Accession PRJCA014979
Title Human skeletal muscle ageing atlas
Relevance Medical
Data types Single cell sequencing
Organisms Homo sapiens
Description 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.
Sample scope Single cell
Release date 2024-05-31
Publication
PubMed ID Article title Journal name DOI Year
10.1101/2022.05.24.493094
38622407 Human skeletal muscle aging atlas Nature Aging 10.1038/s43587-024-00613-3 2024
Grants
Agency program Grant ID Grant title
Ministry of Science and Technology of the People's Republic of China (MOST) National Key Technologies R&D Program 2019YFA0801703
National Natural Science Foundation of China (NSFC) General Program 31871370
National Natural Science Foundation of China (NSFC) General Program 32000840
Advanced Medical Technology Center of Sun Yat-sen University K0507007
Submitter Hongbo Zhang (zhanghongbo@mail.sysu.edu.cn)
Organization Sun Yat-sen University
Submission date 2023-02-15

Project Data

Resource name Description