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Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues
Skeletal muscle comprises a family of diverse tissues with highly specialized functions. Many acquired diseases, including HIV and COPD, affect specific muscles while sparing others. Even monogenic muscular dystrophies selectively affect certain muscle groups. These observations suggest that factors...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008051/ https://www.ncbi.nlm.nih.gov/pubmed/29809149 http://dx.doi.org/10.7554/eLife.34613 |
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author | Terry, Erin E Zhang, Xiping Hoffmann, Christy Hughes, Laura D Lewis, Scott A Li, Jiajia Wallace, Matthew J Riley, Lance A Douglas, Collin M Gutierrez-Monreal, Miguel A Lahens, Nicholas F Gong, Ming C Andrade, Francisco Esser, Karyn A Hughes, Michael E |
author_facet | Terry, Erin E Zhang, Xiping Hoffmann, Christy Hughes, Laura D Lewis, Scott A Li, Jiajia Wallace, Matthew J Riley, Lance A Douglas, Collin M Gutierrez-Monreal, Miguel A Lahens, Nicholas F Gong, Ming C Andrade, Francisco Esser, Karyn A Hughes, Michael E |
author_sort | Terry, Erin E |
collection | PubMed |
description | Skeletal muscle comprises a family of diverse tissues with highly specialized functions. Many acquired diseases, including HIV and COPD, affect specific muscles while sparing others. Even monogenic muscular dystrophies selectively affect certain muscle groups. These observations suggest that factors intrinsic to muscle tissues influence their resistance to disease. Nevertheless, most studies have not addressed transcriptional diversity among skeletal muscles. Here we use RNAseq to profile mRNA expression in skeletal, smooth, and cardiac muscle tissues from mice and rats. Our data set, MuscleDB, reveals extensive transcriptional diversity, with greater than 50% of transcripts differentially expressed among skeletal muscle tissues. We detect mRNA expression of hundreds of putative myokines that may underlie the endocrine functions of skeletal muscle. We identify candidate genes that may drive tissue specialization, including Smarca4, Vegfa, and Myostatin. By demonstrating the intrinsic diversity of skeletal muscles, these data provide a resource for studying the mechanisms of tissue specialization. |
format | Online Article Text |
id | pubmed-6008051 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-60080512018-06-20 Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues Terry, Erin E Zhang, Xiping Hoffmann, Christy Hughes, Laura D Lewis, Scott A Li, Jiajia Wallace, Matthew J Riley, Lance A Douglas, Collin M Gutierrez-Monreal, Miguel A Lahens, Nicholas F Gong, Ming C Andrade, Francisco Esser, Karyn A Hughes, Michael E eLife Cell Biology Skeletal muscle comprises a family of diverse tissues with highly specialized functions. Many acquired diseases, including HIV and COPD, affect specific muscles while sparing others. Even monogenic muscular dystrophies selectively affect certain muscle groups. These observations suggest that factors intrinsic to muscle tissues influence their resistance to disease. Nevertheless, most studies have not addressed transcriptional diversity among skeletal muscles. Here we use RNAseq to profile mRNA expression in skeletal, smooth, and cardiac muscle tissues from mice and rats. Our data set, MuscleDB, reveals extensive transcriptional diversity, with greater than 50% of transcripts differentially expressed among skeletal muscle tissues. We detect mRNA expression of hundreds of putative myokines that may underlie the endocrine functions of skeletal muscle. We identify candidate genes that may drive tissue specialization, including Smarca4, Vegfa, and Myostatin. By demonstrating the intrinsic diversity of skeletal muscles, these data provide a resource for studying the mechanisms of tissue specialization. eLife Sciences Publications, Ltd 2018-05-29 /pmc/articles/PMC6008051/ /pubmed/29809149 http://dx.doi.org/10.7554/eLife.34613 Text en © 2018, Terry et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited. |
spellingShingle | Cell Biology Terry, Erin E Zhang, Xiping Hoffmann, Christy Hughes, Laura D Lewis, Scott A Li, Jiajia Wallace, Matthew J Riley, Lance A Douglas, Collin M Gutierrez-Monreal, Miguel A Lahens, Nicholas F Gong, Ming C Andrade, Francisco Esser, Karyn A Hughes, Michael E Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues |
title | Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues |
title_full | Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues |
title_fullStr | Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues |
title_full_unstemmed | Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues |
title_short | Transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues |
title_sort | transcriptional profiling reveals extraordinary diversity among skeletal muscle tissues |
topic | Cell Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6008051/ https://www.ncbi.nlm.nih.gov/pubmed/29809149 http://dx.doi.org/10.7554/eLife.34613 |
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