{"title":"Mapping aged stem cell states associated with decline in skeletal muscle regeneration","authors":"","doi":"10.1038/s43587-024-00768-z","DOIUrl":null,"url":null,"abstract":"We used single-cell and high-resolution spatial transcriptomics to investigate age-related decline in mouse skeletal muscle regeneration. Using a transfer learning-based scoring approach, we identified a population of senescent-like muscle stem cells that increases with age and is induced by muscle injury. This highlights that halted stem cell self-renewal underlies the muscle regenerative dysfunction in mouse aging.","PeriodicalId":94150,"journal":{"name":"Nature aging","volume":"4 12","pages":"1680-1681"},"PeriodicalIF":17.0000,"publicationDate":"2024-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature aging","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43587-024-00768-z","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
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Abstract
We used single-cell and high-resolution spatial transcriptomics to investigate age-related decline in mouse skeletal muscle regeneration. Using a transfer learning-based scoring approach, we identified a population of senescent-like muscle stem cells that increases with age and is induced by muscle injury. This highlights that halted stem cell self-renewal underlies the muscle regenerative dysfunction in mouse aging.
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