2026.10.13 昭和医科大学 プレスリリース 金澤伸洋助教(医学部内科学講座腎臓内科学部門)らを中心とする研究グループは、MRSA(メチシリン耐性黄色ブドウ球菌)...

At the University of Arizona (U of A) College of Medicine – Phoenix, a translational neuroscience lab of eight researchers is pursuing a mission to find and repurpose existing drugs as potential treatments for rare pediatric disorders. Working with Amazon Web Services (AWS), the team connected four AWS services into an integrated research pipeline, using generative artificial intelligence (AI) and specialized foundation models to turn raw sequencing data into insights that help identify promising drug candidates. In this post, learn how the lab is using generative AI to expand its research capacity with its current members to pursue scientific breakthroughs for a patient population that is often overlooked.

Nature Microbiology, Published online: 12 October 2026; doi:10.1038/s41564-026-02507-zThe root microbiota remains an untapped resource for sustainable agriculture — resolving its recruitment cues is a research priority for moving towards translational applications. Family-conserved functional repertoires emerge as building blocks of the root microbiota in distinct plants, opening new avenues for the rational manipulation of biological interactions at the root–soil continuum.

This translational science review examines antigen-based cancer vaccines, which help patients develop immunity to the cellular protein expressed by cancer by stimulating the adaptive immune system.

Liang et al. identify phytanoyl-CoA dioxygenase domain containing 1 (PHYHD1) as a tumor suppressor that regulates protein production in kidney cancer. Loss of PHYHD1 promotes disease progression by increasing ceramide transporter 1 (CERT1) production, uncovering a regulatory pathway that may help predict patient outcomes and provide a therapeutic opportunity for PHYHD1-deficient tumors.

Nature Reviews Genetics, Published online: 05 October 2026; doi:10.1038/s41576-026-01015-4Epithelial–mesenchymal transition (EMT) is a dynamic cell-state transition that underpins embryonic development, tissue repair and ageing and is frequently co-opted in disease. In this Review, Narwade and Nieto discuss how single-cell, spatial and integrative multi-omics approaches, together with computational frameworks, are revealing EMT heterogeneity, trajectories, mechanisms and translational opportunities.