\/li>\n
                            6. Yamazawa, A., Iikura, T., Shino, A., Date, Y. and Kikuchi, J.* \u201cSolid, solution and gas-state NMR monitoring of 13<\/sup>C-cellulose degradation in an anaerobic microbial ecosystem\u201d Molecules.<\/em> 18<\/strong>, 9021-9033 (2013). DOI<\/a><\/li>\n
                            7. Yamamura, M., Noda, S., Hattori, T., Shino, A., Kikuchi, J., Takabe, K., Tagane, S., Gau, M., Uwatoko, N., Mii, M., Suzuki, S., Shibata, D. and Umezawa, T.* \u201cCharacterization of lignocellulose of Erianthus arundinaceus<\/em> in relation to enzymatic saccharification efficiency\u201d Plant Biotechnol.<\/em> 30<\/strong>, 25-35 (2013). DOI<\/a><\/li>\n
                            8. Guichard P., Hachet V., Majubu N., Neves A., Demurtas D., Olieric N., Fluckiger I., Yamada A., Kihara K., Nishida Y., Moriya S., Steinmentz M.O., Hongoh Y., G\u00f6nczy P.* \u201cNative architecture of the centriole proximal region reveals novel features underlying their 9-fold radial symmetry\u201d Curr. Biol.<\/em> 23<\/strong>, 1620-1628 (2013). DOI<\/a><\/li>\n
                            9. Otagiri M, Lopez CM, Kitamoto K, Arioka M, Kudo T, Moriya S. \u201cHeterologous expression and characterization of a glycoside hydrolase family 45 endo-\u03b2-1,4-glucanase from a symbiotic protist of the lower termite, Reticulitermes speratus\u201d Appl Biochem Biotechnol.<\/em> 169<\/strong>, 1910-1918 (2013). DOI<\/a><\/li>\n
                            10. \u83ca\u5730\u6df3\u3000\u201c\u7cd6\u8cea\u306e\u5206\u6790\u3000\u6838\u78c1\u6c17\u5171\u9cf4\u6cd5\u201d\u3000\u690d\u7269\u7d30\u80de\u58c1\u3000\uff0d\u57fa\u790e\u3068\u5fdc\u7528\u2015<\/em>\u3000\u8b1b\u8ac7\u793e\u3000(2013).<\/li>\n<\/ol>\n

                              2012<\/strong><\/h2>\n
                              \n
                                \n
                              1. Date, Y., Iikura, T., Yamazawa, A., Moriya, S. and Kikuchi, J.* \u201cMetabolic sequences of anaerobic fermentation on glucose-based feeding substrates based on correlation analyses of microbial and metabolite profiling\u201d J. Proteome Res. <\/em>11<\/strong>, 5602-5610 (2012). DOI<\/a><\/li>\n
                              2. Ogata, Y., Chikayama, E., Morioka, Y., Everroad, R.C., Shino, A., Matsushima, A., Haruna, H., Moriya, S., Toyoda, T., and Kikuchi, J.* \u201cECOMICS: A web-based toolkit for investigating the biomolecular web in ecosystems using a trans-omics approach\u201d PLoS ONE. <\/em>7<\/strong>, e30263 (2012). DOI<\/a><\/li>\n
                              3. Okushita, K., Chikayama, E. and Kikuchi, J.* \u201cSolubilization mechanism and characterization of the structural change of bacterial cellulose in regenerated states through ionic liquid treatment\u201d Biomacromolecules. <\/em>13<\/strong>, 1323-1330 (2012). DOI<\/a><\/li>\n
                              4. Mori, T. Chikayama, E., Tsuboi, Y., Ishida, N., Shisa, N., Moriya, S., and Kikuchi, J.* \u201cExploring conformational space of amorphous cellulose based on NMR chemical shifts\u201d Carbohydr. Polymers. <\/em>90<\/strong>, 1197-1203 (2012). DOI<\/a><\/li>\n
                              5. Date, Y., Sakata, K. and Kikuchi, J.* \u201cChemical profiling of complex biochemical mixtures from various seaweeds\u201d Polymer J. <\/em>44<\/strong>, 888-894 (2012). DOI<\/a><\/li>\n
                              6. Okushita, K., Komatsu, T., Chikayama, E. and Kikuchi, J.* \u201cStatistical approach for solid-state NMR spectra of a cellulose derived from a series of variable parameters\u201d Polymer J. <\/em>44<\/strong>, 895-900 (2012). DOI<\/a><\/li>\n
                              7. Tominaga, T., Sano, K., Kikuchi, J., Mitomo, H., Ijiro, K. and Osada, H. \u201cHydrophilic Double-Network Polymers that Sustain High Mechanical Modulus under 80% Humidity\u201d ACS Macro Lett. <\/em>1<\/strong>, 432-436 (2012). DOI<\/a><\/li>\n
                              8. Matsuda, F., Okazaki, Y., Oikawa, A., Kusano, M., Nakabayashi, R., Kikuchi, J., Yonemaru, J., Ebana, K., Yano, M. and Saito, K. \u201cDissection of genotype-phenotype associations in rice grains using metabolome quantitative trait loci analysis\u201d Plant J. <\/em>70<\/strong>, 624-636 (2012). DOI<\/a><\/li>\n
                              9. Everroad, C. R., Yoshida, S., Tsuboi, Y., Date, Y., Kikuchi, J.* and Moriya, S. \u201cConcentration of metabolites from low-density planktonic communities for environmental metabolomics using nuclear magnetic resonance spectroscopy\u201d J. Vis. Exp<\/em>. e3163 (2012). DOI<\/a><\/li>\n
                              10. Watanabe, T., Shino, A., Akashi, K. and Kikuchi, J.* \u201cSpectroscopic investigation of tissue-specific biomass profiling of Jatropha curcas. L\u201d Plant Biotechnol. <\/em>29<\/strong>, 163-170 (2012). DOI<\/a><\/li>\n
                              11. Sakurai, N., Ogata, Y., Ara, T., Sano, R., Akimoto, N., Suzuki, H., Kajikawa, M., Widyastuti, W., Suharsono, S., Yokota, A., Akashi, K., Kikuchi, J. and Shibata, T. “Development of KaPPA-View4 for omics studies on Jatropha and a database system KaPPA-Loader for construction of local omics databases” Plant Biotechnol.<\/em> 29<\/strong>, 131-135 (2012). DOI<\/a><\/li>\n
                              12. Vergara, F., Everroad, R. C., Andraca, G., Kikuchi, J. and Makihara, H. \u201cPlant host differences between Cossus redtenbacheri and Cossus insularis: insights from mechanical tests and molecular phylogeny\u201d Bull. Insect. <\/em>65<\/strong>, 217-222 (2012).<\/li>\n
                              13. \u83ca\u5730\u6df3 \u201c\u5fae\u751f\u7269\u306e\u3082\u3064\u57fa\u672c\u7684\u306a\u4ee3\u8b1d\u3092\u7406\u89e3\u3059\u308b\u201d\u3000\u5fae\u751f\u7269\u6a5f\u80fd\u5b66<\/em> \u2015\u5fae\u751f\u7269\u30ea\u30bd\u30fc\u30b9\u3068\u907a\u4f1d\u5b50\u30ea\u30bd\u30fc\u30b9\u306e\u5229\u7528<\/em>\u2015\u3000\u4e09\u5171\u51fa\u7248 (2012).<\/li>\n
                              14. \u95a2\u5c71\u606d\u4ee3\u3001\u8fd1\u5c71\u82f1\u8f14\u3001\u83ca\u5730\u6df3\u3000\u201cNMR\u8a08\u6e2c\u306b\u3088\u308a\u7269\u8cea\u8cc7\u6e90\u30fb\u60c5\u5831\u8cc7\u6e90\u3092\u62bd\u51fa\u3059\u308b\u201c\u3076\u3093\u305b\u304d<\/em>\u3000(2012).<\/li>\n
                              15. \u672c\u9593\u4fe1\u5b5d\u3001\u672b\u5b89\u8349\u3001\u77f3\u7530\u5ba3\u5f18\u3001\u6bdb\u5229\u8aa0\u3001\u83ca\u5730\u6df3\u3001\u576a\u4e95\u88d5\u7406\u3001\u5b88\u5c4b\u7e41\u6625\u3000\u201c\u30d0\u30a4\u30aa\u30de\u30b9\u539f\u6599\u304b\u3089\u30d5\u30a7\u30ce\u30fc\u30eb\u3092\u88fd\u9020\u3059\u308b\u65b9\u6cd5\u201d\u3000\u7279\u98582012-155007 \u5e73\u621024\u5e747\u670810\u65e5.<\/li>\n<\/ol>\n

                                2011<\/strong><\/h2>\n
                                \n
                                  \n
                                1. Sekiyama, Y., Chikayama, E. and Kikuchi, J.* \u201cEvaluation of a semipolar solvent system as a step toward heteronuclear multidimensional NMR-based metabolomics for 13C-labeled bacteria, plants, and animals\u201d Anal. Chem. <\/em>83<\/strong>, 719-726 (2011). DOI<\/a><\/li>\n
                                2. Fukuda, S., Toh, H., Hase, K., Nakanishi, Y., Oshima, K., Yoshimura, K., Tobe, T., Clarke, J. M., Topping, D. L., Suzuki, T., Taylor, T. D., Itoh, K., Kikuchi, J., Morita, H., Hattori, M.* and Ohno, H.* \u201cBifidobacteria can protect from enteropathogenic infection through production of acetate\u201d Nature.<\/em> 469<\/strong>, 543-547 (2011). DOI<\/a><\/li>\n
                                3. Nakanishi, Y., Fukuda, S., Chikayama, E. Kimura, Y., Ohno, H. and Kikuchi, J.* \u201cDynamic omics approach identifies nutrition-mediated microbial interactions\u201d J. Proteome Res. <\/em>10<\/strong>, 824-831 (2011). DOI<\/a><\/li>\n
                                4. Takase, T., Ishikawa, H., Murakami, H., Kikuchi, J., Sato-Nara, K.* and Suzuki, H. \u201cThe Circadian Clock Modulates Water Dynamics and Aquaporin Expression in Arabidopsis Roots\u201d Plant Cell Physiol. <\/em>52<\/strong>, 373-383 (2011). DOI<\/a><\/li>\n
                                5. Kikuchi, J., Ogata, Y. and Shinozaki, K. \u201cECOMICS: ECosytem trans-OMICS tools and methods for complex environmental samples and datasets\u201d J. Ecosys. Ecogr<\/em>. S2 001 (2011). DOI<\/a><\/li>\n
                                6. Sasagawa T, Matsui M, Kobayashi Y, Otagiri M, Moriya S, Sakamoto Y, Ito Y, Lee CC, Kitamoto K, Arioka M “High-throughput recombinant gene expression systems in Pichia pastoris using newly developed plasmid vectors\u201d Plasmid. <\/em>65<\/strong>, 65-69 (2011). DOI<\/a><\/li>\n
                                7. Todaka N, Nakamura R, Moriya S, Ohkuma M, Kudo T, Takahashi H, Ishida N. \u201cScreening of optimal cellulases from symbiotic protists of termites through expression in the secretory pathway of Saccharomyces cerevisiae\u201d Biosci Biotechnol Biochem. <\/em>75<\/strong>, 2260-2263 (2011). DOI<\/a><\/li>\n
                                8. \u83ca\u5730\u6df3\u3001\u846d\u7530\u5f81\u4e8c\u3001\u576a\u4e95\u88d5\u7406\u3001\u4f0a\u9054\u5eb7\u535a \u201c\u74b0\u5883\u5909\u52d5\u306e\u60c5\u5831\u3092\u751f\u7269\u306e\u4ee3\u8b1d\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u304b\u3089\u6349\u3048\u308b\u8a66\u307f\u201c\u3000\u30b1\u30df\u30ab\u30eb\u30a8\u30f3\u30b8\u30cb\u30e4\u30ea\u30f3\u30b0<\/em>\u300056<\/strong>, 38-43 (2011).<\/li>\n
                                9. \u7be0\u963f\u5f25\u5b87\u3001\u8fd1\u5c71\u82f1\u8f14\u3001\u83ca\u5730\u6df3 \u201c\u30ea\u30b0\u30ce\u30bb\u30eb\u30ed\u30fc\u30b9NMR\u89e3\u6790\u6280\u8853\u306e\u73fe\u72b6\u3068\u5c55\u671b\u201d\u3000\u30b1\u30df\u30ab\u30eb\u30a8\u30f3\u30b8\u30cb\u30e4\u30ea\u30f3\u30b0<\/em>\u300056<\/strong>, 32-37 (2011).<\/li>\n
                                10. \u7279\u98582011-156812 \u68ee\u54f2\u54c9\u3001\u5fd7\u4f50\u502b\u5b50\u3001\u83ca\u5730\u6df3\u3001\u5b88\u5c4b\u7e41\u6625\u3001\u576a\u4e95\u88d5\u7406\u3001\u77f3\u7530\u4e98\u5e83\u3000\u201c\u30d0\u30a4\u30aa\u30de\u30b9\u7cd6\u5316\u7387\u4e88\u6e2c\u65b9\u6cd5\u201d 2011\u5e747\u670815\u65e5.<\/li>\n<\/ol>\n

                                  2010<\/strong><\/h2>\n
                                  \n
                                    \n
                                  1. Sekiyama, Y., Chikayama, E. and Kikuchi, J.* \u201cProfiling polar and semi-polar plant metabolites throughout extraction processes using a combined solution-state and HR-MAS NMR approach\u201d Anal. Chem. <\/em>82<\/strong>, 1643-1652 (2010). DOI<\/a><\/li>\n
                                  2. Chikayama, E., Sekiyama, E., Okamoto, M., Nakanishi, Y., Tsuboi, Y., Akiyama, K., Saito, K., Shinozaki, K. and Kikuchi, J.* \u201cStatistical indices for simultaneous large-scale metabolite detections for a single NMR spectrum\u201d Anal. Chem. <\/em>82<\/strong>, 1653-1658 (2010). DOI<\/a><\/li>\n
                                  3. Date, Y., Nakanishi, Y., Fukuda, S., Kato, T., Tsuneda, S., and Ohno, H. and Kikuchi, J.* \u201cNew monitoring approach for metabolic dynamics in microbial ecosystems using stable-isotope-labeling technologies\u201d J. Biosci. Bioeng. <\/em>110<\/strong>, 87-93 (2010). DOI<\/a><\/li>\n
                                  4. Serve, O., Kamiya, Y., Maeno, A., Nakano, M., Murakami, C., Sasakawa, H., Kamiya, Y., Yamaguchi, Y., Harada, T., Kurimoto, E., Iguchi, T., Inaba, K., Kikuchi, J., Asami, O., Kajino, T., Oka, T., Nakasako, M and Kato, K.* \u201cRedox-dependent domain arrangement of protein disulfide bond isomerase coupled with exposure of its substrate-binding hydrophobic surface\u201d J. Mol. Biol. <\/em>396<\/strong>, 361-374 (2010). DOI<\/a><\/li>\n
                                  5. Todaka N, Inoue T , Saita K , Ohkuma M, Nalepa CA, Lenz M, Kudo T, Moriya S* \u201cPhylogenetic Analysis of Cellulolytic Enzyme Genes from Representative Lineages of Termites and a Related Cockroach\u201d PLoS ONE<\/em> 5<\/strong>, e8636 (2010). DOI<\/a><\/li>\n
                                  6. Todaka N, Lopez CM, Inoue T, Saita K, Maruyama J, Arioka M, Kitamoto K, Kudo T, Moriya S.* \u201cHeterologous Expression and Characterization of an Endoglucanase from a Symbiotic Protist of the Lower Termite, Reticulitermes speratus\u201d Appl Biochem Biotechnol<\/em>. 160<\/strong>,1168-78 (2010). DOI<\/a><\/li>\n
                                  7. Chikayama E, Kurotani A, Tanaka T, Yabuki T, Miyazaki S, Yokoyama S, Kuroda Y.* “Mathematical model for empirically optimizing large scale production of soluble protein domains\u201d BMC Bioinformatics. <\/em>11<\/strong>, e113 (2010). DOI<\/a><\/li>\n
                                  8. \u83ca\u5730\u6df3\u3001\u5c3e\u5f62\u5584\u4e4b\u3000\u201c\u30d0\u30a4\u30aa\u30de\u30b9\u5229\u7528\u306e\u8a2d\u8a08\u56f3\u5165\u624b\u3092\u76ee\u6307\u3057\u305f\u7269\u8cea\u30fb\u60c5\u5831\u8cc7\u6e90\u306e\u63a2\u7d22\u201d\u3000\u672a\u5229\u7528\u30d0\u30a4\u30aa\u30de\u30b9\u306e\u6d3b\u7528\u6280\u8853\u3068\u74b0\u5883\u8ca0\u8377\u30fb\u4e8b\u696d\u6027\u8a55\u4fa1<\/em>\u3000\u30b5\u30a4\u30a8\u30f3\u30b9\uff06\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3000105-114 (2010).<\/li>\n
                                  9. \u83ca\u5730\u6df3\u3001\u95a2\u5c71\u606d\u4ee3\u3001\u4f0a\u9054\u5eb7\u535a\u3000\u201c\u4ee3\u8b1d\u89e3\u6790\u306b\u304a\u3051\u308bNMR\u6280\u8853\u958b\u767a\u306e\u73fe\u72b6\u3068\u5c06\u6765\u5c55\u671b\u201d\u3000Radioisotopes <\/em>59<\/strong>, 637-658 (2010).<\/li>\n
                                  10. \u83ca\u5730\u6df3\u3001\u5b88\u5c4b\u7e41\u6625\u3001\u798f\u7530\u771f\u55e3\u3001\u5927\u91ce\u535a\u53f8\u3000\u201c\u5fae\u751f\u7269\u7fa4\u96c6\u306e\u7d71\u5408\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u201c\u3000\u96e3\u57f9\u990a\u5fae\u751f\u7269\u7814\u7a76\u306e\u6700\u65b0\u6280\u8853II<\/em>\u3000CMC\u51fa\u7248\u3000147-155 (2010).<\/li>\n
                                  11. \u83ca\u5730\u6df3\u3000\u201cNMR\u6cd5\u306b\u3088\u308b\u4ee3\u8b1d\u8868\u73fe\u578b\u89e3\u6790\u3000\uff0d\u305d\u306e\u73fe\u72b6\u3068\u5c55\u671b\u2015\u201c\u3000\u907a\u4f1d\u5b50\u533b\u5b66 <\/em>16<\/strong>, 81-85 (2010).<\/li>\n
                                  12. \u8fd1\u5c71\u82f1\u8f14\u3001\u8d64\u6728\u8b19\u4e00\u3001\u83ca\u5730\u6df3\u3000\u201cNMR\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u306e\u30bd\u30d5\u30c8\u30a6\u30a8\u30a2\u958b\u767a\u201c\u3000\u907a\u4f1d\u5b50\u533b\u5b66 <\/em>16<\/strong>, 126-130 (2010).<\/li>\n<\/ol>\n

                                    2009<\/strong><\/h2>\n
                                    \n
                                      \n
                                    1. Mochida, K.*, Furuta, T., Ebana, K., Shinozaki, K. and Kikuchi, J.* \u201cCorrelation exploration of metabolic and genomic diversities in rice\u201d BMC Genomics. <\/em>10<\/strong>, 563 (2009). DOI<\/a><\/li>\n
                                    2. Okamoto, M., Tsuboi, Y., Chikayama, E., Kikuchi, J. and Hirayama, T.* \u201cMetabolomic movement upon abscisic acid and salicylic acid combined treatments\u201d Plant Biotechnol<\/em>. 26<\/strong>, 551-560 (2009). DOI<\/a><\/li>\n
                                    3. Fukuda, S., Nakanishi, Y., Chikayama, E., Ohno, H., Hino, T. and Kikuchi, J.* \u201cEvaluation and characterization of bacterial metabolic dynamics by a novel profiling technique, real-time metabolotyping\u201d PLoS ONE <\/em>4, e4893 (2009). DOI<\/a><\/li>\n
                                    4. Ohyama, K., Suzuki, M., Kikuchi, J., Saito, K. and Muranaka, T.* \u201c Dual biosynthetic pathways to phytosterol via cycloartenol and lanosterol in Arabidopsis\u201d Proc. Natl. Acad. Sci. USA <\/em>106<\/strong>, 725-730 (2009). DOI<\/a><\/li>\n
                                    5. \u5409\u7530\u6b23\u53f2\u3001\u4e45\u539f\u3068\u307f\u5b50\u3001\u83ca\u5730\u6df3\u3000\u201c\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3068\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u201c\u3000 \u3076\u3093\u305b\u304d <\/em>7<\/strong>, 371-378 (2009).<\/li>\n<\/ol>\n

                                      2008<\/strong><\/h2>\n
                                      \n
                                        \n
                                      1. Chikayama, E., Suto, M., Nishihara, T., Shinozaki, K. and Kikuchi, J.* \u201cSystematic NMR analysis of stable isotope labeled metabolite mixtures in plant and animal systems: Coarse grained views of metabolic pathways\u201d PLoS ONE <\/em>3<\/strong>, e3805 (2008). DOI<\/a><\/li>\n
                                      2. Akiyama, K., Chikayama, E., Yuasa, H., Shimada, Y., Tohge, T., Shinozaki, K., Hirai-Yokota, M., Sakurai, T*., Kikuchi, J.* and Saito, K. \u201cPRIMe: a web site that assembles tools for metabolomics and transcriptomics\u201d In Silico Biology <\/em>8<\/strong>, e27 (2008).<\/li>\n
                                      3. Morita, H., Toh, H., Fukuda, S., Horikawa, H., Ohshima, K., Suzuki, T., Murakami, M., Hisamatsu, S., Kato, Y., Takizawa, T., Fukuoka, H., Yoshimura, T., Ito, K., O\u2019Sullivan, D. J., McKay, L. L., Ohno, H., Kikuchi, J., Masaoka, T. and Hattori, M*. \u201dComparative genome analysis of Lactobacillus reuteri and Lactobacillus fermentum reveal a genomic island for reuterin and cobalamin production\u201d DNA Res. <\/em>15<\/strong>, 151-161 (2008). DOI<\/a><\/li>\n
                                      4. Yuki M, Moriya S, Inoue T, Kudo T.* \u201cTranscriptome analysis of the digestive organs of Hodotermopsis sjostedti, a lower termite that hosts mutualistic microorganisms in its hindgut\u201d Zoolog Sci. <\/em>25<\/strong>, 401-6 (2008). DOI<\/a><\/li>\n
                                      5. Sasaguri S, Maruyama J, Moriya S, Kudo T, Kitamoto K, Arioka M.* \u201cCodon optimization prevents premature polyadenylation of heterologously-expressed cellulases from termite-gut symbionts in Aspergillus oryzae\u201d J. Gener. Appl. Microb<\/em>. 54<\/strong>, 343-351 (2008). DOI<\/a><\/li>\n
                                      6. \u83ca\u5730\u6df3\u3000\u201c\u7d71\u5408\u30d0\u30a4\u30aa\u30ea\u30d5\u30a1\u30a4\u30ca\u30ea\u30fc\u3078\u306eNMR\u6280\u8853\u958b\u767a\u3000\uff0d\u77f3\u6cb9\u8cc7\u6e90\u304c\u751f\u7269\u8cc7\u6e90\u306b\u4ee3\u66ff\u3055\u308c\u308b\u6642\u4ee3\u3092\u898b\u636e\u3048\u3066\u30fc\u201d \u3000\u690d\u7269\u306e\u751f\u9577\u8abf\u7bc0<\/em>\u300043<\/strong>, 144-155 (2008).<\/li>\n
                                      7. \u83ca\u5730\u6df3\u3001\u4e2d\u897f\u88d5\u7f8e\u5b50 \u201c\u4ee3\u8b1d\u52d5\u614b\u306e\u8ffd\u8de1\u3000\uff0d\u5b89\u5b9a\u540c\u4f4d\u4f53\u5229\u7528\u306e\u65b0\u5c40\u9762\u201d\u3000\u30d0\u30a4\u30aa\u30b5\u30a4\u30a8\u30f3\u30b9\u3068\u30a4\u30f3\u30c0\u30b9\u30c8\u30ea\u30fc\u3001 <\/em>66<\/strong>, 143-144 (2008).<\/li>\n
                                      8. \u5b88\u5c4b\u7e41\u6625\u3001\u52a0\u85e4\u5b8c\u3001\u798f\u7530\u771f\u55e3\u3001\u5927\u91ce\u535a\u53f8\u3001\u83ca\u5730\u6df3\u3000 \u201c\u539f\u6838\u751f\u7269\u3001\u7279\u306b\u3001\u771f\u6027\u7d30\u83cc\u306ecDNA\u306e\u7c21\u6613\u306a\u8abf\u6574\u65b9\u6cd5\u201d \u7279\u98582008-52503.<\/li>\n<\/ol>\n

                                        2007<\/strong><\/h2>\n
                                        \n
                                          \n
                                        1. Sekiyama, Y and Kikuchi, J.* \u201cTowards dynamic metabolic network measurement by multi-dimensional NMR-based fluxomics\u201d Phytochemistry <\/em>68<\/strong>, 2320-2329 (2007). DOI<\/a><\/li>\n
                                        2. Tian C.J. Chikayama, E., Tsuboi, Y., Kuromori, T., Shinozaki, K., Kikuchi, J.* and Hirayama, T.* \u201cTop-down phenomics of Arabidopsis thaliana One and two-dimensional NMR metabolic profiling and transcriptome analysis of albino mutants\u201d J. Biol. Chem.<\/em> 282<\/strong>, 18532-18541 (2007). DOI<\/a><\/li>\n
                                        3. Kikuchi, J.* and Hirayama, T. \u201cPractical aspects of stable isotope labeling of higher plants for a hetero-nuclear multi-dimensional NMR-based metabolomics\u201d Method Mol. Biol. <\/em>358<\/strong>, 273-286 (2007). DOI<\/a><\/li>\n
                                        4. Sasaki, R., Sasaki, H., Fukuzawa, S.*, Kikuchi, J., Hirota, H. & Tachibana, K. \u201cThermal analyses of phospholipid mixtures by differential scanning calorimetry and effect of doping with a bolaform amphiphile\u201d Bull. Chem. Soc. Jpn. <\/em>80<\/strong>, 1208-1216 (2007). DOI<\/a><\/li>\n
                                        5. Moriya S, Noda S, Ohkuma M, Kudo T.* \u201cIn situ<\/em> hybridization of termite microbes\u201d Methods Mol Biol<\/em>. 2007 353<\/strong>,105-12 (2007). DOI<\/a><\/li>\n
                                        6. Todaka N, Moriya S, Saita K, Hondo T, Kiuchi I, Takasu H, Ohkuma M, Piero C, Hayashizaki Y, Kudo T.* \u201cEnvironmental cDNA analysis of the genes involved in lignocellulose digestion in the symbiotic protist community of Reticulitermes speratus\u201d FEMS Microbiol Ecol<\/em>. 59<\/strong>, 592-9 (2007). DOI<\/a><\/li>\n
                                        7. \u83ca\u5730\u6df3\u3000\u201c\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u3068NMR\u6280\u8853\u958b\u767a\u201d\u3000\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u306e\u89e3\u6790\u3068\u5fdc\u7528\u6280\u8853<\/em>\u3001CMC\u51fa\u7248\u300186-99 (2007)<\/li>\n
                                        8. \u83ca\u5730\u6df3\u3000\u68ee\u54f2\u54c9\u3001\u96ea\u771f\u5f18\u3001\u897f\u539f\u5d07\u3001\u4f50\u85e4\u4e00\u3001\u7532\u91ce\u88d5\u4e4b \u201c\u690d\u7269\u30d0\u30a4\u30aa\u30de\u30b9\u3078\u306e13C\u4ee3\u8b1d\u30fb\u5206\u89e3\u904e\u7a0b\u306e\u8ffd\u8de1\u3000\uff0d\u9ad8\u5206\u89e3\u80fd\u30de\u30b8\u30c3\u30af\u6838\u56de\u8ee2(hr-MAS)\u6cd5\u306b\u3088\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u201d\u3000\u30d6\u30ec\u30a4\u30f3\u30c6\u30af\u30ce\u30cb\u30e5\u30fc\u30b9\u3001<\/em>124<\/strong>, 16-21 (2007)<\/li>\n
                                        9. \u677e\u7530\u53f2\u751f\u3001\u8349\u91ce\u90fd\u3001\u53ca\u5ddd\u5f70\u3001\u83ca\u5730\u6df3\u3000\u6589\u85e4\u548c\u5b63 \u201c\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u6280\u8853\u306e\u73fe\u72b6\u3068\u5c55\u671b\u3000\u7b2c\uff11\u56de\u3000\u8a66\u6599\u8abf\u6574\u3068\u8a08\u6e2c\u6280\u8853\u201c\u3000 \u5316\u5b66\u3068\u751f\u7269\u3001<\/em>45<\/strong>, 754-760 (2007).<\/li>\n
                                        10. \u677e\u7530\u53f2\u751f\u3001\u8349\u91ce\u90fd\u3001\u53ca\u5ddd\u5f70\u3001\u83ca\u5730\u6df3\u3000\u6589\u85e4\u548c\u5b63 \u201c\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u6280\u8853\u306e\u73fe\u72b6\u3068\u5c55\u671b\u3000\u7b2c\uff12\u56de\u3000\u30c7\u30fc\u30bf\u89e3\u6790\u6280\u8853\u201c\u3000 \u5316\u5b66\u3068\u751f\u7269\u3001<\/em>45<\/strong>, 834-842 (2007).<\/li>\n
                                        11. \u83ca\u5730\u6df3\u3001\u96ea\u771f\u5f18\u3001\u5b88\u5c4b\u7e41\u6625\u3001\u5de5\u85e4\u4fca\u7ae0\u3000 \u201c\u86cb\u767d\u8cea\u306e\u63a2\u7d22\u65b9\u6cd5\u201d\u3000\u7279\u98582007-232792.<\/li>\n<\/ol>\n
                                            \n
                                          1. Miyamoto, H.*, Suda, W.*, Kodama, H., Takahashi, H., Nakanishi, Y., Moriya, S., Adachi, K., Kiriyama, N., Wada, M., Sudo, D., Ito, S., Shibata, M., Wada, S., Murano, T., Taguchi, H., Shindo, C., Tsuboi, A., Tsuji, N., Matsuura, M., Ishii, C., Nakaguma, T., Ito, T., Okada, T., Matsushidata, T., Sato, T., Kato, T., Inabu, T., Tashiro, T., Mori, K., Ido, A., Miura, T., Morita, H., Fukuda, S., Suzuki, K., Nishiuchi, T., Kurotani, A., Shima, H., Wada, S., Masuya, H., Kikuchi, J., Miyamoto, H., Hattori, M., Yamamoto, N. and Ohno, H. ” A cross-species protective biochemical symbiotic interaction between gut inhabitant mesophiles and external thermophiles” Nature Ecology Evolution.\u00a0<\/em><\/li>\n
                                          2. \u83ca\u5730\u6df3\u3000\u201dAI\u306b\u3088\u308bNMR\u30c7\u30fc\u30bf\u4e88\u6e2c\u3068\u30d7\u30ed\u30bb\u30b9\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u3078\u306e\u6d3b\u7528\u201d\u3000\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u304a\u3051\u308b\u30c7\u30fc\u30bf\u89e3\u6790\u306e\u9032\u3081\u65b9\u3068\u5177\u4f53\u7684\u5fdc\u7528\u6cd5<\/em>\u30009 (4) 641-649 (2023).<\/span><\/li>\n<\/ol>\n

                                            2022<\/strong><\/h2>\n
                                              \n
                                            1. Hara, K., Yamada, S., Kurotani, A., Chikayama, E. and Kikuchi, J.* “Materials informatics approach using domain modelling for exploring structure-property relationships of polymers” Sci. Rep.<\/em> 12<\/strong>, 10558 (2022). <\/span>DOI<\/a><\/li>\n
                                            2. Shima, H., Murata, I., Wei, F., Sakata, K. and Kikuchi, J.* “Identification of salmoniformes aquaculture conditions to increase the creatine and anserine levels using multiomics dataset and nonnumerical information” Frontiers in Microbiology<\/em> 13<\/strong>, 991819 (2022).<\/li>\n
                                            3. Yokoyama, D., Suzuki, S., Asakura, T. and Kikuchi, J.* \u00a0“Chemometric analysis of NMR spectra and machine learning to investigate membrane fouling”\u00a0 ACS Omega <\/em>7<\/strong>, 12654-12660 (2022). DOI<\/a><\/li>\n
                                            4. Hara, K., Yamada, S., Chikayama, E. and Kikuchi, J.* “Parameter Visualization of Benchtop Nuclear Magnetic Resonance Spectra Toward Food Process Monitoring” Processes<\/em> 10<\/strong>, 1264 (2022). DOI<\/a><\/li>\n
                                            5. Miyamoto, H.*, Asano, F., Ishizawa, K., Suda, W., Miyamoto, H., Tsuji, N., Matsuura, M., Tsuboi, A., Ishii, C., Nakaguma, T., Shindo, C., Kato, T., Kurotani, A., Shima, H., Moriya, S., Hattori, M., Kodama, H., Ohno, H. and Kikuchi, J.* “A potential network structure of symbiotic bacteria involved in carbon and nitrogen metabolism of wood-utilizing insect larvae” Sci. Total Environ.<\/em> 836<\/strong>, 155520 (2022). DOI<\/a><\/li>\n
                                            6. Yokoyama, D., Suzuki, S., Asakura, T. and Kikuchi, J.* \u00a0“Microbiome and metabolome analyses in different closed-circulation aquarium systems and their network visualization”\u00a0 ACS Omega <\/em>\u00a07<\/strong>, 30399-30404 (2022).<\/li>\n
                                            7. Shono, N., Ito, M, Umezawa, A., Sakata, K., Li, A., Kikuchi, J., Ito, K. and Nakamura, R.* “Tracing and Regulating Redox Homeostasis of Model Benthic Ecosystems for Sustainable Aquaculture in Coastal Environments” Frontiers in Microbiology<\/em> 13<\/strong>, 907733 (2022).<\/li>\n
                                            8. Shima, H., Sato, Y., Sakata, K., Asakura, T., Kikuchi, J.* “Identifying correlation among qualitative non-numeric parameters in natural fish microbe dataset using machine learning” App. Sci. <\/em>12<\/strong>, 5927 (2022). DOI<\/a><\/li>\n
                                            9. Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M.* \u201cDynamics of a stochastic phytoplankton-toxic phytoplankton-zooplankton system under regime switching\u201d Math. Meth. Appl. Sci.<\/em> 45<\/strong>, 9769-9786 (2022). DOI<\/a><\/li>\n
                                            10. Matsui, A., Todaka, D., Tanaka, M., Mizunashi, K., Takahashi, S., Sunaoshi, Y., Tsuboi, Y., Ishida, J., Bashir, K., Kikuchi, J., Kusano, M., Kobayashi, M., Kawaura, K. and Seki, M. “Ethanol induces heat tolerance in plants by stimulating endoplasmic reticulum-mediated stress responses” Plant Mol. Biol.<\/em> 110<\/strong>, 131-145 (2022). DOI<\/a><\/li>\n
                                            11. Avell\u00e1n-Llaguno, R. D., Zhang, X., Zhao, P., Kikuchi, J., Dong, S. and Huang, Q.* “Differential aggregation of polystyrene and titanium dioxide nanoparticles under various salinity conditions and against multiple proteins types” Environ. Sci. Pol. Res.<\/em> 29<\/strong>, 74173-74184 (2022). DOI<\/a><\/li>\n
                                            12. Ito, K., Miyamoto, H.*, Matsuura, M., Ishii, C., Tsuboi, A., Tsuji, N., Nakaguma, T., Nakanishi, Y., Kato, T., Suda, W., Honda, F., Ito, T., Moriya, S., Shima, H., Michibata, R., Yamada, R., Takahashi, Y., Koga, H., Kodama, H., Watanabe, Y., Kikuchi, J. and Ohno, H. \u201cNoninvasive fecal metabolic profiling for the evaluation of probiotic characteristics of thermostable lactic acid bacteria, Weizmannia coagulans <\/em>SANK70258, for broiler chickens\u201d J. Biocsci. Bioeng.<\/em> 134<\/strong>, 105-115 (2022).<\/li>\n
                                            13. Nakano, Y., Endo, H., Hori, C., Ihara, A., Matsumoto, T., Kikuchi, J., Ohtani, M.* and Demura, M. “Enhancement of secondary cell wall formation in poplar xylem using a self-reinforced system of secondary cell wall-related transcription factors ” Front. Plant Sci.\u00a0<\/em>13<\/strong>, 819360 (2022). DOI<\/a><\/li>\n
                                            14. Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M.* \u201cDynamics of a stochastic non-autonomous phytoplankton-zooplankton system involving toxin-producing phytoplankton and impulsive perturbations\u201d Mathematics and Computers in Simulation <\/em>203<\/strong>, 368-386 (2022). DOI<\/a><\/li>\n
                                            15. Sildever, S., Nishi, N., Inaba, N., Asakura, T., Kikuchi, J., Asano, Y., Kobayashi, T., Gojobori, T. and Nagai, S.* “Monitoring harmful microalgal species and their appearance in Tokyo Bay, Japan, using metabarcoding” Metabarcoding and Metagenomics<\/em> 6<\/strong>, 261-280 (2022).<\/li>\n
                                            16. Umeda-Hara, C., Iwakawa, H., Ohtani, M., Demura, T., Matsumoto, T., Kikuchi, J., Murata, K. and Umeda, M.* “Tetraploidization promotes radial stem growth in poplars” Plant Biotechnol.<\/em> 39<\/strong>, 215-220 (2022).<\/li>\n
                                            17. Bashir, K., Rasheed, S., Todaka, D., Matsui, A., Ahmad, Z., Sako, K., Utsumi, Y., Anh Thu, V., Tanaka, M., Takahashi, S., Ishida, J., Tsuboi, Y., Watanabe, S., Kanno, Y., Ando, E., Seito, M., Motegi, H., Sato, M., Li, R., Kikuchi, S., Fujita, M., Kusano, M., Habu, Y., Nagano, A., Kawaura, K., Kikuchi, J., Saito, K., Hirai, M., Seo, M., Shinozaki, K., Kinoshita, T., and Seki, M.* “Ethanol Enhances Drought Stress Tolerance in Plants” Plant Cell Physiol.<\/em> 110<\/strong>, 269-285 (2022).<\/li>\n
                                            18. Kato, T., Kagawa, W., Suda, W., Tsuboi, Y., Inoue-Suzuki, Y., Kikuchi, J., Hattori, M. Ohta, T. and Ohno, H.* “Integrated multi-omics analysis reveals differential effects of fructo-oligosaccharides (FOS) supplementation on the human gut ecosystem” Int. J. Mol. Sci.<\/em> 23<\/strong>, 11728 (2022).<\/li>\n
                                            19. \u76f8\u99ac\u667a\u53f2\u3001\u6a2a\u5c71\u4f50\u4e00\u90ce\u3001\u83ca\u5730\u6df3\u3000\u201d\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u3092\u5229\u7528\u3057\u305f\u98fc\u6599\u958b\u767a\u201d\u3000\u990a\u6b96\u30d3\u30b8\u30cd\u30b9<\/em>\u30005<\/em><\/strong>, 12-15 \uff082022).<\/li>\n<\/ol>\n
                                              \n

                                              \u00a0<\/h2>\n

                                              2021<\/strong><\/h2>\n
                                                \n
                                              1. Ito, K., Xu, X. and Kikuchi, J.* \u201cImproved Prediction of Carbonless NMR Spectra by the Machine Learning of Theoretical and Fragment Descriptors for Environmental Mixture Analysis\u201d Anal. Chem.<\/em> 93<\/strong>, 6901-6906 (2021). DOI<\/a><\/li>\n
                                              2. Wei, F., Ito, K., Sakata, K., Asakura, T., Date, Y. and Kikuchi, J.* \u201cFish ecotyping based on machine learning and inferred network analysis of chemical and physical properties\u201d Sci. Rep<\/em>. 11<\/strong>, 3766 (2021). DOI<\/a><\/li>\n
                                              3. Date, Y., Wei, F., Tsuboi, Y., Ito, K., Sakata, K. and Kikuchi, J.* \u201cRelaxometric learning: a pattern recognition method for T<\/em>2<\/sub> relaxation curves based on machine learning supported by an analytical framework\u201d BMC Chemistry<\/em> 15, <\/b>13 (2021). DOI<\/a><\/li>\n
                                              4. Yamada, S., Chikayama, E. and Kikuchi, J.* \u201cSignal Deconvolution and Generative Topographic Mapping Regression for Solid-state NMR of Multi-component Materials\u201d Int. J. Mol. Sci.<\/em> 22<\/strong>, 1086 (2021). DOI <\/a><\/span><\/li>\n
                                              5. Yamawaki, R., Tei, A., Ito, K. and Kikuchi, J.* \u201cDecomposition Factor Analysis Based on Virtual Experiments Throughout Bayesian Optimization for Compost-Degradable Polymers\u201d <\/span>Appl. Sci.<\/em> 11<\/strong>, 2820 (2021). <\/span>DOI<\/a><\/li>\n
                                              6. Kurotani, A., Kakiuchi, T. and Kikuchi, J.* \u201cSolubility prediction from molecular properties and analytical data using an in-phase deep neural network (ip-DNN)\u201d <\/span>ACS Omega<\/em> 6<\/strong>, 14278-14287 (2021). <\/span>DOI<\/a><\/li>\n
                                              7. Takamura, A., Tsukamoto, K., Sakata, K. and Kikuchi, J.* “Integrative measurement analysis via machine learning descriptor selection for investigating physical properties of biopolymers in hairs” Sci.Rep. <\/em>11, 24359 \u00a0(2021). DOI<\/a><\/span><\/li>\n
                                              8. Akiyoshi, N., Ihara, A., Matsumoto, T., Takebayashi, A., Hiroyama, R., Kikuchi, J., Demura, T. and Ohtani, M.* \u201cFunctional Analysis of Poplar Sombrero-Type NAC Transcription Factors Yields a Strategy to Modify Woody Cell Wall Properties\u201d <\/span>Plant Cell Physiol.<\/em> pcab102 (2021).\u00a0<\/span>DOI<\/a><\/li>\n
                                              9. Liu, H., Dai, C., Yu, H., Guo, Q., Li, J., Hao, A., Kikuchi, J. and Zhao, M.* \u201cDynamics induced by environmental stochasticity in a\u3000phytoplankton-zooplankton system with toxic phytoplankton\u201d Math. Biosci. Eng<\/em>. <\/span>18<\/strong>, 4101-4126 (2021).\u00a0<\/span>DOI<\/a><\/li>\n
                                              10. Watanabe, T.*, Nagai, S., Kawakami, Y., Asakura, T., Kikuchi, J., Inaba, N., Taniuchi, Y., Kurogi, H., Chow, S., Tomoda, T., Ambe, D. and Hasegawa, D. \u201c18S rRNA gene sequences of leptocephalus gut contents, particulate organic matter, and biological oceanographic conditions in the western North Pacific\u201d <\/span>Sci. Rep<\/em>. <\/span>11, <\/b>5488 (2021). <\/span>DOI<\/a><\/li>\n
                                              11. Yamazaki, K., Kato, T., Tsuboi, Y., Miyauchi, E., Suda, W., Sato, K., Nakajima, M., Yokoji-Takeuchi, M., Yamada-Hara, M., Tsuzuno, T., Matsugishi, A., Takahashi, N., Tabeta, K., Miura, N., Okuda, S., Kikuchi, J., Ohno, H. and Yamazaki, K.* ” Oral Pathobiont-Induced Changes in Gut Microbiota Aggravate the Pathology of Nonalcoholic Fatty Liver Disease in Mice” Front. Immunol. <\/em>12, 766170 (2021). <\/span>DOI<\/a><\/li>\n
                                              12. Kikuchi, J.* and Yamada, S. \u201cThe exposome paradigm to predict environmental health in terms of systemic homeostasis and resource balance based on NMR data science\u201d RSC Adv.<\/em> 11<\/strong>, 30426-30447 (2021). <\/span>DOI<\/a><\/li>\n
                                              13. \u83ca\u5730\u6df3\u3000\u201cNMR\u306e\u5206\u5b50\u69cb\u9020\u60c5\u5831\u201d\u3000\u5316\u5b66\u4fbf\u89a7\u3000\u57fa\u790e\u7de8\u7b2c\uff16\u7248<\/em>\u300015-3-2 (2021).<\/span><\/li>\n
                                              14. \u83ca\u5730\u6df3\u3000\u201dNMR\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u306b\u3088\u308b\u98df\u6750\u8a55\u4fa1\u3000-\u7269\u6027\u30fb\u30d7\u30ed\u30bb\u30b9\u30fb\u6442\u98df\u4ee3\u8b1d\u306e\u7279\u5fb4\u62bd\u51fa-\u201d \u3000\u98df\u54c1\u5206\u91ce\u306b\u304a\u3051\u308b\u30e1\u30bf\u30dc\u30ea\u30c3\u30af\u30fb\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u6d3b\u7528\u6700\u524d\u7dda<\/em> (2021).<\/span><\/li>\n
                                              15. \u83ca\u5730\u6df3\u3000\u201c\u91cf\u5b50\u5316\u5b66\u7406\u8ad6\u3068\u6a5f\u68b0\u5b66\u7fd2\u304a\u3088\u3073\u30b1\u30e2\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u3088\u308bNMR\u8a18\u8ff0\u5b50\u4e88\u6e2c\u201d NMR\u306b\u3088\u308b\u6709\u6a5f\u6750\u6599\u5206\u6790\u3068\u30c7\u30fc\u30bf\u89e3\u91c8\u4e8b\u4f8b\u96c6<\/em>\uff082021\uff09.<\/span><\/li>\n
                                              16. \u5c71\u53e3\u79c0\u5e78\u3001\u95a2\u5c71\u606d\u4ee3\u3001\u83ca\u5730\u6df3\u3000\u201c\u98df\u54c1\u306e\u7814\u7a76\u958b\u767a\u306b\u304a\u3051\u308bNMR\u306e\u6d3b\u7528\u201d NMR\u306b\u3088\u308b\u6709\u6a5f\u6750\u6599\u5206\u6790\u3068\u30c7\u30fc\u30bf\u89e3\u91c8\u4e8b\u4f8b\u96c6<\/em>\uff082021\uff09.<\/span><\/li>\n<\/ol>\n

                                                \u00a0<\/h2>\n

                                                2020<\/strong><\/h2>\n
                                                \n
                                                  \n
                                                1. Ito, K., Tsuboi, Y. and Kikuchi, J.* \u201cSpatial molecular-dynamically ordered NMR spectroscopy of intact bodies and heterogeneous systems\u201d Commun. Chem<\/em>. 3<\/strong>, 1-8 (2020). DOI<\/a><\/li>\n
                                                2. Ichihashi, Y.*, Date, Y., Shino, A., Shimizu, T., Shibata, A., Kumaishi, K., Funahashi, F., Wakayama, K., Yamazaki, K., Umezawa, A., Sato, T., Kobayashi, M., Kamimura, M., Kusano, M., Che, F.-S., O\u2019Brien, M., Tanoi, K., Hayashi, M., Nakamura, R., Shirasu, K., Kikuchi, J. and Nihei, N.* \u201cMulti-omics analysis on an agroecosystem reveals the significant role of organic nitrogen to increase agricultural crop yield\u201d Proc. Natl. Acad. Sci. USA<\/em> 117<\/strong>, 14552-14560 (2020). DOI<\/a><\/li>\n
                                                3. Yamada, S., Kurotani, A., Chikayama, E. and Kikuchi, J.* \u201cSignal Deconvolution and Noise Factor Analysis Based on Combination of Time\u2013Frequency Analysis and Probabilistic Sparse Matrix Factorization\u201d Int. J. Mol. Sci.<\/em> 21<\/strong>, 2978 (2020). DOI<\/a><\/li>\n
                                                4. Wei, F.*, Fukuchi, M., Ito, K., Sakata, K., Asakura, T., Date, Y. and Kikuchi, J.* \u201cLarge-Scale Evaluation of Major Soluble Macromolecular Components of Fish Muscle from Conventional 1<\/sup>H NMR Spectral Database\u201d Molecules<\/em> 25<\/strong>, 1966 (2020). DOI<\/a><\/li>\n
                                                5. Zhang, J., Terayama, K., Sumita, M., Yoshizoe, K., Ito, K., Kikuchi, J. and Tsuda, K.* \u201cNMR-TS: de novo molecule identification from NMR spectra\u201d Sci. Technol. Adv. Mater. <\/em>21<\/strong>, 552-561 (2020). DOI<\/a><\/li>\n
                                                6. Hori, C., Yu, X., Mortimer, J. C., Sano, R, Matsumoto, T., Kikuchi, J. and Demura, T. and Ohtani, M.* \u201cImpact of abiotic stress on the regulation of cell wall biosynthesis in Populus trichocarpa<\/em>\u201d Plant Biotechnol<\/em>. 37<\/strong>, 273-283 (2020). DOI<\/a><\/li>\n
                                                7. Kitami, T.*, Fukuda, S., Kato, T., Yamaguti, K., Nakatomi, T., Yamano, E., Kataoka, Y., Mizuno, K., Tsuboi, Y., Kogo, Y., Suzuki, H., Ito, M., Morioka, M., Kawaji, H., Koseki, H., Kikuchi, J., Hayashizaki, Y., Ohno, J., Kuratsune, H. and Watanabe, Y.* \u201cDeep phenotyping of myalgic encephalomyelitis\/chronic fatigue syndrome in Japanese population\u201d Sci. Rep<\/em>. 10<\/strong>, 1-12 (2020). DOI<\/a><\/li>\n
                                                8. Kikuchi, J.* and Yamada, S. \u201cGut microbe transformation of natural products \u2013plant polysaccharides are metabolized by animal symbionts\u201d Comprehensive Natural Products III<\/em> 519-528\u00a0 (2020). DOI<\/a><\/li>\n
                                                9. \u83ca\u5730\u6df3\u3000\u201c\u30d6\u30eb\u30fc\u30a8\u30b3\u30ce\u30df\u30fc\u3092\u652f\u3048\u308b\u6280\u8853\u3000\uff0d\u6c34\u7523\u30fb\u74b0\u5883\u8a66\u6599\u5206\u6790\u3068\u30c7\u30fc\u30bf\u30b5\u30a4\u30a8\u30f3\u30b9\u6280\u8853\u2015\u201c\u3000\u6771\u30a2\u30b8\u30a2\u6d77\u6d0b\u554f\u984c\u7814\u7a76\u3000<\/em>169-181 (2020).<\/li>\n
                                                10. \u5742\u7530\u7814\u4e8c\u3001\u9ed2\u8c37\u7be4\u4e4b\u3001\u83ca\u5730\u6df3\u3001\u4f0a\u85e4\u7814\u609f\u3001\u576a\u4e95\u88d5\u7406\u3001\u677e\u672c\u670b\u5b50\u3001\u912d\u7ae0\u4ee3\u3000\u201c\u30dd\u30ea\u30de\u30fc\u7269\u6027\u63a8\u5b9a\u88c5\u7f6e\u304a\u3088\u3073\u5b66\u7fd2\u65b9\u6cd5\u201d\u3000\u7279\u98582020-217774\u30002020\u5e7412\u670825\u65e5 .<\/li>\n
                                                11. \u4f0a\u85e4\u7814\u609f\u3001\u83ca\u5730\u6df3\u3001\u677e\u672c\u670b\u5b50\u3001\u671d\u5009\u5927\u6cb3\u3001\u9ed2\u8c37\u7be4\u4e4b\u3000\u201c\u74b0\u5883\u56e0\u5b50\u4e88\u6e2c\u88c5\u7f6e\u3001\u65b9\u6cd5\u3001\u30d7\u30ed\u30b0\u30e9\u30e0\u3001\u5b66\u7fd2\u6e08\u30e2\u30c7\u30eb\u304a\u3088\u3073\u8a18\u61b6\u5a92\u4f53\u201d\u3000PCT\/JP2020\/16472\uff08\u7279\u98582019-077300\uff09\u30002020\u5e744\u670814\u65e5. WIPO<\/a><\/li>\n<\/ol>\n

                                                  2019<\/strong><\/h2>\n
                                                  \n
                                                    \n
                                                  1. Mega, R., Abe, F., Kim, J.-S., Tsuboi, Y., Tanaka, K., Kobayashi, H., Sakata, Y., Hanada, K., Tsujimoto, H., Kikuchi, J., Cutler, S. R. and Okamoto, M.* \u201cTuning water use efficiency and drought tolerance in wheat using abscisic acid\u00a0\u00a0receptors\u201d Nature Plants\u00a0<\/em>5<\/strong>, 153-159 (2019). DOI<\/a><\/li>\n
                                                  2. Yamada, S., Ito, K., Kurotani, A., Yamada, Y., Chikayama, E. and Kikuchi, J.* \u201cInterSpin: Integrated supportive webtools for low and high-field NMR analysis toward molecular complexity\u201d\u00a0ACS Omega.<\/em>4<\/strong>, 3361-3369 (2019). DOI<\/a><\/li>\n
                                                  3. Chow, S.*, Inaba, N., Nagai, S., Kurogi, H., Nakamura, Y., Yanagimoto, T., Tanaka, H., Hasegawa, D., Asakura, T., Kikuchi, J., Tomoda, T. and Kodama, T. \u201cMolecular diet analysis of\u00a0Anguilliformes leptocephalus<\/em>\u00a0larvae collected in the western North Pacific\u201d\u00a0PLoS One\u00a0<\/em>14<\/strong>, e0225610 (2019). DOI<\/a><\/li>\n
                                                  4. Matsuda, C., Kato, T., Inoue-Suzuki, S., Kikuchi, J., Ohta, T., Kagawa, M., Hattori, M., Kobayashi, H., Shiba, D., Shirakawa, M., Mizuno, H.*, Furukawa, S., Mukai, C.* and Ohno, H.* \u201cDietary intervention of mice using an improved Multiple Artificial-gravity Research System (MARS) under artificial 1 g<\/em>\u201d npj Microgravity<\/em>\u00a05<\/strong>, 16 (2019). DOI<\/a><\/li>\n
                                                  5. Kato, T., Yamazaki, K., Nakajima, M., Date, Y., Kikuchi, J., Hase, K. and Ohno, H. and Yamazaki, K.* “Oral administration of Porphyromonas gingivalis<\/em>\u00a0alters the gut microbiome and serum metabolome”\u00a0mSphere<\/em>\u00a03<\/strong>, e00460-18 (2019). DOI<\/a><\/li>\n
                                                  6. Kikuchi, J.* \u201cPractical aspects of the analysis of low- and high-field NMR data from environmental complexity\u201d\u00a0Methods in Molecular Biology\u00a0<\/em>(Raftery, Gowda Ed.)\u00a02037<\/strong>, 315-331 (2019). DOI<\/a><\/li>\n
                                                  7. Mekuchi, M., Asakura, T. and Kikuchi, J.* \u201cNew aquaculture technology based on host-symbiotic co-metabolism\u201d\u00a0Marine Metagenomics\u00a0<\/em>(Gojobori, Wada, Kobayashi, Mineta Ed.) 189-218 (2019). DOI<\/a><\/li>\n
                                                  8. \u83ca\u5730\u6df3\u3000\u201c\u9b5a\u985e\u30fb\u6c34\u74b0\u5883\u306e\u6052\u5e38\u6027\u8a55\u4fa1\u3068\u4e88\u6e2c\u79d1\u5b66\u201d\u3000\u65e5\u672c\u8fb2\u5b66\u30a2\u30ab\u30c7\u30df\u30fc\u4f1a\u5831 \u7b2c31\u53f7<\/em>\u3000(2019).<\/li>\n
                                                  9. \u548c\u7530\u6642\u592b\u3001\u6e21\u90e8\u7d42\u4e94\u3001\u4f0a\u85e4\u6587\u6210\u3001\u83ca\u5730\u6df3\u3001\u826f\u6c38\u77e5\u7fa9\u3001\u4f0a\u85e4\u6681\u3001\u9ed2\u8429\u771f\u609f\u3000\u201c\u6301\u7d9a\u53ef\u80fd\u306a\u6c34\u7523\u990a\u6b96\u696d\u3092\u76ee\u6307\u3057\u3066\u3000\uff0d\u7814\u7a76\u958b\u767a\u30fb\u4e8b\u696d\u30fb\u653f\u7b56\u306e\u73fe\u72b6\u3068\u5c55\u958b\u65b9\u5411\uff0d\u201d\u3000\u751f\u7269\u306e\u79d1\u5b66\u3000\u907a\u4f1d <\/em>73<\/strong>, 314-323 (2019).<\/span><\/li>\n<\/ol>\n

                                                    2018<\/strong><\/h2>\n
                                                    \n
                                                      \n
                                                    1. Ito, K., Obuchi, Y., Chikayama, E., Date, Y. and Kikuchi, J.* \u201cExploratory machine-learned theoretical chemical shifts can closely predict metabolic mixture signals\u201d Chem. Sci.<\/em>\u00a09<\/strong>, 8213-8220 (2018). DOI<\/a><\/li>\n
                                                    2. Stranne, M., Ren, Y., Fimognari, L., Birdseye, D., Yan, J., Bardor, M., Mollet, J.-C., Komatsu, T., Kikuchi, J., Scheller, H. V. and Sakuragi, Y.* \u201cTBL10<\/em>\u00a0is required for\u00a0O<\/em>-acetylation of pectic rhamonogalacturonan-I in\u00a0Arabidopsis thaliana<\/em>\u201d\u00a0Plant J.\u00a0<\/em>96<\/strong>, 772-785 (2018). DOI<\/a><\/li>\n
                                                    3. Mekuchi, M., Sakata, K., Asakura, T., Yamaguchi, T., Teruya, K. and Kikuchi, J.* \u201cIntestinal microbiota composition is altered according to nutritional biorhythms in the leopard coral grouper (Plectropomus leopardus<\/em>)\u201d\u00a0PLoS On<\/em>e\u00a013<\/strong>, e0197256 (2018). DOI<\/a><\/li>\n
                                                    4. Saito, Y., Tsuchida, H., Matsumoto, T., Makita, Y., Kikuchi, J. and Matsui, M.* \u201cScreening of fungi for decomposition of lignin-derived products from Japanese cedar\u201d\u00a0J. Biosci. Bioeng.\u00a0<\/em>126<\/strong>, 573-579 (2018). DOI<\/a><\/li>\n
                                                    5. Oita, A., Tsuboi, Y., Date, Y., Oshima, T., Sakata, K., Yokoyama, A., Moriya, S. and Kikuchi, J.*\u00a0\u00a0\u201cProfiling physicochemical and planktonic features from discretely\/continuously sampled surface water\u201d\u00a0Sci.Total Environ<\/em>\u00a0636<\/strong>, 12-19 (2018). DOI<\/a><\/li>\n
                                                    6. Asakura, T., Sakata, K., Date, Y. and Kikuchi, J.* \u201cRegional feature extraction of various fishes based on chemical and microbial variable selection using machine learning\u201d Anal. Methods<\/em>\u00a010<\/strong>, 2160-2168 (2018). DOI<\/a><\/li>\n
                                                    7. Asakura, T., Date, Y. and Kikuchi, J.* \u201cApplication of ensemble deep neural network to metabolomics studies\u201d Anal. Chim\u00a0\u00a0Acta.<\/em>\u00a090<\/strong>, 1805-1810 (2018). DOI<\/a><\/li>\n
                                                    8. Vergara, F.*, Shino, M., Rymen, B. and Kikuchi, J. \u201cThe effect of ploidy on the concentration of soluble sugars in wheat seeds \u2013 Exploring the metabolome of Afghan wheat landraces\u201d\u00a0Current Metabolomics<\/em>\u00a06<\/strong>, 140-146 (2018). DOI<\/a><\/li>\n
                                                    9. Wei, F., Sakata, K., Asakura, T., Date, Y. and Kikuchi, J.* \u201cSystemic Homeostasis in Metabolome, Ionome and Microbiome of Wild Yellowfin Goby in Estuarine Ecosystem\u201d\u00a0Sci. Rep.<\/em>\u00a08<\/strong>. 3478 (2018). DOI<\/a><\/li>\n
                                                    10. Shiokawa, Y., Date, Y. and Kikuchi, J.* \u201cApplication of kernel principal component analysis and computational machine learning to exploration of metabolites strongly associated with diet\u201d\u00a0Sci. Rep.\u00a0<\/em>8<\/strong>, 3426 (2018). DOI<\/a><\/li>\n
                                                    11. Date, Y.* and Kikuchi, J.* \u201cApplication of a deep neural network to metabolomics studies and its performance in determining important variables\u201d\u00a0Anal. Chem.<\/em>\u00a090<\/strong>, 1805-1810 (2018). DOI<\/a><\/li>\n
                                                    12. Itouga, M., Hayatsu, M., Sato, M., Tsuboi, Y., Kato-Komatsu, Y., Toyooka, K., Suzuki, S., Ono, Y., Nakatsuka, S., Kawakami, S., Kikuchi, J. and Sakakibara, H.* \u201cProtonema of the moss Funaria hygrometrica<\/em> can function as a lead (Pb) adsorbent\u201d PLoS One.<\/em>\u00a012<\/strong>, e0189726 (2018). DOI<\/a><\/li>\n
                                                    13. Kikuchi, J.*, Ito, K. and Date, Y. \u201cEnvironmental metabolomics with data science as investigation of ecosystem homeostasis\u201d\u00a0Progress in NMR Spectroscopy<\/em>\u00a0104<\/strong>, 56-88 (2018). DOI<\/a><\/li>\n
                                                    14. Hsu Y, Koizumi H, Otagiri M, Moriya S, Arioka M. \u201cTrp residue at subsite -\u20095 plays a critical role in the substrate binding of two protistan GH26 \u03b2-mannanases from a termite hindgut\u201d\u00a0App. Microbiol. Biotechnol.\u00a0<\/em>102<\/strong>, 1737-1747 (2018). DOI<\/a><\/li>\n
                                                    15. \u83ca\u5730\u6df3*\u3001\u6b66\u90e8\u5b5d\u884c\u3000\u201c\u30a8\u30b3\u30a4\u30f3\u30d5\u30a9\u30de\u30c6\u30a3\u30af\u30b9\u306b\u3088\u308b\u96e3\u990a\u6b96\u9b5a\u7a2e\u306e\u6301\u7d9a\u7684\u751f\u7523\u7ba1\u7406\u69cb\u60f3\u201d\u00a0\u30a2\u30b0\u30ea\u30d0\u30a4\u30aa<\/em>\u00a0<\/span>2<\/strong>, 28-31 (2018)<\/span><\/li>\n<\/ol>\n

                                                      2017<\/strong><\/h2>\n
                                                      \n
                                                        \n
                                                      1. \u00a0Osaka, T.*, Moriyama, E., Arai, S., Date, Y., Yagi, J., Kikuchi, J. and Tsuneda, S.* \u201cMeta-analysis of fecal microbiota and metabolites in experimental colitic mice during the inflammatory and healing phases\u201d Nutrients<\/em>\u00a09<\/strong>, e1329 (2017). DOI<\/a><\/li>\n
                                                      2. Shima, H., Masuda, S., Date, Y., Shino, A., Tsuboi, Y., Kajikawa, M., Inoue, Y., Kanamoto, T. and Kikuchi, J.* \u201cExploring the impact of food on gut ecosystem based on the combination of machine learning and network visualization\u201d\u00a0Nutrients<\/em>\u00a09<\/strong>, e1307 (2017). DOI<\/a><\/li>\n
                                                      3. Uchimiya, M.*, Tsuboi, Y., Ito, K., Date, Y. and Kikuchi, J.* \u201cBacterial substrate transformation tracked by stable-isotope-guided NMR metabolomics: Application in a natural aquatic microbial community\u201d\u00a0Metabolites<\/em>\u00a07<\/strong>, e52 (2017). DOI<\/a><\/li>\n
                                                      4. Qin, X.-Y., Hara, M., Arner, E., Kawaguchi, Y., Inoue, I., Tatsukawa, H., Furutani, Y., Nagatsuma, K., Matsuura, T., Wei, F., Kikuchi, J., Sone, H., Daub, C., Kawaji, H., Lassmann, T., Ito, M., Suzuki, H., Carninci, P., Hayashizaki, Y., FANTOM consortium, Kokudo, N., Forrest, A. and Kojima, S.* \u201cTranscriptome analysis uncovers a growth-promoting activity of orosomucoid-1 on hepatocytes\u201d\u00a0EBioMedicine<\/em>\u00a024<\/strong>, 257-266 (2017). DOI<\/a><\/li>\n
                                                      5. Tomita, S.*, Saito, K., Nakamura, T., Sekiyama, Y. and Kikuchi, J. \u201cRapid discrimination of strain-dependent fermentation characteristics among Lactobacillus strains by NMR-based metabolomics of fermented vegetable juice\u201d\u00a0PLoS One<\/em>\u00a012<\/strong>, e0182229 (2017). DOI<\/a><\/li>\n
                                                      6. Mekuchi, M., Sakata, K., Yamaguchi, T., Koiso, M. and Kikuchi, J.* \u201cTrans-omics approaches represented used to characterize fish nutritional biorhythms in Leopard coral groupers (Plectropomus leopardus<\/em>)\u201d\u00a0Sci. Rep<\/em>.\u00a07<\/strong>, 9372 (2017). DOI<\/a><\/li>\n
                                                      7. Tsutsui, S., Date, Y. and Kikuchi, J.* \u201cVisualizing individual and region-specific microbial-metabolite relations by important variable selection using machine learning approach\u201d\u00a0J. Computer Aided Chem<\/em>. 18<\/strong>, 31-41 (2017). DOI<\/a><\/li>\n
                                                      8. Teramura, H., Sasaki, K., Kawaguchi, H., Matsuda, F., Kikuchi, J., Shirai, T., Sazuka, T., Yamasaki, M., Takumi, S. Ogino, C. and Kondo, A.* \u201cDifferences in glucose yield of residues from among varieties of rice, wheat, and sorghum after dilute acid pretreatment\u201d\u00a0Biosci. Biotechnol. Biochem<\/em>\u00a081<\/strong>, 1650-1656 (2017). DOI<\/a><\/li>\n
                                                      9. Sekiyama, S.*, Okazaki, K., Kikuchi, J. and Ikeda, S. \u201cNMR-based metabolic profiling of field-grown leaves from sugar beet plants harboring different levels of resistance to\u00a0Cercospora<\/em>\u00a0leaf spot disease\u201d\u00a0Metabolites<\/em>\u00a07<\/strong>, 4-13 (2017). DOI<\/a><\/li>\n
                                                      10. Tomita, S., Ikeda, S., Tsuda, S., Someya, N., Asano, K., Kikuchi, J., Chikayama, E., Ono, H. and Sekiyama, Y.* \u201cA survey of metabolic changes in potato leaves by non-targeted, NMR-based metabolic profiling in relation to resistance to late blight disease under field conditions \u201c\u00a0Magn. Reson. Chem.\u00a0<\/em>55<\/strong>, 120-127 (2017). DOI<\/a><\/li>\n
                                                      11. Kikuchi, J.* and Yamada, S. \u201cNMR window of molecular complexity showing homeostasis in superorganisms\u201d\u00a0Analyst<\/em>\u00a0142<\/strong>, 4161-4172 (2017). DOI<\/a><\/li>\n
                                                      12. Kikuchi, J.* \u201cNMR analysis of molecular complexity\u201d\u00a0Experimental approaches of NMR spectroscopy \u2013Methodology and application for life science and material science-<\/em> 461-489 (2017). DOI<\/a><\/li>\n
                                                      13. Kikuchi, J.* and Komatsu, T. \u201cPolysaccharides as major carbon sources in environmental biodiversity\u201d\u00a0NMR in Glycoscience and Glycotechnology<\/em> 369-395 (2017). DOI<\/a><\/li>\n
                                                      14. Katahira, S., Muramoto, N., Moriya, S., Nagura, R., Tada, N, Yasutani, N., Ohkuma, M., Onishi, T. and Tokuhiro, K.* \u201cProfiling physicochemical and planktonic features from discretely\/continuously sampled surface water\u00a0Screening and evolution of a novel protist xylose isomerase from the termite\u00a0Reticulitermes speratus<\/em> for efficient xylose fermentation in Saccharomyces cerevisiae<\/em>\u201d\u00a0Biotechnol. Biofuels<\/em>\u00a010<\/strong>, 203 (2017). DOI<\/a><\/li>\n
                                                      15. Otagiri, M., Khalid, A., Moriya, S., Osada, H. and Takahashi, S.* \u201cNovel squalene-producing thraustochytrids found in mangrove water\u201d\u00a0Biosci. Bioeng. Biochem<\/em>.\u00a0<\/span>81,<\/strong> 2034-2037 (2017). <\/span>DOI<\/a><\/li>\n<\/ol>\n

                                                        2016<\/strong><\/h2>\n
                                                        \n
                                                          \n
                                                        1. Komatsu, T., Ohishi, R., Shino, A. and Kikuchi, J.* \u201cStructure and metabolic flow analysis of molecular complexity in\u00a013<\/sup>C-labeled tree by 2D and 3D-NMR\u201d\u00a0Angew. Chem. Int. Ed.<\/em>\u00a055<\/strong>, 6000-6003\u00a0\u00a0(2016). DOI<\/a><\/li>\n
                                                        2. Shiokawa, Y., Misawa, T., Date, Y. and Kikuchi, J.* \u201cApplication of Maket Basket Analysis for Visualization of Transaction Data based on Human Lifestyle and Spectroscopic Measurements\u201d\u00a0Anal. Chem<\/em>.\u00a088<\/strong>, 2714-2719 (2016). DOI<\/a><\/li>\n
                                                        3. Ito, K., Tsutsumi, Y., Date, Y. and Kikuchi, J.* \u201cFragment Assembly Approach Based on Graph\/Network Theory with Quantum Chemistry Verifications for Assigning Multidimensional NMR Signals in Metabolite Mixtures\u201d\u00a0ACS Chem. Biol.<\/em>\u00a011<\/strong>, 1030-1038 (2016). DOI<\/a><\/li>\n
                                                        4. Kikuchi, J.* Tsuboi, Y., Komatsu, K., Gomi, M., Chikayama, E. and Date, Y. \u201cSpinCouple: Development of web-tool for analyzing metabolite mixtures via 2D-J resolved NMR spectra\u201d\u00a0Anal. Chem.<\/em>\u00a088<\/strong>, 659-666 (2016). DOI<\/a><\/li>\n
                                                        5. Misawa, T., Komatsu, T., Date, Y. and Kikuchi, J.* \u201cSENSI: Signal ENhancement by Spectral Integration for Analysis of Metabolic Mixtures\u201d\u00a0Chem. Commun.<\/em>\u00a052<\/strong>, 2964-2967 (2016). DOI<\/a><\/li>\n
                                                        6. Chikayama, E.*, Yamashina, R., Komatsu, K., Tsuboi, Y., Sakata, K., Kikuchi, J. and Sekiyama, Y. \u201cFoodPro: a web-based tool for evaluating covariance and correlation NMR spectra associated with food processes\u201d\u00a0 Metabolites<\/em>\u00a06<\/strong>, 36 (2016). DOI<\/a><\/li>\n
                                                        7. Misawa, T., Wei, F. and Kikuchi, J.* \u201cApplication of two-dimensional nuclear magnetic resonance for signal enhancement by spectral integration using a large dataset of metabolic mixtures\u201d\u00a0Anal. Chem<\/em>.\u00a088<\/strong>, 6130-6134 (2016). DOI<\/a><\/li>\n
                                                        8. Ogura, T., Date, Y., Masukujane, M., Coetzee, T., Akashi, K. and Kikuchi, J.* \u201cImprovement of physical, chemical, and biological properties of aridisol from Botswana by incorporation of torrefied biomass\u201d\u00a0Sci. Rep<\/em>.\u00a06<\/strong>, 28011 (2016). DOI<\/a><\/li>\n
                                                        9. Vergara, F.* Kikuchi, J. Breuer, C. \u201cArtificial Autopolyploidization Modifies the Tricarboxylic Acid Cycle and GABA Shunt in\u00a0Arabidopsis thaliana<\/em>\u00a0Col-0\u201d\u00a0Sci. Rep<\/em>.\u00a06<\/strong>, 26515 (2016). DOI<\/a><\/li>\n
                                                        10. Chikayama, E., Shimbo, Y., Komatsu, K. and Kikuchi, J.* \u201cThe effect of molecular conformation on the accuracy of theoretical\u00a01<\/sup>H and\u00a013<\/sup>C chemical shifts calculated by\u00a0ab initio<\/em>\u00a0methods for metabolic mixture analysis\u201d\u00a0J. Phys. Chem.<\/em>\u00a0120<\/strong>, 3479-3487 (2016). DOI<\/a><\/li>\n
                                                        11. Ogura, T., Hoshino, R., Date, Y. and Kikuchi, J.* \u201cVisualization of microfloral metabolism for marine waste recycling\u201d\u00a0Metabolites<\/em>\u00a06<\/strong>, 7 (2016). DOI<\/a><\/li>\n
                                                        12. Okubo-Kurihara, E., Ohtani, M., Kurihara, Y., Kakegawa, K., Kobayashi, M., Nagata, N., Komatsu, T., Kikuchi, J., Cutler, S., Demura, T. and Matsui, M.* \u201cModification of plant cell wall structure accompanied by enhancement of saccharification efficiency using a chemical, lasalocid sodium\u201d\u00a0Sci. Rep.<\/em>\u00a06<\/strong>, 34602 (2016). DOI<\/a><\/li>\n
                                                        13. Vergara, F.* Shino, A. and Kikuchi, J.* \u201cCannibalism Affects Core Metabolic Processes in\u00a0Helicoverpa armigera<\/em>\u00a0Larvae \u2013A 2D NMR Metabolomics Study\u201d\u00a0Int. J. Mol. Sci.<\/em>\u00a017,<\/strong> 1470 (2016). DOI<\/a><\/li>\n
                                                        14. Sasaki, K., Okamoto, M., Shirai, T., Tsuge, Y., Fujino, A., Sasaki, D., Morita, M., Matsuda, F., Kikuchi, J. and Kondo, A.* \u201cToward the complete utilization of rice straw: Methane fermentation and lignin recovery by a combinational process involving mechanical milling, supporting material, and nanofiltration\u201d\u00a0Bioresource. Technol.<\/em>\u00a0216<\/strong>, 830-837 (2016). DOI<\/a><\/li>\n
                                                        15. Teramura, H., Sasaki, K., Oshima, T., Aikawa, S., Matsuda, F., Okamoto, M., Shirai, T., Kawaguchi, H., Ogino, C., Hirano, K., Sazuka, T., Kitano, H., Kikuchi, J. and Kondo, A.* \u201cOrganosolv pretreatment of sorghum bagasse using a low concentration of hydrophobic solvents such as 1-butanol or 1-pentanol\u201d\u00a0Biotech. Biofuels<\/em>\u00a09<\/strong>, 27 (2016). DOI<\/a><\/li>\n
                                                        16. \u83ca\u5730\u6df3\u3000\u201c\u98df\u6750\u3068\u30d2\u30c8\u306e\u6052\u5e38\u6027\u8a55\u4fa1\u201d\u3000\u30d5\u30fc\u30c9\u30b1\u30df\u30ab\u30eb<\/em>\u300012<\/strong>, 53-57 (2016).<\/li>\n
                                                        17. \u83ca\u5730\u6df3\u3000\u201c\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u306b\u3088\u308b\u8178\u5185\u5fae\u751f\u7269\u4ee3\u8b1d\u3068\u6052\u5e38\u6027\u8a55\u4fa1\u201d\u3000FOOD STYLE21\u00a0<\/em>20<\/strong>, 37-40\u00a0(2016).<\/li>\n
                                                        18. \u83ca\u5730\u6df3\u3000\u201c\u4ee3\u8b1d\u6df7\u5408\u7269\u8907\u96d1\u7cfb\u306e\u975e\u5206\u96e2\u69cb\u9020\u89e3\u6790\u201d\u3000\u5316\u5b66<\/em>\u300071<\/strong>, 35-39 (2016).<\/li>\n
                                                        19. \u83ca\u5730\u6df3\u3000\u201c\u5fae\u751f\u7269\u7fa4\u96c6\u304a\u3088\u3073\u30d2\u30c8\u8d85\u6709\u6a5f\u4f53\u306e\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u201d\u3000\u30d2\u30c8\u30de\u30a4\u30af\u30ed\u30d0\u30a4\u30aa\u30fc\u30e0\u7814\u7a76\u306e\u6700\u524d\u7dda\u3000\u30a8\u30cc\u30c6\u30a3\u30fc\u30a8\u30b9\u51fa\u7248<\/em>\u300069-79 (2016).<\/span><\/li>\n<\/ol>\n

                                                          2015<\/strong><\/h2>\n
                                                          \n
                                                            \n
                                                          1. Komatsu, T., Kobayashi, T., Hatanaka, M. and Kikuchi, J.* \u201cProfiling planktonic biomass using element-specific, multicomponent nuclear magnetic resonance spectroscopy\u201d Environ. Sci. Technol.<\/em>\u00a049<\/strong>, 7056-7062 (2015). DOI<\/a><\/li>\n
                                                          2. Ogura, T., Date, Y., Tsuboi, Y. and Kikuchi, J.* \u201cMetabolic dynamics analysis by massive data integration: application to tsunami-affected field soils in Japan\u201d\u00a0ACS Chem. Biol.<\/em>\u00a010<\/strong>, 1908-1915 (2015). DOI<\/a><\/li>\n
                                                          3. Motegi, H., Tsuboi, Y., Saga, A., Kagami, T., Inoue, M., Toki, H., Minowa, O., Noda, T. and Kikuchi, J.* \u201cIdentification of reliable components in multivariate curve resolution-alternating least squares (MCR-ALS) for a data-driven approach across metabolic processes\u201d\u00a0Sci. Rep<\/em>.\u00a05<\/strong>, 15710 (2015). DOI<\/a><\/li>\n
                                                          4. Wei, F., Ito, K., Sakata, K., Date, Y. and Kikuchi, J.* \u201cPretreatment and integrated analysis of spectral data reveal seaweed similarities based on chemical diversity\u201d\u00a0Anal. Chem.<\/em>\u00a087<\/strong>, 2819-2826 (2015). DOI<\/a><\/li>\n
                                                          5. Misawa, T., Date, Y. and Kikuchi, J.* \u201cHuman metabolic, mineral and microbiota fluctuations across daily nutritional intakes visualized by data-driven approach\u201d\u00a0J. Proteome Res.<\/em>\u00a014<\/strong>, 1526-1534 (2015). DOI<\/a><\/li>\n
                                                          6. Sugahara, H.*, Odamaki, T., Xiao J.Z., Abe, F., Kato, T., Kikuchi, J., Fukuda, S. and Ohno, H. \u201cBifidobacterium longum<\/em>\u00a0BB536 induces gut luminal metabolic changes through modulation of microbial community\u201d\u00a0Sci. Rep.<\/em>\u00a05<\/strong>, 13548 (2015). DOI<\/a><\/li>\n
                                                          7. Radhika, V., Ueda, N., Tsuboi, Y., Kojima, M., Kikuchi, J., Kudo, T. and Sakakibara, H.* \u201cMethylated cytokinins from phytopathogen Rhodococcus fascians<\/em>\u00a0mimic plant hormone activity\u201d\u00a0Plant Physiol<\/em>.\u00a0169<\/strong>, 1118-1126 (2015). DOI<\/a><\/li>\n
                                                          8. Mori, T., Tsuboi, Y., Ishida, N., Nishikubo, N., Demura, T. and Kikuchi, J.*\u00a0\u00a0\u201cMultidimensional high-resolution magic angle spinning and solution-state NMR characterization of\u00a013<\/sup>C-labeled plant metabolites and lignocellulose”\u00a0Sci. Rep.<\/em>\u00a05<\/strong>, 11848 (2015). DOI<\/a><\/li>\n
                                                          9. Sasaki, K., Okamoto, M., Shirai, T., Tsuge, Y., Teramura, H., Sasaki, D., Kawaguchi, H., Hasunuma, T., Ogino, C., Matsuda, F., Kikuchi, J. and Kondo, A.* \u201cPrecipitate obtained following membrane separation of hydrothermally pretreated rice straw liquid revealed by 2D NMR to have high lignin content\u201d\u00a0Biotech. Biofuels<\/em>\u00a08<\/strong>, 88 (2015). DOI<\/a><\/li>\n
                                                          10. Teramura, H., Sasaki, K., Oshima, T., Aikawa, S., Matsuda, F., Kawaguchi, H., Ogino, C., Yamazaki, M., Shirai, T., Okamoto, M., Kikuchi, J. and Kondo, A.* \u201cChanges in lignin and polysaccharide components in 13 cultivars of rice straw following dilute acid pretreatment as studied by solution-state 2D\u00a01<\/sup>H-13<\/sup>C NMR\u201d\u00a0PLoS ONE.<\/em>\u00a010<\/strong>, e0128417 (2015). DOI<\/a><\/li>\n
                                                          11. Mori, T., Tsuboi, Y., Ishida, N., Nishikubo, N., Demura, T. and Kikuchi, J.*\u00a0\u00a0\u201cMultidimensional high-resolution magic angle spinning and solution-state NMR characterization of\u00a013<\/sup>C-labeled plant metabolites and lignocellulose”\u00a0Sci. Rep.<\/em>\u00a05<\/strong>, 11848 (2015). DOI<\/a><\/li>\n
                                                          12. Tsuji, Y., Vanholme, R., Tobimatsu, Y., Ishikawa, Y., Foster, C. E., Kamimura, N., Hishiyama, S., Hashimoto, S., Shino, A., Hara, H., Sato-Izawa, K., Oyarce, P., Goeminne, G., Morreel, K., Kikuchi, J., Takano, T., Fukuda, M., Katayama, Y., Boerjan, W., Ralph, J., Masai, E. and Kajita, S.* \u201cIntroduction of chemically labile substructures in Arabidopsis lignin through the use of the Ca\u00a0dehydrogenase from\u00a0Sphingobium sp<\/em>. Strain SYK-6\u201d\u00a0Plant Biotechnol. J.\u00a0<\/em>13<\/strong>, 821-832 (2015). DOI<\/a><\/li>\n
                                                          13. Hsieh, C.-Y., Osaka, T., Moriyama, E., Date, Y., Kikuchi, J. and Tsuneda, S.* \u201cSrengthening of the intestinal epithelial tight junction by\u00a0Bifidobacterium bifidum<\/em>\u201d\u00a0Physiol. Rep.<\/em>\u00a03<\/strong>, e12327 (2015). DOI<\/a><\/li>\n
                                                          14. Watanabe, M.*, Ohta, Y., Sun, L., Motoyama, N. and Kikuchi, J. \u201cProfiling contents of water-soluble metabolites and mineral nutrients to evaluate the effects of pesticides and organic and chemical fertilizers on tomato fruit quality\u201d\u00a0Food. Chem.<\/em>\u00a0169<\/strong>, 387-395 (2015). DOI<\/a><\/li>\n
                                                          15. Tomita, S., Nemoto, T., Matsuo, Y., Shoji, T., Tanaka, F., Ono, H., Kikuchi, J., Ohnishi-Kameyama, M. and Sekiyama, S.* \u201cA NMR-based, non-targeted multistep metabolic profiling revealed L-rhamnitol as a metabolite that characterised apples from different geographic origins\u201d\u00a0Food Chem.<\/em>\u00a0174<\/strong>, 163-172 (2015). DOI<\/a><\/li>\n
                                                          16. \u83ca\u5730\u6df3\u3000\u201c\u30bb\u30eb\u30ed\u30fc\u30b9\u7cfb\u6750\u6599\u306e\u69cb\u9020\u591a\u578b\u6027\u89e3\u6790\u201d\u3000\u30bb\u30eb\u30ed\u30fc\u30b9\u30ca\u30ce\u30d5\u30a1\u30a4\u30d0\u30fc\u306e\u8abf\u88fd\u3001\u5206\u6563\u30fb\u8907\u5408\u5316\u3068\u88fd\u54c1\u5fdc\u7528<\/em>\u00a0377-389 (2015).<\/span><\/li>\n<\/ol>\n

                                                            2014<\/strong><\/h2>\n
                                                            \n
                                                              \n
                                                            1. Ito, K., Sakata, K., Date, Y. and Kikuchi, J.* \u201cIntegrated analysis of seaweed components in seasonal fluctuation by data mining across heterogeneous chemical measurements with network visualization\u201d Anal. Chem.<\/em> 86<\/strong>, 1098-1105 (2014). DOI<\/a><\/li>\n
                                                            2. Date, Y., Nakanishi, Y., Fukuda, S. Nuijima, Y., Kato, T., Umehara, M., Ohno, H., and Kikuchi, J.* \u201cIn vitro<\/em> evaluation method for screening of candidate prebiotic foods\u201d Food Chem.<\/em> 152<\/strong>, 251-260 (2014). DOI<\/a><\/li>\n
                                                            3. Yamazawa, A., Iikura, T., Morioka, Y., Shino, A., Ogata, Y., Date, Y. and Kikuchi, J.* \u201cCellulose digestion and metabolisms induced biocatalytic transitions in anaerobic microbial ecosystems\u201d Metabolites.<\/em> 4<\/strong>, 36-52 (2014). DOI<\/a><\/li>\n
                                                            4. Asakura, T., Date, Y. and Kikuchi, J.* \u201cComparative analysis of chemical and microbial profiles in estuarine sediments sampled from Kanto and Tohoku regions in Japan\u201d Anal. Chem<\/em>. 86<\/strong>, 5425-5432 (2014). DOI<\/a><\/li>\n
                                                            5. Tokuda, T., Tsuboi, Y., Kihara, K. Saito, S. Moriya, S. Lo, N. and Kikuchi, J.* \u201cMetabolomic profiling of 13<\/sup>C-cellulose digestion in a lower termite: insights into symbiont function\u201d Proc. Royal Soc. B.<\/em> 281<\/strong>, 20140990 (2014). DOI<\/a><\/li>\n
                                                            6. Kato, T., Fukuda, S., Fujiwara, A., Suda, W., Hattori, M., Kikuchi, J. and Ohno, H.* \u201cMultiple omics uncovers host-gut microbial mutualism during prebiotic fructooligosaccharide supplementation\u201d DNA Res.<\/em> 21<\/strong>, 469-480 (2014). DOI<\/a><\/li>\n
                                                            7. Watanabe, T., Shino, A., Akashi, K. and Kikuchi, J.* “Chemical profiling of Jatropha tissues under different torrefaction conditions: application to biomass waste recovery\u201d PLoS ONE<\/em> 9<\/strong>, e106893 (2014). DOI<\/a><\/li>\n
                                                            8. Asakura, T., Sakata, K., Yoshida, S., Date, Y. and Kikuchi, J.* \u201cNoninvasive analysis of metabolic changes following nutrient input into diverse fish species, as investigated by metabolic and microbial profiling approaches\u201d PeerJ. <\/em>2<\/strong>, e556 (2014). DOI<\/a><\/li>\n
                                                            9. Yoshida, S., Date, Y. and Kikuchi, J.* \u201cComparative metabolomic and ionomic approach for abundant fishes in estuarine environments of Japan\u201d Sci. Rep.<\/em> 4<\/strong>, 7005 (2014). DOI<\/a><\/li>\n
                                                            10. Ogawa, D., Moriya, S., Tsuboi, Y., Date, Y., Prieto, A., Bapista, G., Yamane, T. and Kikuchi, J.* \u201cBiogeochemical typing of paddy field by a data-driven approach revelling sub-systems within a complex environment \u2013A pipeline to filtrate, organize and frame massive dataset from multi- omics analyses\u201d PLoS ONE<\/em> 9<\/strong>, e110723 (2014). DOI<\/a><\/li>\n
                                                            11. Komatsu, T., Oishi, R., Shino, A. Akashi, K and Kikuchi, J.* \u201cMulti-spectroscopic analysis of seed quality and 13<\/sup>C-stable-isotopologue monitoring in initial growth metabolism of Jatropha curcas L. using stable-isotope labeling\u201d Metabolites<\/em> 4<\/strong>, 1018-1033 (2014). DOI<\/a><\/li>\n
                                                            12. Yang, Z., Nakabayashi, R., Okazaki, Y., Mori, T., Takamatsu, S., Torizuka, K., Kitanaka, S., Kikuchi, J., Saito, K.* \u201cToward better annotation in plant metabolomics: Isolation and structure elucidation of 36 specialized metabolites from Oryza sativa by using MS\/MS and NMR analyses\u201d Metabolomics<\/em> 10<\/strong>, 543-555 (2014). DOI<\/a><\/li>\n
                                                            13. Tsukagoshi, H., Nakamura, A., Ishida, T., Touhara, K. K., Otagiri, M., Moriya, S., Samejima, M., Igarashi, K., Fushinobu, S., Kitamoro, K., and Arioka, M. \u201cStructural and Biochemical Analyses of Glycoside Hydrolase Family 26 beta-Mannanase from a Symbiotic Protist of the Termite Reticulitermes speratus\u201d J. Biol. Chem.<\/em> 289<\/strong>, 10843-52 (2014). DOI<\/a><\/li>\n
                                                            14. Kudo T., Sakamoto K., Akinaga M., Kawauchi A., Nakahara T., Zhang X., Yamada A., Oshima K., Suda W., Kuwahara H., Nakamura N., Nogi Y., Kitamura K., Yuki M., Iida T., Moriya S., Inoue T., Hongoh Y., Hattori M., Ohkuma M. \u201cDraft Genome Sequences of Cyclodextrin-Producing Alkaliphilic Bacillus Strains JCM 19045, JCM 19046, and JCM 19047\u201d Genome Annoucements<\/em> 2<\/strong>, e00211-14 (2014). DOI<\/a><\/li>\n
                                                            15. Kudo T., Kidera A., Kida M., Kawauchi A., Shimizu R., Nakahara T., Zhang X., Yamada A., Amano M., Hamada Y., Taniyama S., Arakawa O., Yoshida A., Oshima K., Suda W., Kuwahara H., Nogi Y., Kitamura K., Yuki M., Iida T., Moriya S., Inoue T., Hongoh Y., Hattori M., Ohkuma M. \u201cDraft genome sequences of Psychrobacter strains JCM 18900,JCM 18901, JCM 18902, and JCM 18903, isolated preferentially from frozen aquatic organisms\u201d Genome Annoucements <\/em>2<\/strong>, e00280-14 (2014). DOI<\/a><\/li>\n
                                                            16. Tsukagoshi H, Nakamura A, Ishida T, Otagiri M, Moriya S, Samejima M, Igarashi K, Kitamoto K, Arioka M. \u201cThe GH26 \u03b2-mannanase RsMan26H from a symbiotic protist of the termite Reticulitermes speratus is an endo-processive mannobiohydrolase: heterologous expression and characterization\u201d Biochem Biophys Res Commun.<\/em> 452<\/strong>, 520-5 (2014). DOI<\/a><\/li>\n
                                                            17. \u83ca\u5730\u6df3\u3000\u201c\u5b89\u5b9a\u540c\u4f4d\u4f53\u6a19\u8b58\u306b\u3088\u308b\u751f\u4f53\u5206\u5b50\u6df7\u5408\u7269\u306a\u3089\u3073\u306b\u4ee3\u8b1d\u7d4c\u8def\u89e3\u6790\u201d\u3000\u751f\u7269\u5de5\u5b66\u4f1a\u8a8c\u3000<\/em>92<\/strong>, 100-109 (2014).<\/li>\n
                                                            18. \u83ca\u5730\u6df3\u3000\u201c\u98df\u3068\u4ee3\u8b1d\u306e\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u201d\u3000\u5b9f\u9a13\u533b\u5b66\u3000<\/em>32<\/strong>, 699-705 (2014).<\/li>\n
                                                            19. \u83ca\u5730\u6df3\u3000\u201c\u98df\u306e\u6765\u305f\u9053\u9084\u308b\u9053\u201d\u3000\u30d0\u30a4\u30aa\u30a4\u30f3\u30c0\u30b9\u30c8\u30ea\u30fc\u3000<\/em>(in press).<\/li>\n
                                                            20. \u5c0f\u677e\u529f\u5178\u3001\u83ca\u5730\u6df3\u3000\u201c\u8907\u96d1\u7cfb\u9ad8\u5206\u5b50\u7fa4\u306b\u6311\u3080\u30d0\u30a4\u30aa\u30de\u30b9NMR\u306e\u4e16\u754c\u201d\u3000\u7d30\u80de\u5de5\u5b66 <\/em>33<\/strong>, 843-849 (2014).<\/li>\n
                                                            21. \u4e09\u6fa4\u62d3\u771f\u3001\u4f0a\u85e4\u7814\u609f\u3001\u83ca\u5730\u6df3 \u201cNMR\u3067\u6311\u3080\u8907\u96d1\u7cfb\u306e\u5206\u5b50\u5b87\u5b99\u201d \u751f\u7269\u5de5\u5b66\u4f1a\u8a8c\u00a0 <\/em>92<\/strong>, 504-510 (2014).<\/li>\n
                                                            22. \u83ca\u5730\u6df3 \u201c\u5206\u5b50\u8907\u96d1\u7cfb\u201d NMR <\/em> 5<\/strong>, 75-82 (2014).<\/li>\n
                                                            23. \u83ca\u5730\u6df3 \u201cNMR\u306b\u304a\u3051\u308b\u30a4\u30ce\u30d9\u30fc\u30b7\u30e7\u30f3\u201d \u751f\u7269\u5de5\u5b66\u4f1a\u8a8c <\/em>92<\/strong>, 561 (2014).<\/span><\/li>\n<\/ol>\n

                                                              2013<\/strong><\/h2>\n
                                                              \n
                                                                \n
                                                              1. Furusawa, Y., Obata, Y., Fukuda, S.*, Endo, T., Nakato, G., Takahashi, D., Nakanishi, Y., Uetake, C., Kato, K., Kato, T., Takahashi, M., Fukuda, N., Murakami, S., Miyauchi, E., Hino, S., Atarashi, K., Onawa, S., Fujimura, Y., Lockett, T., Clarke, J. M., Topping, D. L., Tomita, M., Hori, S., Ohara, O., Morita, T., Koseki, H., Kikuchi, J., Honda, K., Hase, K.* and Ohno, H.* \u201cCommensal microbe-derived butyrate induces colonic regulatory T cells\u201d Nature<\/em> 504<\/strong>, 446-450 (2013). DOI<\/a><\/li>\n
                                                              2. Komatsu, T. and Kikuchi, J.* \u201cComprehensive signal assignment of 13<\/sup>C-labeled lignocellulose using multidimensional solution NMR and 13<\/sup>C chemical shift comparison with solid-state NMR\u201d Anal.Chem.<\/em> 85<\/strong>, 8857-8865 (2013). DOI<\/a><\/li>\n
                                                              3. Yamazawa, A., Date, Y., Ito, K. and Kikuchi, J.* \u201cVisualizing microbial dechlorination processes in underground ecosystem by statistical correlation and network analysis approach\u201d J. Biosci. Bioeng.<\/em> 117<\/strong>, 305-309 (2014). DOI<\/a><\/li>\n
                                                              4. Komatsu, T. and Kikuchi, J.* \u201cSelective signal detection in solid-state NMR using rotor synchronized dipolar dephasing for the analysis of hemicellulose in lignocellulosic biomass\u201d J. Phys. Chem.Lett. <\/em> 4<\/strong>, 2279-2283 (2013). DOI<\/a><\/li>\n
                                                              5. Ogura, T., Date, Y. and Kikuchi, J.* \u201cDifferences in Cellulosic Supramolecular Structure of Compositionally Similar Rice Straw Affect Biomass Metabolism by Paddy Soil Microbiota\u201d PLoS ONE<\/em> 8<\/strong>, e66919 (2013). DOI<\/a><\/li>\n
                                                              6. Yamazawa, A., Iikura, T., Shino, A., Date, Y. and Kikuchi, J.* \u201cSolid, solution and gas-state NMR monitoring of 13<\/sup>C-cellulose degradation in an anaerobic microbial ecosystem\u201d Molecules.<\/em> 18<\/strong>, 9021-9033 (2013). DOI<\/a><\/li>\n
                                                              7. Yamamura, M., Noda, S., Hattori, T., Shino, A., Kikuchi, J., Takabe, K., Tagane, S., Gau, M., Uwatoko, N., Mii, M., Suzuki, S., Shibata, D. and Umezawa, T.* \u201cCharacterization of lignocellulose of Erianthus arundinaceus<\/em> in relation to enzymatic saccharification efficiency\u201d Plant Biotechnol.<\/em> 30<\/strong>, 25-35 (2013). DOI<\/a><\/li>\n
                                                              8. Guichard P., Hachet V., Majubu N., Neves A., Demurtas D., Olieric N., Fluckiger I., Yamada A., Kihara K., Nishida Y., Moriya S., Steinmentz M.O., Hongoh Y., G\u00f6nczy P.* \u201cNative architecture of the centriole proximal region reveals novel features underlying their 9-fold radial symmetry\u201d Curr. Biol.<\/em> 23<\/strong>, 1620-1628 (2013). DOI<\/a><\/li>\n
                                                              9. Otagiri M, Lopez CM, Kitamoto K, Arioka M, Kudo T, Moriya S. \u201cHeterologous expression and characterization of a glycoside hydrolase family 45 endo-\u03b2-1,4-glucanase from a symbiotic protist of the lower termite, Reticulitermes speratus\u201d Appl Biochem Biotechnol.<\/em> 169<\/strong>, 1910-1918 (2013). DOI<\/a><\/li>\n
                                                              10. \u83ca\u5730\u6df3\u3000\u201c\u7cd6\u8cea\u306e\u5206\u6790\u3000\u6838\u78c1\u6c17\u5171\u9cf4\u6cd5\u201d\u3000\u690d\u7269\u7d30\u80de\u58c1\u3000\uff0d\u57fa\u790e\u3068\u5fdc\u7528\u2015<\/em>\u3000\u8b1b\u8ac7\u793e\u3000(2013).<\/span><\/li>\n<\/ol>\n

                                                                2012<\/strong><\/h2>\n
                                                                \n
                                                                  \n
                                                                1. Date, Y., Iikura, T., Yamazawa, A., Moriya, S. and Kikuchi, J.* \u201cMetabolic sequences of anaerobic fermentation on glucose-based feeding substrates based on correlation analyses of microbial and metabolite profiling\u201d J. Proteome Res. <\/em>11<\/strong>, 5602-5610 (2012). DOI<\/a><\/li>\n
                                                                2. Ogata, Y., Chikayama, E., Morioka, Y., Everroad, R.C., Shino, A., Matsushima, A., Haruna, H., Moriya, S., Toyoda, T., and Kikuchi, J.* \u201cECOMICS: A web-based toolkit for investigating the biomolecular web in ecosystems using a trans-omics approach\u201d PLoS ONE. <\/em>7<\/strong>, e30263 (2012). DOI<\/a><\/li>\n
                                                                3. Okushita, K., Chikayama, E. and Kikuchi, J.* \u201cSolubilization mechanism and characterization of the structural change of bacterial cellulose in regenerated states through ionic liquid treatment\u201d Biomacromolecules. <\/em>13<\/strong>, 1323-1330 (2012). DOI<\/a><\/li>\n
                                                                4. Mori, T. Chikayama, E., Tsuboi, Y., Ishida, N., Shisa, N., Moriya, S., and Kikuchi, J.* \u201cExploring conformational space of amorphous cellulose based on NMR chemical shifts\u201d Carbohydr. Polymers. <\/em>90<\/strong>, 1197-1203 (2012). DOI<\/a><\/li>\n
                                                                5. Date, Y., Sakata, K. and Kikuchi, J.* \u201cChemical profiling of complex biochemical mixtures from various seaweeds\u201d Polymer J. <\/em>44<\/strong>, 888-894 (2012). DOI<\/a><\/li>\n
                                                                6. Okushita, K., Komatsu, T., Chikayama, E. and Kikuchi, J.* \u201cStatistical approach for solid-state NMR spectra of a cellulose derived from a series of variable parameters\u201d Polymer J. <\/em>44<\/strong>, 895-900 (2012). DOI<\/a><\/li>\n
                                                                7. Tominaga, T., Sano, K., Kikuchi, J., Mitomo, H., Ijiro, K. and Osada, H. \u201cHydrophilic Double-Network Polymers that Sustain High Mechanical Modulus under 80% Humidity\u201d ACS Macro Lett. <\/em>1<\/strong>, 432-436 (2012). DOI<\/a><\/li>\n
                                                                8. Matsuda, F., Okazaki, Y., Oikawa, A., Kusano, M., Nakabayashi, R., Kikuchi, J., Yonemaru, J., Ebana, K., Yano, M. and Saito, K. \u201cDissection of genotype-phenotype associations in rice grains using metabolome quantitative trait loci analysis\u201d Plant J. <\/em>70<\/strong>, 624-636 (2012). DOI<\/a><\/li>\n
                                                                9. Everroad, C. R., Yoshida, S., Tsuboi, Y., Date, Y., Kikuchi, J.* and Moriya, S. \u201cConcentration of metabolites from low-density planktonic communities for environmental metabolomics using nuclear magnetic resonance spectroscopy\u201d J. Vis. Exp<\/em>. e3163 (2012). DOI<\/a><\/li>\n
                                                                10. Watanabe, T., Shino, A., Akashi, K. and Kikuchi, J.* \u201cSpectroscopic investigation of tissue-specific biomass profiling of Jatropha curcas. L\u201d Plant Biotechnol. <\/em>29<\/strong>, 163-170 (2012). DOI<\/a><\/li>\n
                                                                11. Sakurai, N., Ogata, Y., Ara, T., Sano, R., Akimoto, N., Suzuki, H., Kajikawa, M., Widyastuti, W., Suharsono, S., Yokota, A., Akashi, K., Kikuchi, J. and Shibata, T. “Development of KaPPA-View4 for omics studies on Jatropha and a database system KaPPA-Loader for construction of local omics databases” Plant Biotechnol.<\/em> 29<\/strong>, 131-135 (2012). DOI<\/a><\/li>\n
                                                                12. Vergara, F., Everroad, R. C., Andraca, G., Kikuchi, J. and Makihara, H. \u201cPlant host differences between Cossus redtenbacheri and Cossus insularis: insights from mechanical tests and molecular phylogeny\u201d Bull. Insect. <\/em>65<\/strong>, 217-222 (2012).<\/li>\n
                                                                13. \u83ca\u5730\u6df3 \u201c\u5fae\u751f\u7269\u306e\u3082\u3064\u57fa\u672c\u7684\u306a\u4ee3\u8b1d\u3092\u7406\u89e3\u3059\u308b\u201d\u3000\u5fae\u751f\u7269\u6a5f\u80fd\u5b66<\/em> \u2015\u5fae\u751f\u7269\u30ea\u30bd\u30fc\u30b9\u3068\u907a\u4f1d\u5b50\u30ea\u30bd\u30fc\u30b9\u306e\u5229\u7528<\/em>\u2015\u3000\u4e09\u5171\u51fa\u7248 (2012).<\/li>\n
                                                                14. \u95a2\u5c71\u606d\u4ee3\u3001\u8fd1\u5c71\u82f1\u8f14\u3001\u83ca\u5730\u6df3\u3000\u201cNMR\u8a08\u6e2c\u306b\u3088\u308a\u7269\u8cea\u8cc7\u6e90\u30fb\u60c5\u5831\u8cc7\u6e90\u3092\u62bd\u51fa\u3059\u308b\u201c\u3076\u3093\u305b\u304d<\/em>\u3000(2012).<\/li>\n
                                                                15. \u672c\u9593\u4fe1\u5b5d\u3001\u672b\u5b89\u8349\u3001\u77f3\u7530\u5ba3\u5f18\u3001\u6bdb\u5229\u8aa0\u3001\u83ca\u5730\u6df3\u3001\u576a\u4e95\u88d5\u7406\u3001\u5b88\u5c4b\u7e41\u6625\u3000\u201c\u30d0\u30a4\u30aa\u30de\u30b9\u539f\u6599\u304b\u3089\u30d5\u30a7\u30ce\u30fc\u30eb\u3092\u88fd\u9020\u3059\u308b\u65b9\u6cd5\u201d\u3000\u7279\u98582012-155007 \u5e73\u621024\u5e747\u670810\u65e5.<\/li>\n<\/ol>\n

                                                                  2011<\/strong><\/h2>\n
                                                                  \n
                                                                    \n
                                                                  1. Sekiyama, Y., Chikayama, E. and Kikuchi, J.* \u201cEvaluation of a semipolar solvent system as a step toward heteronuclear multidimensional NMR-based metabolomics for 13C-labeled bacteria, plants, and animals\u201d Anal. Chem. <\/em>83<\/strong>, 719-726 (2011). DOI<\/a><\/li>\n
                                                                  2. Fukuda, S., Toh, H., Hase, K., Nakanishi, Y., Oshima, K., Yoshimura, K., Tobe, T., Clarke, J. M., Topping, D. L., Suzuki, T., Taylor, T. D., Itoh, K., Kikuchi, J., Morita, H., Hattori, M.* and Ohno, H.* \u201cBifidobacteria can protect from enteropathogenic infection through production of acetate\u201d Nature.<\/em> 469<\/strong>, 543-547 (2011). DOI<\/a><\/li>\n
                                                                  3. Nakanishi, Y., Fukuda, S., Chikayama, E. Kimura, Y., Ohno, H. and Kikuchi, J.* \u201cDynamic omics approach identifies nutrition-mediated microbial interactions\u201d J. Proteome Res. <\/em>10<\/strong>, 824-831 (2011). DOI<\/a><\/li>\n
                                                                  4. Takase, T., Ishikawa, H., Murakami, H., Kikuchi, J., Sato-Nara, K.* and Suzuki, H. \u201cThe Circadian Clock Modulates Water Dynamics and Aquaporin Expression in Arabidopsis Roots\u201d Plant Cell Physiol. <\/em>52<\/strong>, 373-383 (2011). DOI<\/a><\/li>\n
                                                                  5. Kikuchi, J., Ogata, Y. and Shinozaki, K. \u201cECOMICS: ECosytem trans-OMICS tools and methods for complex environmental samples and datasets\u201d J. Ecosys. Ecogr<\/em>. S2 001 (2011). DOI<\/a><\/li>\n
                                                                  6. Sasagawa T, Matsui M, Kobayashi Y, Otagiri M, Moriya S, Sakamoto Y, Ito Y, Lee CC, Kitamoto K, Arioka M “High-throughput recombinant gene expression systems in Pichia pastoris using newly developed plasmid vectors\u201d Plasmid. <\/em>65<\/strong>, 65-69 (2011). DOI<\/a><\/li>\n
                                                                  7. Todaka N, Nakamura R, Moriya S, Ohkuma M, Kudo T, Takahashi H, Ishida N. \u201cScreening of optimal cellulases from symbiotic protists of termites through expression in the secretory pathway of Saccharomyces cerevisiae\u201d Biosci Biotechnol Biochem. <\/em>75<\/strong>, 2260-2263 (2011). DOI<\/a><\/li>\n
                                                                  8. \u83ca\u5730\u6df3\u3001\u846d\u7530\u5f81\u4e8c\u3001\u576a\u4e95\u88d5\u7406\u3001\u4f0a\u9054\u5eb7\u535a \u201c\u74b0\u5883\u5909\u52d5\u306e\u60c5\u5831\u3092\u751f\u7269\u306e\u4ee3\u8b1d\u30d7\u30ed\u30d5\u30a1\u30a4\u30ea\u30f3\u30b0\u304b\u3089\u6349\u3048\u308b\u8a66\u307f\u201c\u3000\u30b1\u30df\u30ab\u30eb\u30a8\u30f3\u30b8\u30cb\u30e4\u30ea\u30f3\u30b0<\/em>\u300056<\/strong>, 38-43 (2011).<\/li>\n
                                                                  9. \u7be0\u963f\u5f25\u5b87\u3001\u8fd1\u5c71\u82f1\u8f14\u3001\u83ca\u5730\u6df3 \u201c\u30ea\u30b0\u30ce\u30bb\u30eb\u30ed\u30fc\u30b9NMR\u89e3\u6790\u6280\u8853\u306e\u73fe\u72b6\u3068\u5c55\u671b\u201d\u3000\u30b1\u30df\u30ab\u30eb\u30a8\u30f3\u30b8\u30cb\u30e4\u30ea\u30f3\u30b0<\/em>\u300056<\/strong>, 32-37 (2011).<\/li>\n
                                                                  10. \u7279\u98582011-156812 \u68ee\u54f2\u54c9\u3001\u5fd7\u4f50\u502b\u5b50\u3001\u83ca\u5730\u6df3\u3001\u5b88\u5c4b\u7e41\u6625\u3001\u576a\u4e95\u88d5\u7406\u3001\u77f3\u7530\u4e98\u5e83\u3000\u201c\u30d0\u30a4\u30aa\u30de\u30b9\u7cd6\u5316\u7387\u4e88\u6e2c\u65b9\u6cd5\u201d 2011\u5e747\u670815\u65e5.<\/li>\n<\/ol>\n

                                                                    2010<\/strong><\/h2>\n
                                                                    \n
                                                                      \n
                                                                    1. Sekiyama, Y., Chikayama, E. and Kikuchi, J.* \u201cProfiling polar and semi-polar plant metabolites throughout extraction processes using a combined solution-state and HR-MAS NMR approach\u201d Anal. Chem. <\/em>82<\/strong>, 1643-1652 (2010). DOI<\/a><\/li>\n
                                                                    2. Chikayama, E., Sekiyama, E., Okamoto, M., Nakanishi, Y., Tsuboi, Y., Akiyama, K., Saito, K., Shinozaki, K. and Kikuchi, J.* \u201cStatistical indices for simultaneous large-scale metabolite detections for a single NMR spectrum\u201d Anal. Chem. <\/em>82<\/strong>, 1653-1658 (2010). DOI<\/a><\/li>\n
                                                                    3. Date, Y., Nakanishi, Y., Fukuda, S., Kato, T., Tsuneda, S., and Ohno, H. and Kikuchi, J.* \u201cNew monitoring approach for metabolic dynamics in microbial ecosystems using stable-isotope-labeling technologies\u201d J. Biosci. Bioeng. <\/em>110<\/strong>, 87-93 (2010). DOI<\/a><\/li>\n
                                                                    4. Serve, O., Kamiya, Y., Maeno, A., Nakano, M., Murakami, C., Sasakawa, H., Kamiya, Y., Yamaguchi, Y., Harada, T., Kurimoto, E., Iguchi, T., Inaba, K., Kikuchi, J., Asami, O., Kajino, T., Oka, T., Nakasako, M and Kato, K.* \u201cRedox-dependent domain arrangement of protein disulfide bond isomerase coupled with exposure of its substrate-binding hydrophobic surface\u201d J. Mol. Biol. <\/em>396<\/strong>, 361-374 (2010). DOI<\/a><\/li>\n
                                                                    5. Todaka N, Inoue T , Saita K , Ohkuma M, Nalepa CA, Lenz M, Kudo T, Moriya S* \u201cPhylogenetic Analysis of Cellulolytic Enzyme Genes from Representative Lineages of Termites and a Related Cockroach\u201d PLoS ONE<\/em> 5<\/strong>, e8636 (2010). DOI<\/a><\/li>\n
                                                                    6. Todaka N, Lopez CM, Inoue T, Saita K, Maruyama J, Arioka M, Kitamoto K, Kudo T, Moriya S.* \u201cHeterologous Expression and Characterization of an Endoglucanase from a Symbiotic Protist of the Lower Termite, Reticulitermes speratus\u201d Appl Biochem Biotechnol<\/em>. 160<\/strong>,1168-78 (2010). DOI<\/a><\/li>\n
                                                                    7. Chikayama E, Kurotani A, Tanaka T, Yabuki T, Miyazaki S, Yokoyama S, Kuroda Y.* “Mathematical model for empirically optimizing large scale production of soluble protein domains\u201d BMC Bioinformatics. <\/em>11<\/strong>, e113 (2010). DOI<\/a><\/li>\n
                                                                    8. \u83ca\u5730\u6df3\u3001\u5c3e\u5f62\u5584\u4e4b\u3000\u201c\u30d0\u30a4\u30aa\u30de\u30b9\u5229\u7528\u306e\u8a2d\u8a08\u56f3\u5165\u624b\u3092\u76ee\u6307\u3057\u305f\u7269\u8cea\u30fb\u60c5\u5831\u8cc7\u6e90\u306e\u63a2\u7d22\u201d\u3000\u672a\u5229\u7528\u30d0\u30a4\u30aa\u30de\u30b9\u306e\u6d3b\u7528\u6280\u8853\u3068\u74b0\u5883\u8ca0\u8377\u30fb\u4e8b\u696d\u6027\u8a55\u4fa1<\/em>\u3000\u30b5\u30a4\u30a8\u30f3\u30b9\uff06\u30c6\u30af\u30ce\u30ed\u30b8\u30fc\u3000105-114 (2010).<\/li>\n
                                                                    9. \u83ca\u5730\u6df3\u3001\u95a2\u5c71\u606d\u4ee3\u3001\u4f0a\u9054\u5eb7\u535a\u3000\u201c\u4ee3\u8b1d\u89e3\u6790\u306b\u304a\u3051\u308bNMR\u6280\u8853\u958b\u767a\u306e\u73fe\u72b6\u3068\u5c06\u6765\u5c55\u671b\u201d\u3000Radioisotopes <\/em>59<\/strong>, 637-658 (2010).<\/li>\n
                                                                    10. \u83ca\u5730\u6df3\u3001\u5b88\u5c4b\u7e41\u6625\u3001\u798f\u7530\u771f\u55e3\u3001\u5927\u91ce\u535a\u53f8\u3000\u201c\u5fae\u751f\u7269\u7fa4\u96c6\u306e\u7d71\u5408\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u201c\u3000\u96e3\u57f9\u990a\u5fae\u751f\u7269\u7814\u7a76\u306e\u6700\u65b0\u6280\u8853II<\/em>\u3000CMC\u51fa\u7248\u3000147-155 (2010).<\/li>\n
                                                                    11. \u83ca\u5730\u6df3\u3000\u201cNMR\u6cd5\u306b\u3088\u308b\u4ee3\u8b1d\u8868\u73fe\u578b\u89e3\u6790\u3000\uff0d\u305d\u306e\u73fe\u72b6\u3068\u5c55\u671b\u2015\u201c\u3000\u907a\u4f1d\u5b50\u533b\u5b66 <\/em>16<\/strong>, 81-85 (2010).<\/li>\n
                                                                    12. \u8fd1\u5c71\u82f1\u8f14\u3001\u8d64\u6728\u8b19\u4e00\u3001\u83ca\u5730\u6df3\u3000\u201cNMR\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u306e\u30bd\u30d5\u30c8\u30a6\u30a8\u30a2\u958b\u767a\u201c\u3000\u907a\u4f1d\u5b50\u533b\u5b66 <\/em>16<\/strong>, 126-130 (2010).<\/span><\/li>\n<\/ol>\n

                                                                      2009<\/strong><\/h2>\n
                                                                      \n
                                                                        \n
                                                                      1. Mochida, K.*, Furuta, T., Ebana, K., Shinozaki, K. and Kikuchi, J.* \u201cCorrelation exploration of metabolic and genomic diversities in rice\u201d BMC Genomics. <\/em>10<\/strong>, 563 (2009). DOI<\/a><\/li>\n
                                                                      2. Okamoto, M., Tsuboi, Y., Chikayama, E., Kikuchi, J. and Hirayama, T.* \u201cMetabolomic movement upon abscisic acid and salicylic acid combined treatments\u201d Plant Biotechnol<\/em>. 26<\/strong>, 551-560 (2009). DOI<\/a><\/li>\n
                                                                      3. Fukuda, S., Nakanishi, Y., Chikayama, E., Ohno, H., Hino, T. and Kikuchi, J.* \u201cEvaluation and characterization of bacterial metabolic dynamics by a novel profiling technique, real-time metabolotyping\u201d PLoS ONE <\/em>4, e4893 (2009). DOI<\/a><\/li>\n
                                                                      4. Ohyama, K., Suzuki, M., Kikuchi, J., Saito, K. and Muranaka, T.* \u201c Dual biosynthetic pathways to phytosterol via cycloartenol and lanosterol in Arabidopsis\u201d Proc. Natl. Acad. Sci. USA <\/em>106<\/strong>, 725-730 (2009). DOI<\/a><\/li>\n
                                                                      5. \u5409\u7530\u6b23\u53f2\u3001\u4e45\u539f\u3068\u307f\u5b50\u3001\u83ca\u5730\u6df3\u3000\u201c\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u3068\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u201c\u3000 \u3076\u3093\u305b\u304d <\/em>7<\/strong>, 371-378 (2009).<\/span><\/li>\n<\/ol>\n

                                                                        2008<\/strong><\/h2>\n
                                                                        \n
                                                                          \n
                                                                        1. Chikayama, E., Suto, M., Nishihara, T., Shinozaki, K. and Kikuchi, J.* \u201cSystematic NMR analysis of stable isotope labeled metabolite mixtures in plant and animal systems: Coarse grained views of metabolic pathways\u201d PLoS ONE <\/em>3<\/strong>, e3805 (2008). DOI<\/a><\/li>\n
                                                                        2. Akiyama, K., Chikayama, E., Yuasa, H., Shimada, Y., Tohge, T., Shinozaki, K., Hirai-Yokota, M., Sakurai, T*., Kikuchi, J.* and Saito, K. \u201cPRIMe: a web site that assembles tools for metabolomics and transcriptomics\u201d In Silico Biology <\/em>8<\/strong>, e27 (2008).<\/li>\n
                                                                        3. Morita, H., Toh, H., Fukuda, S., Horikawa, H., Ohshima, K., Suzuki, T., Murakami, M., Hisamatsu, S., Kato, Y., Takizawa, T., Fukuoka, H., Yoshimura, T., Ito, K., O\u2019Sullivan, D. J., McKay, L. L., Ohno, H., Kikuchi, J., Masaoka, T. and Hattori, M*. \u201dComparative genome analysis of Lactobacillus reuteri and Lactobacillus fermentum reveal a genomic island for reuterin and cobalamin production\u201d DNA Res. <\/em>15<\/strong>, 151-161 (2008). DOI<\/a><\/li>\n
                                                                        4. Yuki M, Moriya S, Inoue T, Kudo T.* \u201cTranscriptome analysis of the digestive organs of Hodotermopsis sjostedti, a lower termite that hosts mutualistic microorganisms in its hindgut\u201d Zoolog Sci. <\/em>25<\/strong>, 401-6 (2008). DOI<\/a><\/li>\n
                                                                        5. Sasaguri S, Maruyama J, Moriya S, Kudo T, Kitamoto K, Arioka M.* \u201cCodon optimization prevents premature polyadenylation of heterologously-expressed cellulases from termite-gut symbionts in Aspergillus oryzae\u201d J. Gener. Appl. Microb<\/em>. 54<\/strong>, 343-351 (2008). DOI<\/a><\/li>\n
                                                                        6. \u83ca\u5730\u6df3\u3000\u201c\u7d71\u5408\u30d0\u30a4\u30aa\u30ea\u30d5\u30a1\u30a4\u30ca\u30ea\u30fc\u3078\u306eNMR\u6280\u8853\u958b\u767a\u3000\uff0d\u77f3\u6cb9\u8cc7\u6e90\u304c\u751f\u7269\u8cc7\u6e90\u306b\u4ee3\u66ff\u3055\u308c\u308b\u6642\u4ee3\u3092\u898b\u636e\u3048\u3066\u30fc\u201d \u3000\u690d\u7269\u306e\u751f\u9577\u8abf\u7bc0<\/em>\u300043<\/strong>, 144-155 (2008).<\/li>\n
                                                                        7. \u83ca\u5730\u6df3\u3001\u4e2d\u897f\u88d5\u7f8e\u5b50 \u201c\u4ee3\u8b1d\u52d5\u614b\u306e\u8ffd\u8de1\u3000\uff0d\u5b89\u5b9a\u540c\u4f4d\u4f53\u5229\u7528\u306e\u65b0\u5c40\u9762\u201d\u3000\u30d0\u30a4\u30aa\u30b5\u30a4\u30a8\u30f3\u30b9\u3068\u30a4\u30f3\u30c0\u30b9\u30c8\u30ea\u30fc\u3001 <\/em>66<\/strong>, 143-144 (2008).<\/li>\n
                                                                        8. \u5b88\u5c4b\u7e41\u6625\u3001\u52a0\u85e4\u5b8c\u3001\u798f\u7530\u771f\u55e3\u3001\u5927\u91ce\u535a\u53f8\u3001\u83ca\u5730\u6df3\u3000 \u201c\u539f\u6838\u751f\u7269\u3001\u7279\u306b\u3001\u771f\u6027\u7d30\u83cc\u306ecDNA\u306e\u7c21\u6613\u306a\u8abf\u6574\u65b9\u6cd5\u201d \u7279\u98582008-52503.<\/li>\n<\/ol>\n

                                                                          2007<\/strong><\/h2>\n
                                                                          \n
                                                                            \n
                                                                          1. Sekiyama, Y and Kikuchi, J.* \u201cTowards dynamic metabolic network measurement by multi-dimensional NMR-based fluxomics\u201d Phytochemistry <\/em>68<\/strong>, 2320-2329 (2007). DOI<\/a><\/li>\n
                                                                          2. Tian C.J. Chikayama, E., Tsuboi, Y., Kuromori, T., Shinozaki, K., Kikuchi, J.* and Hirayama, T.* \u201cTop-down phenomics of Arabidopsis thaliana One and two-dimensional NMR metabolic profiling and transcriptome analysis of albino mutants\u201d J. Biol. Chem.<\/em> 282<\/strong>, 18532-18541 (2007). DOI<\/a><\/li>\n
                                                                          3. Kikuchi, J.* and Hirayama, T. \u201cPractical aspects of stable isotope labeling of higher plants for a hetero-nuclear multi-dimensional NMR-based metabolomics\u201d Method Mol. Biol. <\/em>358<\/strong>, 273-286 (2007). DOI<\/a><\/li>\n
                                                                          4. Sasaki, R., Sasaki, H., Fukuzawa, S.*, Kikuchi, J., Hirota, H. & Tachibana, K. \u201cThermal analyses of phospholipid mixtures by differential scanning calorimetry and effect of doping with a bolaform amphiphile\u201d Bull. Chem. Soc. Jpn. <\/em>80<\/strong>, 1208-1216 (2007). DOI<\/a><\/li>\n
                                                                          5. Moriya S, Noda S, Ohkuma M, Kudo T.* \u201cIn situ<\/em> hybridization of termite microbes\u201d Methods Mol Biol<\/em>. 2007 353<\/strong>,105-12 (2007). DOI<\/a><\/li>\n
                                                                          6. Todaka N, Moriya S, Saita K, Hondo T, Kiuchi I, Takasu H, Ohkuma M, Piero C, Hayashizaki Y, Kudo T.* \u201cEnvironmental cDNA analysis of the genes involved in lignocellulose digestion in the symbiotic protist community of Reticulitermes speratus\u201d FEMS Microbiol Ecol<\/em>. 59<\/strong>, 592-9 (2007). DOI<\/a><\/li>\n
                                                                          7. \u83ca\u5730\u6df3\u3000\u201c\u30e1\u30bf\u30dc\u30ce\u30df\u30af\u30b9\u3068NMR\u6280\u8853\u958b\u767a\u201d\u3000\u30e1\u30bf\u30dc\u30ed\u30df\u30af\u30b9\u306e\u89e3\u6790\u3068\u5fdc\u7528\u6280\u8853<\/em>\u3001CMC\u51fa\u7248\u300186-99 (2007)<\/li>\n
                                                                          8. \u83ca\u5730\u6df3\u3000\u68ee\u54f2\u54c9\u3001\u96ea\u771f\u5f18\u3001\u897f\u539f\u5d07\u3001\u4f50\u85e4\u4e00\u3001\u7532\u91ce\u88d5\u4e4b \u201c\u690d\u7269\u30d0\u30a4\u30aa\u30de\u30b9\u3078\u306e13C\u4ee3\u8b1d\u30fb\u5206\u89e3\u904e\u7a0b\u306e\u8ffd\u8de1\u3000\uff0d\u9ad8\u5206\u89e3\u80fd\u30de\u30b8\u30c3\u30af\u6838\u56de\u8ee2(hr-MAS)\u6cd5\u306b\u3088\u308b\u30a2\u30d7\u30ed\u30fc\u30c1\u201d\u3000\u30d6\u30ec\u30a4\u30f3\u30c6\u30af\u30ce\u30cb\u30e5\u30fc\u30b9\u3001<\/em>124<\/strong>, 16-21 (2007)<\/li>\n
                                                                          9. \u677e\u7530\u53f2\u751f\u3001\u8349\u91ce\u90fd\u3001\u53ca\u5ddd\u5f70\u3001\u83ca\u5730\u6df3\u3000\u6589\u85e4\u548c\u5b63 \u201c\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u6280\u8853\u306e\u73fe\u72b6\u3068\u5c55\u671b\u3000\u7b2c\uff11\u56de\u3000\u8a66\u6599\u8abf\u6574\u3068\u8a08\u6e2c\u6280\u8853\u201c\u3000 \u5316\u5b66\u3068\u751f\u7269\u3001<\/em>45<\/strong>, 754-760 (2007).<\/li>\n
                                                                          10. \u677e\u7530\u53f2\u751f\u3001\u8349\u91ce\u90fd\u3001\u53ca\u5ddd\u5f70\u3001\u83ca\u5730\u6df3\u3000\u6589\u85e4\u548c\u5b63 \u201c\u30e1\u30bf\u30dc\u30ed\u30fc\u30e0\u89e3\u6790\u6280\u8853\u306e\u73fe\u72b6\u3068\u5c55\u671b\u3000\u7b2c\uff12\u56de\u3000\u30c7\u30fc\u30bf\u89e3\u6790\u6280\u8853\u201c\u3000 \u5316\u5b66\u3068\u751f\u7269\u3001<\/em>45<\/strong>, 834-842 (2007).<\/li>\n
                                                                          11. \u83ca\u5730\u6df3\u3001\u96ea\u771f\u5f18\u3001\u5b88\u5c4b\u7e41\u6625\u3001\u5de5\u85e4\u4fca\u7ae0\u3000 \u201c\u86cb\u767d\u8cea\u306e\u63a2\u7d22\u65b9\u6cd5\u201d\u3000\u7279\u98582007-232792.<\/li>\n<\/ol>","protected":false},"excerpt":{"rendered":"

                                                                             \u7814\u7a76\u5b9f\u7e3e 2026 Ni, X., Amamot Continue Reading →<\/a> Continue Reading →<\/a><\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":2,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-28","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/pages\/28","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/comments?post=28"}],"version-history":[{"count":449,"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/pages\/28\/revisions"}],"predecessor-version":[{"id":2621,"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/pages\/28\/revisions\/2621"}],"wp:attachment":[{"href":"https:\/\/www-user.yokohama-cu.ac.jp\/~efal\/homepage\/wp-json\/wp\/v2\/media?parent=28"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}