Multimodal cell atlas of the ageing human skeletal muscle.
Yiwei LaiIgnacio Ramírez-PardoJoan IsernJuan AnEusebio PerdigueroAntonio L SerranoJinxiu LiEsther Garcia-DominguezJessica SegalésPengcheng GuoVera LukesovaEva AndrésJing ZuoYue YuanChuanyu LiuJosé ViñaJulio Domenech-FernandezMarie-Carmen Gomez-CabreraYancheng SongLongqi LiuXue LiuPura Muñoz-CánovesMiguel Angel EstebanPublished in: Nature (2024)
Muscle atrophy and functional decline (sarcopenia) are common manifestations of frailty and are critical contributors to morbidity and mortality in older people 1 . Deciphering the molecular mechanisms underlying sarcopenia has major implications for understanding human ageing 2 . Yet, progress has been slow, partly due to the difficulties of characterizing skeletal muscle niche heterogeneity (whereby myofibres are the most abundant) and obtaining well-characterized human samples 3,4 . Here we generate a single-cell/single-nucleus transcriptomic and chromatin accessibility map of human limb skeletal muscles encompassing over 387,000 cells/nuclei from individuals aged 15 to 99 years with distinct fitness and frailty levels. We describe how cell populations change during ageing, including the emergence of new populations in older people, and the cell-specific and multicellular network features (at the transcriptomic and epigenetic levels) associated with these changes. On the basis of cross-comparison with genetic data, we also identify key elements of chromatin architecture that mark susceptibility to sarcopenia. Our study provides a basis for identifying targets in the skeletal muscle that are amenable to medical, pharmacological and lifestyle interventions in late life.
Keyphrases
- single cell
- skeletal muscle
- endothelial cells
- rna seq
- insulin resistance
- induced pluripotent stem cells
- gene expression
- physical activity
- high throughput
- dna damage
- pluripotent stem cells
- healthcare
- stem cells
- machine learning
- genome wide
- cardiovascular disease
- transcription factor
- community dwelling
- dna methylation
- metabolic syndrome
- cell therapy
- weight loss
- type diabetes
- cell proliferation
- signaling pathway
- oxidative stress
- big data
- high density
- cell cycle arrest
- body composition
- pi k akt