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Series GSE214544 Query DataSets for GSE214544
Status Public on Oct 03, 2022
Title Single-cell sequencing deconvolutes cellular responses to exercise in human skeletal muscle
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Regular physical activity is a key concept associated with a variety of health-related outcomes and successful ageing. While many of the beneficial effects of physical activity are undisputed, much of the adaptive mechanisms that lead to these benefits are not yet known. The skeletal muscle is a key contributor to physical performance and is also the target organ for many of the adaptive processes associated with exercise. Skeletal muscle is highly plastic, and changes in physical activity lead to a plethora of adaptive processes that, when repeated over time, result in structural and functional adaptations. Here we use single cell sequencing in humans to outline the effects of physical activity on cellular composition and cell type-specific processes in skeletal muscle. We show that myogenic cells in human skeletal muscle can be divided into three groups characterized by different degrees of cell maturation, and that exercise stimulates subpopulation of undifferentiated stem/progenitor myogenic cells to mature toward slow- or fast-twitch fibers. The cell type-specific adaptive mechanisms induced by exercise presented here contribute to the understanding of the skeletal muscle adaptations triggered by physical activity and may ultimately have implications for physiological and pathological processes affecting skeletal muscle, such as sarcopenia, cachexia, and glucose homeostasis.
 
Overall design The mononuclear cells were isolated from skeletal muscle before and after exercise from three healthy individuals and subjected to single-cell sequencing.
 
Contributor(s) Lovrić A, Rassolie A, Alam  S, Mandić M, Saini A, Altun M, Fernandez-Gonzalo R, Gustafsson T, Rullman E
Citation(s) 36273106
Submission date Sep 30, 2022
Last update date Nov 02, 2022
Contact name Eric Rullman
E-mail(s) eric.rullman@gmail.com
Phone +46858586777
Organization name Karolinska Institutet
Department Laboratory Medicine
Lab Clinical Physiology
Street address C1:82 Karolinska University Hospital, Huddinge
City Stockholm
ZIP/Postal code 14186
Country Sweden
 
Platforms (1)
GPL30173 NextSeq 2000 (Homo sapiens)
Samples (8)
GSM6611295 Skeletal muscle Sample 1 pre exercise
GSM6611296 Skeletal muscle Sample 1 post exercise
GSM6611297 Skeletal muscle Sample 2 pre exercise
Relations
BioProject PRJNA885836

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Supplementary file Size Download File type/resource
GSE214544_RAW.tar 404.1 Mb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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