High-resolution myogenic lineage mapping by single-cell mass cytometry

被引：0
作者：
Ermelinda Porpiglia
Nikolay Samusik
Andrew Tri Van Ho
Benjamin D. Cosgrove
Thach Mai
Kara L. Davis
Astraea Jager
Garry P. Nolan
Sean C. Bendall
Wendy J. Fantl
Helen M. Blau
机构：
[1] Blau Laboratory,Stanford Comprehensive Cancer Institute and Department of Obstetrics and Gynecology
[2] Stanford University School of Medicine,undefined
[3] Baxter Laboratory for Stem Cell Biology,undefined
[4] Stanford University School of Medicine,undefined
[5] Institute for Stem Cell Biology and Regenerative Medicine,undefined
[6] Stanford University School of Medicine,undefined
[7] Nolan Laboratory,undefined
[8] Stanford University School of Medicine,undefined
[9] Stanford University School of Medicine,undefined
[10] Present addresses: Meinig School of Biomedical Engineering,undefined
[11] Cornell University,undefined
[12] Ithaca,undefined
[13] New York 14853,undefined
[14] USA (B.D.C.); Bass Center for Childhood Cancer and Blood Disorders,undefined
[15] Lucile Packard Children’s Hospital,undefined
[16] Stanford University School of Medicine,undefined
[17] Stanford,undefined
[18] California 94305,undefined
[19] USA (K.L.D.); Department of Pathology,undefined
[20] Stanford University,undefined
[21] Stanford,undefined
[22] California 94305,undefined
[23] USA (S.C.B.).,undefined
来源：
Nature Cell Biology | 2017年 / 19卷
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摘要：
Muscle regeneration is a dynamic process during which cell state and identity change over time. A major roadblock has been a lack of tools to resolve a myogenic progression in vivo. Here we capitalize on a transformative technology, single-cell mass cytometry (CyTOF), to identify in vivo skeletal muscle stem cell and previously unrecognized progenitor populations that precede differentiation. We discovered two cell surface markers, CD9 and CD104, whose combined expression enabled in vivo identification and prospective isolation of stem and progenitor cells. Data analysis using the X-shift algorithm paired with single-cell force-directed layout visualization defined a molecular signature of the activated stem cell state (CD44+/CD98+/MyoD+) and delineated a myogenic trajectory during recovery from acute muscle injury. Our studies uncover the dynamics of skeletal muscle regeneration in vivo and pave the way for the elucidation of the regulatory networks that underlie cell-state transitions in muscle diseases and ageing.
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页码：558 / 567
页数：9
相关论文
共 116 条
[1]  
Chang NC(2014)Satellite cells: the architects of skeletal muscle Curr. Top. Dev. Biol. 107 161-181
[2]  
Rudnicki MA(2015)The central role of muscle stem cells in regenerative failure with aging Nat. Med. 21 854-862
[3]  
Blau HM(2000)Translating stem and progenitor cell biology to the clinic: barriers and opportunities Science 287 1442-1446
[4]  
Cosgrove BD(2011)Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum Science 332 687-696
[5]  
Ho ATV(2014)Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development Cell 157 714-725
[6]  
Weissman IL(2015)Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis Cell 162 184-197
[7]  
Bendall SC(2008)Translation of the Philadelphia chromosome into therapy for CML Blood 112 4808-4817
[8]  
Bendall SC(2016)Mass cytometry: single cells, many features Cell 165 780-791
[9]  
Levine JH(2008)Prospective isolation of skeletal muscle stem cells with a Pax7 reporter Stem Cells 26 3194-3204
[10]  
Druker BJ(2008)Self-renewal and expansion of single transplanted muscle stem cells Nature 456 502-506
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