转录组
阻力训练
骨骼肌
有氧运动
运动生理学
计算生物学
生物
生物信息学
生理学
数据科学
计算机科学
内分泌学
生物化学
基因
基因表达
作者
Michael J. Stec,Zachary Graham,Qi Su,Christina Adler,Min Ni,Valerie Le Rouzic,David R. Golann,Patrick J. Ferrara,Gábor Halász,Mark W. Sleeman,Kaleen M. Lavin,Timothy J. Broderick,Marcas M. Bamman
出处
期刊:iScience
[Elsevier]
日期:2025-08-06
卷期号:28 (9): 113301-113301
被引量:2
标识
DOI:10.1016/j.isci.2025.113301
摘要
Chronic exercise training substantially improves skeletal muscle function and performance. The repeated demands and stressors of each exercise bout drive coordinated molecular adaptations within multiple cell types, leading to enhanced neuromuscular recruitment and contractile function, stem cell activation, myofiber hypertrophy, mitochondrial biogenesis, and angiogenesis, among others. To comprehensively profile molecular changes induced by combined resistance and endurance exercise training, we employed spatial transcriptomics coupled with immunofluorescence and computational approaches to resolve effects on myofiber and mononuclear cell populations in human muscle. By computationally identifying fast and slow myofibers, we identified fiber type-specific, exercise-induced gene expression changes that correlated with muscle functional improvements. Additionally, integration of human muscle single cell RNAseq data identified an exercise-induced shift in interstitial cell populations coincident with angiogenesis. Overall, these data provide a unique spatial molecular profiling resource for exploring muscle adaptations to exercise, and provide a pipeline and rationale for future studies in human muscle.
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