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Single-cell transcriptional profiles in human skeletal muscle
Skeletal muscle is a heterogeneous tissue comprised of muscle fiber and mononuclear cell types that, in addition to movement, influences immunity, metabolism and cognition. We investigated the gene expression patterns of skeletal muscle cells using RNA-seq of subtype-pooled single human muscle fiber...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959232/ https://www.ncbi.nlm.nih.gov/pubmed/31937892 http://dx.doi.org/10.1038/s41598-019-57110-6 |
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author | Rubenstein, Aliza B. Smith, Gregory R. Raue, Ulrika Begue, Gwénaëlle Minchev, Kiril Ruf-Zamojski, Frederique Nair, Venugopalan D. Wang, Xingyu Zhou, Lan Zaslavsky, Elena Trappe, Todd A. Trappe, Scott Sealfon, Stuart C. |
author_facet | Rubenstein, Aliza B. Smith, Gregory R. Raue, Ulrika Begue, Gwénaëlle Minchev, Kiril Ruf-Zamojski, Frederique Nair, Venugopalan D. Wang, Xingyu Zhou, Lan Zaslavsky, Elena Trappe, Todd A. Trappe, Scott Sealfon, Stuart C. |
author_sort | Rubenstein, Aliza B. |
collection | PubMed |
description | Skeletal muscle is a heterogeneous tissue comprised of muscle fiber and mononuclear cell types that, in addition to movement, influences immunity, metabolism and cognition. We investigated the gene expression patterns of skeletal muscle cells using RNA-seq of subtype-pooled single human muscle fibers and single cell RNA-seq of mononuclear cells from human vastus lateralis, mouse quadriceps, and mouse diaphragm. We identified 11 human skeletal muscle mononuclear cell types, including two fibro-adipogenic progenitor (FAP) cell subtypes. The human FBN1+ FAP cell subtype is novel and a corresponding FBN1+ FAP cell type was also found in single cell RNA-seq analysis in mouse. Transcriptome exercise studies using bulk tissue analysis do not resolve changes in individual cell-type proportion or gene expression. The cell-type gene signatures provide the means to use computational methods to identify cell-type level changes in bulk studies. As an example, we analyzed public transcriptome data from an exercise training study and revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. Our single-cell expression map of skeletal muscle cell types will further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease. |
format | Online Article Text |
id | pubmed-6959232 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-69592322020-01-16 Single-cell transcriptional profiles in human skeletal muscle Rubenstein, Aliza B. Smith, Gregory R. Raue, Ulrika Begue, Gwénaëlle Minchev, Kiril Ruf-Zamojski, Frederique Nair, Venugopalan D. Wang, Xingyu Zhou, Lan Zaslavsky, Elena Trappe, Todd A. Trappe, Scott Sealfon, Stuart C. Sci Rep Article Skeletal muscle is a heterogeneous tissue comprised of muscle fiber and mononuclear cell types that, in addition to movement, influences immunity, metabolism and cognition. We investigated the gene expression patterns of skeletal muscle cells using RNA-seq of subtype-pooled single human muscle fibers and single cell RNA-seq of mononuclear cells from human vastus lateralis, mouse quadriceps, and mouse diaphragm. We identified 11 human skeletal muscle mononuclear cell types, including two fibro-adipogenic progenitor (FAP) cell subtypes. The human FBN1+ FAP cell subtype is novel and a corresponding FBN1+ FAP cell type was also found in single cell RNA-seq analysis in mouse. Transcriptome exercise studies using bulk tissue analysis do not resolve changes in individual cell-type proportion or gene expression. The cell-type gene signatures provide the means to use computational methods to identify cell-type level changes in bulk studies. As an example, we analyzed public transcriptome data from an exercise training study and revealed significant changes in specific mononuclear cell-type proportions related to age, sex, acute exercise and training. Our single-cell expression map of skeletal muscle cell types will further the understanding of the diverse effects of exercise and the pathophysiology of muscle disease. Nature Publishing Group UK 2020-01-14 /pmc/articles/PMC6959232/ /pubmed/31937892 http://dx.doi.org/10.1038/s41598-019-57110-6 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Rubenstein, Aliza B. Smith, Gregory R. Raue, Ulrika Begue, Gwénaëlle Minchev, Kiril Ruf-Zamojski, Frederique Nair, Venugopalan D. Wang, Xingyu Zhou, Lan Zaslavsky, Elena Trappe, Todd A. Trappe, Scott Sealfon, Stuart C. Single-cell transcriptional profiles in human skeletal muscle |
title | Single-cell transcriptional profiles in human skeletal muscle |
title_full | Single-cell transcriptional profiles in human skeletal muscle |
title_fullStr | Single-cell transcriptional profiles in human skeletal muscle |
title_full_unstemmed | Single-cell transcriptional profiles in human skeletal muscle |
title_short | Single-cell transcriptional profiles in human skeletal muscle |
title_sort | single-cell transcriptional profiles in human skeletal muscle |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6959232/ https://www.ncbi.nlm.nih.gov/pubmed/31937892 http://dx.doi.org/10.1038/s41598-019-57110-6 |
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