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Transcriptomic analysis of skeletal muscle regeneration across mouse lifespan identifies altered stem cell states.

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Title: Transcriptomic analysis of skeletal muscle regeneration across mouse lifespan identifies altered stem cell states.
Authors: Walter LD; Genetics, Genomics and Development Graduate Program, Cornell University, Ithaca, NY, USA., Orton JL; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA., Ntekas I; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA., Fong EHH; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA., Maymi VI; Department of Microbiology & Immunology, Cornell University, Ithaca, NY, USA., Rudd BD; Genetics, Genomics and Development Graduate Program, Cornell University, Ithaca, NY, USA.; Department of Microbiology & Immunology, Cornell University, Ithaca, NY, USA., De Vlaminck I; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA., Elisseeff JH; Translational Tissue Engineering Center, Wilmer Eye Institute, and Department of Biomedical Engineering, Johns Hopkins University School of Medicine, Baltimore, MD, USA., Cosgrove BD; Genetics, Genomics and Development Graduate Program, Cornell University, Ithaca, NY, USA. bdc68@cornell.edu.; Meinig School of Biomedical Engineering, Cornell University, Ithaca, NY, USA. bdc68@cornell.edu.
Source: Nature aging [Nat Aging] 2024 Dec; Vol. 4 (12), pp. 1862-1881. Date of Electronic Publication: 2024 Nov 22.
Publication Type: Journal Article
Journal Info: Publisher: Nature Publishing Group US Country of Publication: United States NLM ID: 101773306 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2662-8465 (Electronic) Linking ISSN: 26628465 NLM ISO Abbreviation: Nat Aging Subsets: MEDLINE
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              Text: 2024 Dec
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