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

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High-resolution myogenic lineage mapping by single-cell mass cytometry. / Porpiglia, Ermelinda; Samusik, Nikolay; Ho, Andrew Tri Van et al.

In: Nature Cell Biology, Vol. 19, No. 5, 05.2017, p. 558-567.

Research output: Contribution to journal/Conference contribution in journal/Contribution to newspaper › Journal article › Research › peer-review

Harvard

Porpiglia, E, Samusik, N, Ho, ATV, Cosgrove, BD, Mai, T, Davis, KL, Jager, A, Nolan, GP, Bendall, SC, Fantl, WJ & Blau, HM 2017, 'High-resolution myogenic lineage mapping by single-cell mass cytometry', Nature Cell Biology, vol. 19, no. 5, pp. 558-567. https://doi.org/10.1038/ncb3507

APA

Porpiglia, E., Samusik, N., Ho, A. T. V., Cosgrove, B. D., Mai, T., Davis, K. L., Jager, A., Nolan, G. P., Bendall, S. C., Fantl, W. J., & Blau, H. M. (2017). High-resolution myogenic lineage mapping by single-cell mass cytometry. Nature Cell Biology, 19(5), 558-567. https://doi.org/10.1038/ncb3507

CBE

Porpiglia E, Samusik N, Ho ATV, Cosgrove BD, Mai T, Davis KL, Jager A, Nolan GP, Bendall SC, Fantl WJ, et al. 2017. High-resolution myogenic lineage mapping by single-cell mass cytometry. Nature Cell Biology. 19(5):558-567. https://doi.org/10.1038/ncb3507

MLA

Porpiglia, Ermelinda et al. "High-resolution myogenic lineage mapping by single-cell mass cytometry". Nature Cell Biology. 2017, 19(5). 558-567. https://doi.org/10.1038/ncb3507

Vancouver

Porpiglia E, Samusik N, Ho ATV, Cosgrove BD, Mai T, Davis KL et al. High-resolution myogenic lineage mapping by single-cell mass cytometry. Nature Cell Biology. 2017 May;19(5):558-567. doi: 10.1038/ncb3507

Author

Porpiglia, Ermelinda ; Samusik, Nikolay ; Ho, Andrew Tri Van et al. / High-resolution myogenic lineage mapping by single-cell mass cytometry. In: Nature Cell Biology. 2017 ; Vol. 19, No. 5. pp. 558-567.

Bibtex

@article{f03c08e65cd3431f9842b55912a268e8,
title = "High-resolution myogenic lineage mapping by single-cell mass cytometry",
abstract = "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.",
keywords = "Animals, Biomarkers/metabolism, Cell Lineage, Cell Proliferation, Cell Separation/methods, Cells, Cultured, Elapid Venoms/toxicity, Flow Cytometry/methods, Fusion Regulatory Protein-1/metabolism, Genes, Reporter, Genotype, High-Throughput Screening Assays, Hyaluronan Receptors/metabolism, Integrin beta4/metabolism, Luminescent Proteins/genetics, Mice, Inbred C57BL, Mice, Transgenic, Muscle Development/drug effects, Muscle, Skeletal/drug effects, MyoD Protein/metabolism, Myoblasts, Skeletal/drug effects, PAX7 Transcription Factor/deficiency, Phenotype, Regeneration/drug effects, Single-Cell Analysis/methods, Stem Cells/drug effects, Tetraspanin 29/metabolism, Time Factors",
author = "Ermelinda Porpiglia and Nikolay Samusik and Ho, {Andrew Tri Van} and Cosgrove, {Benjamin D} and Thach Mai and Davis, {Kara L} and Astraea Jager and Nolan, {Garry P} and Bendall, {Sean C} and Fantl, {Wendy J} and Blau, {Helen M}",
year = "2017",
month = may,
doi = "10.1038/ncb3507",
language = "English",
volume = "19",
pages = "558--567",
journal = "Nature Cell Biology",
issn = "1465-7392",
publisher = "Nature Publishing Group",
number = "5",

}

RIS

TY - JOUR

T1 - High-resolution myogenic lineage mapping by single-cell mass cytometry

AU - Porpiglia, Ermelinda

AU - Samusik, Nikolay

AU - Ho, Andrew Tri Van

AU - Cosgrove, Benjamin D

AU - Mai, Thach

AU - Davis, Kara L

AU - Jager, Astraea

AU - Nolan, Garry P

AU - Bendall, Sean C

AU - Fantl, Wendy J

AU - Blau, Helen M

PY - 2017/5

Y1 - 2017/5

N2 - 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.

AB - 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.

KW - Animals

KW - Biomarkers/metabolism

KW - Cell Lineage

KW - Cell Proliferation

KW - Cell Separation/methods

KW - Cells, Cultured

KW - Elapid Venoms/toxicity

KW - Flow Cytometry/methods

KW - Fusion Regulatory Protein-1/metabolism

KW - Genes, Reporter

KW - Genotype

KW - High-Throughput Screening Assays

KW - Hyaluronan Receptors/metabolism

KW - Integrin beta4/metabolism

KW - Luminescent Proteins/genetics

KW - Mice, Inbred C57BL

KW - Mice, Transgenic

KW - Muscle Development/drug effects

KW - Muscle, Skeletal/drug effects

KW - MyoD Protein/metabolism

KW - Myoblasts, Skeletal/drug effects

KW - PAX7 Transcription Factor/deficiency

KW - Phenotype

KW - Regeneration/drug effects

KW - Single-Cell Analysis/methods

KW - Stem Cells/drug effects

KW - Tetraspanin 29/metabolism

KW - Time Factors

U2 - 10.1038/ncb3507

DO - 10.1038/ncb3507

M3 - Journal article

C2 - 28414312

VL - 19

SP - 558

EP - 567

JO - Nature Cell Biology

JF - Nature Cell Biology

SN - 1465-7392

IS - 5

ER -