2023-04-19

The cover of the journal Genome Research highlights a YCU paper on tandem repeats that regulate gene splicing!

A research group led by Assistant Professor Kohei Hamanaka and Professor Naomichi Matsumoto of the Department of Human Genetics in the Graduate School of Medicine has succeeded in genome-wide identification of tandem repeats that regulate gene splicing,
2023-04-11

Prediction models for neutralization activity against emerging SARS-CoV-2 variants: A cross-sectional study

Objective: Despite extensive vaccination campaigns to combat the coronavirus disease (COVID-19) pandemic, variants of concern, particularly the Omicron variant (B.1.1.529 or BA.1), may escape the antibodies elicited by vaccination against SARS-CoV-2. Therefore, this study aimed to evaluate 50% neutralizing activity (NT50) against SARS-CoV-2 D614G, Delta, Omicron BA.1, and Omicron BA.2 and to develop prediction models to predict the risk of infection in a general population in Japan.
2023-04-01

Meta-Care City* Co-creation Base to Eliminate the Difficulty of Young People’s Living and Realize High Wellbeing

The research group, in which multiple universities, companies, and municipalities collaborate as project leaders, with Tomoyuki Miyazaki, Professor, Center for Promotion of Research and Industry-Academic Collaboration / School of Medicine was adopted by the National Institute for Research and Development Science and Technology Promotion (JST) in a full-scale in the field of the program on Open Innovation Platforms for Industry-academia Co-creation(COI-NEXT) in fiscal 2022.
2023-03-15

Multiancestry genomic and transcriptomic analysis of gastric cancer

Gastric cancer is among the most common malignancies worldwide, characterized by geographical, epidemiological and histological heterogeneity. Here, we report an extensive, multiancestral landscape of driver events in gastric cancer, involving 1,335 cases. Seventy-seven significantly mutated genes (SMGs) were identified, including ARHGAP5 and TRIM49C. We also identified subtype-specific drivers, including PIGR and SOX9, which were enriched in the diffuse subtype of the disease. SMGs also varied according to Epstein–Barr virus infection status and ancestry.