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Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing

BACKGROUND: The differentiation of skeletal muscle-derived satellite cells (MDSCs) is important in controlling muscle growth, improving livestock muscle quality, and healing of muscle-related disease. MicroRNAs (miRNAs) are a class of gene expression regulatory factors, which play critical roles in...

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Autores principales: Zhang, Wei Wei, Sun, Xiao Feng, Tong, Hui Li, Wang, Ya Hui, Li, Shu Feng, Yan, Yun Qin, Li, Guang Peng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415838/
https://www.ncbi.nlm.nih.gov/pubmed/28536611
http://dx.doi.org/10.1186/s11658-016-0009-x
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author Zhang, Wei Wei
Sun, Xiao Feng
Tong, Hui Li
Wang, Ya Hui
Li, Shu Feng
Yan, Yun Qin
Li, Guang Peng
author_facet Zhang, Wei Wei
Sun, Xiao Feng
Tong, Hui Li
Wang, Ya Hui
Li, Shu Feng
Yan, Yun Qin
Li, Guang Peng
author_sort Zhang, Wei Wei
collection PubMed
description BACKGROUND: The differentiation of skeletal muscle-derived satellite cells (MDSCs) is important in controlling muscle growth, improving livestock muscle quality, and healing of muscle-related disease. MicroRNAs (miRNAs) are a class of gene expression regulatory factors, which play critical roles in the regulation of muscle cell differentiation. This study aimed to compare the expression profile of miRNAs in MDSC differentiation, and to investigate the miRNAs which are involved in MDSC differentiation. METHOD: Total RNA was extracted from MDSCs at three different stages of differentiation (MDSC-P, MDSC-D1 and MDSC-D3, representing 0, 1 and 3 days after differentiation, respectively), and used to construct small RNA libraries for RNA sequencing (RNA-seq). RESULTS: The results showed that in total 617 miRNAs, including 53 novel miRNA candidates, were identified. There were 9 up-expressed, 165 down-expressed, and 15 up-expressed, 145 down-expressed in MDSC-D1 and MDSC-D3, respectively, compared to those in MDSC-P. Also, 17 up-expressed, 55 down-expressed miRNAs were observed in MDSC-D3 compared to those in MDSC-D1. All known miRNAs belong to 237 miRNA gene families. Furthermore, we observed some sequence variants and base edits of the miRNAs. GO and KEGG pathway analysis showed that the majority of target genes regulated by miRNAs were involved in cellular metabolism, pathways in cancer, actin cytoskeleton regulation and the MAPK signaling pathway. Regarding the 53 novel miRNAs, there were 7 up-expressed, 31 down-expressed, and 8 up-expressed, 26 down-expressed in MDSC-D1 and MDSC-D3, respectively, compared to those in MDSC-P. The expression levels of 12 selected miRNA genes detected by RT-qPCR were consistent with those generated by deep sequencing. CONCLUSIONS: This study confirmed the authenticity of 564 known miRNAs and identified 53 novel miRNAs which were involved in MDSC differentiation. The identification of novel miRNAs has significantly expanded the repertoire of bovine miRNAs and could contribute to advances in understanding muscle development in cattle. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s11658-016-0009-x) contains supplementary material, which is available to authorized users.
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spelling pubmed-54158382017-05-23 Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing Zhang, Wei Wei Sun, Xiao Feng Tong, Hui Li Wang, Ya Hui Li, Shu Feng Yan, Yun Qin Li, Guang Peng Cell Mol Biol Lett Research Article BACKGROUND: The differentiation of skeletal muscle-derived satellite cells (MDSCs) is important in controlling muscle growth, improving livestock muscle quality, and healing of muscle-related disease. MicroRNAs (miRNAs) are a class of gene expression regulatory factors, which play critical roles in the regulation of muscle cell differentiation. This study aimed to compare the expression profile of miRNAs in MDSC differentiation, and to investigate the miRNAs which are involved in MDSC differentiation. METHOD: Total RNA was extracted from MDSCs at three different stages of differentiation (MDSC-P, MDSC-D1 and MDSC-D3, representing 0, 1 and 3 days after differentiation, respectively), and used to construct small RNA libraries for RNA sequencing (RNA-seq). RESULTS: The results showed that in total 617 miRNAs, including 53 novel miRNA candidates, were identified. There were 9 up-expressed, 165 down-expressed, and 15 up-expressed, 145 down-expressed in MDSC-D1 and MDSC-D3, respectively, compared to those in MDSC-P. Also, 17 up-expressed, 55 down-expressed miRNAs were observed in MDSC-D3 compared to those in MDSC-D1. All known miRNAs belong to 237 miRNA gene families. Furthermore, we observed some sequence variants and base edits of the miRNAs. GO and KEGG pathway analysis showed that the majority of target genes regulated by miRNAs were involved in cellular metabolism, pathways in cancer, actin cytoskeleton regulation and the MAPK signaling pathway. Regarding the 53 novel miRNAs, there were 7 up-expressed, 31 down-expressed, and 8 up-expressed, 26 down-expressed in MDSC-D1 and MDSC-D3, respectively, compared to those in MDSC-P. The expression levels of 12 selected miRNA genes detected by RT-qPCR were consistent with those generated by deep sequencing. CONCLUSIONS: This study confirmed the authenticity of 564 known miRNAs and identified 53 novel miRNAs which were involved in MDSC differentiation. The identification of novel miRNAs has significantly expanded the repertoire of bovine miRNAs and could contribute to advances in understanding muscle development in cattle. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s11658-016-0009-x) contains supplementary material, which is available to authorized users. BioMed Central 2016-07-28 /pmc/articles/PMC5415838/ /pubmed/28536611 http://dx.doi.org/10.1186/s11658-016-0009-x Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided 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 Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research Article
Zhang, Wei Wei
Sun, Xiao Feng
Tong, Hui Li
Wang, Ya Hui
Li, Shu Feng
Yan, Yun Qin
Li, Guang Peng
Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing
title Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing
title_full Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing
title_fullStr Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing
title_full_unstemmed Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing
title_short Effect of differentiation on microRNA expression in bovine skeletal muscle satellite cells by deep sequencing
title_sort effect of differentiation on microrna expression in bovine skeletal muscle satellite cells by deep sequencing
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5415838/
https://www.ncbi.nlm.nih.gov/pubmed/28536611
http://dx.doi.org/10.1186/s11658-016-0009-x
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