Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration

David McKellar et al. integrate single-cell and -nuclear transcriptomic analyses of mouse skeletal muscle in homeostatic conditions or following injury. The resulting transcriptomic model of myogenesis identified rare, transitional states and cell subtypes that are poorly represented in individual d...

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Autores principales:	David W. McKellar, Lauren D. Walter, Leo T. Song, Madhav Mantri, Michael F. Z. Wang, Iwijn De Vlaminck, Benjamin D. Cosgrove
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Biology (General) QH301-705.5
Acceso en línea:	https://doaj.org/article/c4f3d62d830e41acb90880a9b21a949c
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spelling	oai:doaj.org-article:c4f3d62d830e41acb90880a9b21a949c2021-11-14T12:12:18ZLarge-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration10.1038/s42003-021-02810-x2399-3642https://doaj.org/article/c4f3d62d830e41acb90880a9b21a949c2021-11-01T00:00:00Zhttps://doi.org/10.1038/s42003-021-02810-xhttps://doaj.org/toc/2399-3642David McKellar et al. integrate single-cell and -nuclear transcriptomic analyses of mouse skeletal muscle in homeostatic conditions or following injury. The resulting transcriptomic model of myogenesis identified rare, transitional states and cell subtypes that are poorly represented in individual datasets, providing a valuable resource for the field.David W. McKellarLauren D. WalterLeo T. SongMadhav MantriMichael F. Z. WangIwijn De VlaminckBenjamin D. CosgroveNature PortfolioarticleBiology (General)QH301-705.5ENCommunications Biology, Vol 4, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Biology (General) QH301-705.5
spellingShingle	Biology (General) QH301-705.5 David W. McKellar Lauren D. Walter Leo T. Song Madhav Mantri Michael F. Z. Wang Iwijn De Vlaminck Benjamin D. Cosgrove Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
description	David McKellar et al. integrate single-cell and -nuclear transcriptomic analyses of mouse skeletal muscle in homeostatic conditions or following injury. The resulting transcriptomic model of myogenesis identified rare, transitional states and cell subtypes that are poorly represented in individual datasets, providing a valuable resource for the field.
format	article
author	David W. McKellar Lauren D. Walter Leo T. Song Madhav Mantri Michael F. Z. Wang Iwijn De Vlaminck Benjamin D. Cosgrove
author_facet	David W. McKellar Lauren D. Walter Leo T. Song Madhav Mantri Michael F. Z. Wang Iwijn De Vlaminck Benjamin D. Cosgrove
author_sort	David W. McKellar
title	Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
title_short	Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
title_full	Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
title_fullStr	Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
title_full_unstemmed	Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
title_sort	large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/c4f3d62d830e41acb90880a9b21a949c
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Large-scale integration of single-cell transcriptomic data captures transitional progenitor states in mouse skeletal muscle regeneration

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