Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis

Improving the understanding of the molecular mechanism of tuberculous pleurisy is required to develop diagnosis and new therapy strategies of targeted genes. The purpose of this study is to identify important genes related to tuberculous pleurisy. In this study, the expression profile obtained by se...

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Autores principales:	Lei Shi, Zilu Wen, Hongwei Li, Yanzheng Song
Formato:	article
Lenguaje:	EN
Publicado:	Frontiers Media S.A. 2021
Materias:	tuberculous pleurisy differential gene expression analysis weighted gene co-expression network analysis the differential co-expression genes biomarkers Genetics QH426-470
Acceso en línea:	https://doaj.org/article/96432853e4c44f7f8c1429144888e7b4
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spelling	oai:doaj.org-article:96432853e4c44f7f8c1429144888e7b42021-12-03T06:29:16ZIdentification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis1664-802110.3389/fgene.2021.730491https://doaj.org/article/96432853e4c44f7f8c1429144888e7b42021-12-01T00:00:00Zhttps://www.frontiersin.org/articles/10.3389/fgene.2021.730491/fullhttps://doaj.org/toc/1664-8021Improving the understanding of the molecular mechanism of tuberculous pleurisy is required to develop diagnosis and new therapy strategies of targeted genes. The purpose of this study is to identify important genes related to tuberculous pleurisy. In this study, the expression profile obtained by sequencing the surgically resected pleural tissue was used to explore the differentially co-expressed genes between tuberculous pleurisy tissue and normal tissue. 29 differentially co-expressed genes were screened by weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis methods. According to the functional annotation analysis of R clusterProfiler software package, these genes are mainly enriched in nucleotide−sugar biosynthetic process (biological process), ficolin−1−rich granule lumen (cell component), and electron transfer activity (molecular function). In addition, in the protein-protein interaction (PPI) network, 20 hub genes of DEGs and WCGNA genes were identified using the CytoHubba plug-in of Cytoscape. In the end, RPL17 was identified as a gene that can be the biomarker of tuberculous pleurisy. At the same time, there are seven genes that may have relationship with the disease (UBA7, NDUFB8, UQCRFS1, JUNB, PSMC4, PHPT1, and MAPK11).Lei ShiZilu WenHongwei LiYanzheng SongYanzheng SongFrontiers Media S.A.articletuberculous pleurisydifferential gene expression analysisweighted gene co-expression network analysisthe differential co-expression genesbiomarkersGeneticsQH426-470ENFrontiers in Genetics, Vol 12 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	tuberculous pleurisy differential gene expression analysis weighted gene co-expression network analysis the differential co-expression genes biomarkers Genetics QH426-470
spellingShingle	tuberculous pleurisy differential gene expression analysis weighted gene co-expression network analysis the differential co-expression genes biomarkers Genetics QH426-470 Lei Shi Zilu Wen Hongwei Li Yanzheng Song Yanzheng Song Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis
description	Improving the understanding of the molecular mechanism of tuberculous pleurisy is required to develop diagnosis and new therapy strategies of targeted genes. The purpose of this study is to identify important genes related to tuberculous pleurisy. In this study, the expression profile obtained by sequencing the surgically resected pleural tissue was used to explore the differentially co-expressed genes between tuberculous pleurisy tissue and normal tissue. 29 differentially co-expressed genes were screened by weighted gene co-expression network analysis (WGCNA) and differential gene expression analysis methods. According to the functional annotation analysis of R clusterProfiler software package, these genes are mainly enriched in nucleotide−sugar biosynthetic process (biological process), ficolin−1−rich granule lumen (cell component), and electron transfer activity (molecular function). In addition, in the protein-protein interaction (PPI) network, 20 hub genes of DEGs and WCGNA genes were identified using the CytoHubba plug-in of Cytoscape. In the end, RPL17 was identified as a gene that can be the biomarker of tuberculous pleurisy. At the same time, there are seven genes that may have relationship with the disease (UBA7, NDUFB8, UQCRFS1, JUNB, PSMC4, PHPT1, and MAPK11).
format	article
author	Lei Shi Zilu Wen Hongwei Li Yanzheng Song Yanzheng Song
author_facet	Lei Shi Zilu Wen Hongwei Li Yanzheng Song Yanzheng Song
author_sort	Lei Shi
title	Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis
title_short	Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis
title_full	Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis
title_fullStr	Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis
title_full_unstemmed	Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis
title_sort	identification of hub genes associated with tuberculous pleurisy by integrated bioinformatics analysis
publisher	Frontiers Media S.A.
publishDate	2021
url	https://doaj.org/article/96432853e4c44f7f8c1429144888e7b4
work_keys_str_mv	AT leishi identificationofhubgenesassociatedwithtuberculouspleurisybyintegratedbioinformaticsanalysis AT ziluwen identificationofhubgenesassociatedwithtuberculouspleurisybyintegratedbioinformaticsanalysis AT hongweili identificationofhubgenesassociatedwithtuberculouspleurisybyintegratedbioinformaticsanalysis AT yanzhengsong identificationofhubgenesassociatedwithtuberculouspleurisybyintegratedbioinformaticsanalysis AT yanzhengsong identificationofhubgenesassociatedwithtuberculouspleurisybyintegratedbioinformaticsanalysis
_version_	1718373885822369792

Identification of Hub Genes Associated With Tuberculous Pleurisy by Integrated Bioinformatics Analysis

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