Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury

Abstract Spinal cord injury (SCI) is often accompanied by muscle atrophy; however, its underlying mechanisms remain unclear. Here, the molecular mechanisms of muscle atrophy following SCI were investigated. The GSE45550 gene expression profile of control (before SCI) and experimental (14 days follow...

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Autores principales:	Hui Huang, Jinju Xue, Jiaxuan Zheng, Haiquan Tian, Yehan Fang, Wei Wang, Guangji Wang, Dan Hou, Jianping Lin
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/910c36ccc86148e9a90623e1362aa3b9
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spelling	oai:doaj.org-article:910c36ccc86148e9a90623e1362aa3b92021-11-14T12:19:17ZBioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury10.1038/s41598-021-01302-62045-2322https://doaj.org/article/910c36ccc86148e9a90623e1362aa3b92021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-01302-6https://doaj.org/toc/2045-2322Abstract Spinal cord injury (SCI) is often accompanied by muscle atrophy; however, its underlying mechanisms remain unclear. Here, the molecular mechanisms of muscle atrophy following SCI were investigated. The GSE45550 gene expression profile of control (before SCI) and experimental (14 days following SCI) groups, consisting of Sprague–Dawley rat soleus muscle (n = 6 per group), was downloaded from the Gene Expression Omnibus database, and then differentially expressed gene (DEG) identification and Gene Ontology, pathway, pathway network, and gene signal network analyses were performed. A total of 925 differentially expressed genes, 149 biological processes, and 55 pathways were screened. In the pathway network analysis, the 10 most important pathways were citrate cycle (TCA cycle), pyruvate metabolism, MAPK signalling pathway, fatty acid degradation, propanoate metabolism, apoptosis, focal adhesion, synthesis and degradation of ketone bodies, Wnt signalling, and cancer pathways. In the gene signal network analysis, the 10 most important genes were Acat1, Acadvl, Acaa2, Hadhb, Acss1, Oxct1, Hadha, Hadh, Acaca, and Cpt1b. Thus, we screened the key genes and pathways that may be involved in muscle atrophy after SCI and provided support for finding valuable markers for this disease.Hui HuangJinju XueJiaxuan ZhengHaiquan TianYehan FangWei WangGuangji WangDan HouJianping LinNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hui Huang Jinju Xue Jiaxuan Zheng Haiquan Tian Yehan Fang Wei Wang Guangji Wang Dan Hou Jianping Lin Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury
description	Abstract Spinal cord injury (SCI) is often accompanied by muscle atrophy; however, its underlying mechanisms remain unclear. Here, the molecular mechanisms of muscle atrophy following SCI were investigated. The GSE45550 gene expression profile of control (before SCI) and experimental (14 days following SCI) groups, consisting of Sprague–Dawley rat soleus muscle (n = 6 per group), was downloaded from the Gene Expression Omnibus database, and then differentially expressed gene (DEG) identification and Gene Ontology, pathway, pathway network, and gene signal network analyses were performed. A total of 925 differentially expressed genes, 149 biological processes, and 55 pathways were screened. In the pathway network analysis, the 10 most important pathways were citrate cycle (TCA cycle), pyruvate metabolism, MAPK signalling pathway, fatty acid degradation, propanoate metabolism, apoptosis, focal adhesion, synthesis and degradation of ketone bodies, Wnt signalling, and cancer pathways. In the gene signal network analysis, the 10 most important genes were Acat1, Acadvl, Acaa2, Hadhb, Acss1, Oxct1, Hadha, Hadh, Acaca, and Cpt1b. Thus, we screened the key genes and pathways that may be involved in muscle atrophy after SCI and provided support for finding valuable markers for this disease.
format	article
author	Hui Huang Jinju Xue Jiaxuan Zheng Haiquan Tian Yehan Fang Wei Wang Guangji Wang Dan Hou Jianping Lin
author_facet	Hui Huang Jinju Xue Jiaxuan Zheng Haiquan Tian Yehan Fang Wei Wang Guangji Wang Dan Hou Jianping Lin
author_sort	Hui Huang
title	Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury
title_short	Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury
title_full	Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury
title_fullStr	Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury
title_full_unstemmed	Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury
title_sort	bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/910c36ccc86148e9a90623e1362aa3b9
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Bioinformatic analysis of the gene expression profile in muscle atrophy after spinal cord injury

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