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

Authors :
David W. McKellar
Lauren D. Walter
Leo T. Song
Madhav Mantri
Michael F. Z. Wang
Iwijn De Vlaminck
Benjamin D. Cosgrove
Source :
Communications Biology, Vol 4, Iss 1, Pp 1-12 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

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.

Subjects

Subjects :
Biology (General)
QH301-705.5

Details

Language :
English
ISSN :
23993642
Volume :
4
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Communications Biology
Publication Type :
Academic Journal
Accession number :
edsdoj.4f3d62d830e41acb90880a9b21a949c
Document Type :
article
Full Text :
https://doi.org/10.1038/s42003-021-02810-x