This paper develops a network-based atlas of human skeletal muscle aging using transcriptomic data from 1,675 biopsies and multiple single-cell technologies, revealing gene modules and interactions associated with aging and load status.

medRxiv · Feb 17, 2026 · PreprintGenetic & Genomic Medicine

Sex and insulin resistance biomarker modelling in a new large-scale Alzheimer's disease transcriptomic resource

Nasim Mohamed Ismail, Maggie A. Miller, Hannah Crossland, Bethan E Phillips, Jalil-Ahmad Sharif, Christina Kosanovic, Tianjie Gu, Robert J Brogan, Claes Wahlestedt, Philip J Atherton, J. Paul Chapple, William E Kraus, Kirill Shkura, Anthony J Griswold, Claude‐Henry Volmar, , James A. Timmons

The paper develops a large-scale blood transcriptomic resource for Alzheimer's disease, identifies sex-specific differences, and models insulin resistance biomarkers using machine learning.

medRxiv · Oct 2, 2025 · PreprintGenetic & Genomic Medicine

Network-based modelling reveals cell-type enriched patterns of non-coding RNA regulation during human skeletal muscle remodelling

Jonathan C. Mcleod, Changhyun Lim, Tanner Stokes, Jalil-Ahmad Sharif, Vagif Zeynalli, Lucas Wiens, Alysha C. D’Souza, Lauren M. Colenso‐Semple, James McKendry, Robert W. Morton, Cameron J. Mitchell, Sara Y. Oikawa, Claes Wahlestedt, J. Paul Chapple, Chris McGlory, , Stuart M. Phillips

The paper identifies ncRNA genes regulated during skeletal muscle hypertrophy in 144 individuals using transcriptomic analysis and network modelling.

NAR Molecular Medicine · Oct 1, 2024Peer-reviewedBioinformatics