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Methods in Molecular Biology
Other literature type . Part of book or chapter of book . 2019 . Peer-reviewed
License: Springer TDM
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Simultaneous Isolation of Stem and Niche Cells of Skeletal Muscle: Applicability for Aging Studies

Authors: Eusebio Perdiguero; Victoria Moiseeva; Pura Muñoz-Cánoves;

Simultaneous Isolation of Stem and Niche Cells of Skeletal Muscle: Applicability for Aging Studies

Abstract

The maintenance of adult stem cells in their normal quiescent state depends on intrinsic factors and extrinsic signals originating from their microenvironment (also known as the stem cell niche). In skeletal muscle, its stem cells (satellite cells) lose their regenerative potential with aging, and this has been attributed, at least in part, to both age-associated changes in the satellite cells as in the niche cells, which include resident fibro-adipogenic progenitors (FAPs), macrophages, and endothelial cells, among others. To understand the regenerative decline of skeletal muscle with aging, there is a need for methods to specifically isolate stem and niche cells from resting muscle. Here we describe a fluorescence-activated cell sorting (FACS) protocol to simultaneously isolate discrete populations of satellite cells and niche cells from skeletal muscle of aging mice.

Subjects by Vocabulary

Microsoft Academic Graph classification: biology medicine.diagnostic_test Niche Skeletal muscle Cell sorting biology.organism_classification Flow cytometry Cell biology medicine.anatomical_structure medicine Satellite (biology) Stem cell Progenitor cell Adult stem cell

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citations
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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