bioRxivGenomicsPreprint
Human skeletal muscle ageing atlas
Veronika R. KedlianiD, Yaning WangiD, Tianliang LiuiD, Xiaoping CheniD, Liam BoltiD, Zhuojian SheniD, Eirini Sofia FasouliiD, Elena PrigmoreiD, Vitalii KleshchevnikoviD, Tong LiiD, John E. G. LawrenceiD, Ni HuangiD, Qin GuoiD, Lu YangiD, Krzysztof PolańskiiD, Monika H. Dabrowska, Catherine L. TudoriD, Xiaobo LiiD, Omer Ali BayraktariD, Minal J Patel, Kerstin B. MeyeriD, Natsuhiko KumasakaiD, Krishnaa T. A. MahbubaniiD, Andy Peng XiangiD, Kourosh Saeb‐ParsyiD, , Hongbo ZhangiD
Abstract
Skeletal muscle ageing increases the incidence of age-associated frailty and sarcopenia in the elderly worldwide, leading to increased morbidity and mortality. However, our understanding of the cellular and molecular mechanisms of muscle ageing is still far from complete. Here, we generate a single-cell and single-nucleus transcriptomic atlas of skeletal muscle ageing from 15 donors across the adult human lifespan, accompanied by myofiber typing using imaging. Our atlas reveals ageing mechanisms acting across different compartments of the muscle, including muscle stem cells (MuSCs), myofibers and the muscle microenvironment. Firstly, we uncover two mechanisms driving MuSC ageing, namely a decrease in ribosome biogenesis and an increase in inflammation. Secondly, we identify a set of nuclei populations explaining the preferential degeneration of the fast-twitch myofibers and suggest two mechanisms acting to compensate for their loss. Importantly, we identify a neuromuscular junction accessory population, which helps myofiber to compensate for aged-related denervation. Thirdly, we reveal multiple microenvironment cell types contributing to the inflammatory milieu of ageing muscle by producing cytokines and chemokines to attract immune cells. Finally, we provide a comparable mouse muscle ageing atlas and further investigate conserved and specific ageing hallmarks across species. In summary, we present a comprehensive human skeletal muscle ageing resource by combining different data modalities, which significantly expands our understanding of muscle biology and ageing.
- organism: human
- assay: scRNA-seq
- assay: imaging
- research focus: cell type annotation
- research focus: clustering
- research focus: differential expression
- approach: statistical model
- Citations
- 8
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A network-based atlas of human skeletal muscle aging
Tanner Stokes, Changhyun Lim, … James A. Timmons·medRxiv·Feb 17, 2026
- Single-cell transcriptomic analysis of skeletal muscle regeneration across mouse lifespan identifies altered stem cell states associated with senescence
Lauren D. Walter, Jessica L. Orton, … Benjamin D. Cosgrove·bioRxiv·May 25, 2023
- Myonuclear loss, rather than senescent myonuclei, associates with fiber type-specific atrophy in aging human skeletal muscle
Carlos S. Zepeda, Isabell Dobrzycki, … Christopher W. Sundberg·bioRxiv·Feb 13, 2026
- The immune landscape of murine skeletal muscle regeneration and aging
N. S. Sousa, M. Bica, … J. Neves·bioRxiv·Nov 7, 2023
- Multiomics mapping and characterization of cellular senescence in aging human skeletal muscle uncovers a novel senotherapeutic for sarcopenia
Yang Li, Chuhan Li, … Huating Wang·Nature CommunicationsPeer-reviewed·Jul 5, 2025
- Fusion of dysfunction muscle stem cells with myofibers induces sarcopenia in mice.