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Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis

The study was aimed to analyze the potential gene modules and hub genes of Duchenne muscular dystrophy (DMD) by weighted gene co-expression network analysis. METHODS: Based on the muscular dystrophy tissue expression profiling microarray GSE13608 from gene expression omnibus, gene co-expression modu...

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Autores principales: Wei, Yanning, Su, Qisheng, Li, Xiaohong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803489/
https://www.ncbi.nlm.nih.gov/pubmed/36596079
http://dx.doi.org/10.1097/MD.0000000000032603
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author Wei, Yanning
Su, Qisheng
Li, Xiaohong
author_facet Wei, Yanning
Su, Qisheng
Li, Xiaohong
author_sort Wei, Yanning
collection PubMed
description The study was aimed to analyze the potential gene modules and hub genes of Duchenne muscular dystrophy (DMD) by weighted gene co-expression network analysis. METHODS: Based on the muscular dystrophy tissue expression profiling microarray GSE13608 from gene expression omnibus, gene co-expression modules were analyzed using weighted gene co-expression network analysis, gene modules related to DMD were screened, gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses were performed, and signature genes in the modules were screened. The protein–protein interaction network was constructed through Cytoscape, and hub genes were identified. The expression of hub genes in DMD versus normal muscle tissue was calculated in GSE6011. RESULTS: 12 co-expressed gene modules were identified, among which black module was significantly related to DMD. The characteristic genes in the module were enriched in the regulation of immune effector processes, immune response mediated by immunoglobulin, immune response mediated by B cells, etc. SERPING1, F13A1, C1S, C1R, and HLA-DPA1 were considered as hub genes in protein–protein interaction network. Analysis of GSE6011 shows that expression of SERPING1, F13A1, C1S, C1R, and HLA-DPA1 in tissues of DMD patients were higher than normal. CONCLUSION: SERPING1, F13A1, C1S, C1R, and HLA-DPA1 may participate in the development of DMD by regulating innate immunity and inflammation, and they are expected to be a potential biomarker and novel therapeutic targets for DMD.
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spelling pubmed-98034892023-01-03 Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis Wei, Yanning Su, Qisheng Li, Xiaohong Medicine (Baltimore) 5300 The study was aimed to analyze the potential gene modules and hub genes of Duchenne muscular dystrophy (DMD) by weighted gene co-expression network analysis. METHODS: Based on the muscular dystrophy tissue expression profiling microarray GSE13608 from gene expression omnibus, gene co-expression modules were analyzed using weighted gene co-expression network analysis, gene modules related to DMD were screened, gene ontology and Kyoto encyclopedia of genes and genomes enrichment analyses were performed, and signature genes in the modules were screened. The protein–protein interaction network was constructed through Cytoscape, and hub genes were identified. The expression of hub genes in DMD versus normal muscle tissue was calculated in GSE6011. RESULTS: 12 co-expressed gene modules were identified, among which black module was significantly related to DMD. The characteristic genes in the module were enriched in the regulation of immune effector processes, immune response mediated by immunoglobulin, immune response mediated by B cells, etc. SERPING1, F13A1, C1S, C1R, and HLA-DPA1 were considered as hub genes in protein–protein interaction network. Analysis of GSE6011 shows that expression of SERPING1, F13A1, C1S, C1R, and HLA-DPA1 in tissues of DMD patients were higher than normal. CONCLUSION: SERPING1, F13A1, C1S, C1R, and HLA-DPA1 may participate in the development of DMD by regulating innate immunity and inflammation, and they are expected to be a potential biomarker and novel therapeutic targets for DMD. Lippincott Williams & Wilkins 2022-12-30 /pmc/articles/PMC9803489/ /pubmed/36596079 http://dx.doi.org/10.1097/MD.0000000000032603 Text en Copyright © 2022 the Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC) (https://creativecommons.org/licenses/by-nc/4.0/) , where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal.
spellingShingle 5300
Wei, Yanning
Su, Qisheng
Li, Xiaohong
Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis
title Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis
title_full Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis
title_fullStr Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis
title_full_unstemmed Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis
title_short Identification of hub genes related to Duchenne muscular dystrophy by weighted gene co-expression network analysis
title_sort identification of hub genes related to duchenne muscular dystrophy by weighted gene co-expression network analysis
topic 5300
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9803489/
https://www.ncbi.nlm.nih.gov/pubmed/36596079
http://dx.doi.org/10.1097/MD.0000000000032603
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