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Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases

PURPOSE: To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and elucidate the possible molecular mechanism. METHODS: The GSE93798 and GSE73953 datasets containing microarray data from IgAN patients and healthy controls were downloaded from the GEO database and ana...

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Detalles Bibliográficos
Autores principales: Qian, Wang, Xiaoyi, Wang, Zi, Ye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662497/
https://www.ncbi.nlm.nih.gov/pubmed/31392215
http://dx.doi.org/10.1155/2019/8794013
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author Qian, Wang
Xiaoyi, Wang
Zi, Ye
author_facet Qian, Wang
Xiaoyi, Wang
Zi, Ye
author_sort Qian, Wang
collection PubMed
description PURPOSE: To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and elucidate the possible molecular mechanism. METHODS: The GSE93798 and GSE73953 datasets containing microarray data from IgAN patients and healthy controls were downloaded from the GEO database and analyzed by the GEO2R web tool to obtain different expressed genes (DEGs). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, protein-protein interaction (PPI), and Biological Networks Gene Oncology tool (BiNGO) were then performed to elucidate the molecular mechanism of IgAN. RESULTS: A total of 223 DEGs were identified, of which 21 were hub genes, and involved in inflammatory response, cellular response to lipopolysaccharide, transcription factor activity, extracellular exosome, TNF signaling pathway, and MAPK signaling pathway. CONCLUSIONS: TNF and MAPK pathways likely form the basis of IgAN progression, and JUN/JUNB, FOS, NR4A1/2, EGR1, and FOSL1/2 are novel prognostic biomarkers of IgAN.
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spelling pubmed-66624972019-08-07 Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases Qian, Wang Xiaoyi, Wang Zi, Ye Biomed Res Int Research Article PURPOSE: To identify novel biomarkers of IgA nephropathy (IgAN) through bioinformatics analysis and elucidate the possible molecular mechanism. METHODS: The GSE93798 and GSE73953 datasets containing microarray data from IgAN patients and healthy controls were downloaded from the GEO database and analyzed by the GEO2R web tool to obtain different expressed genes (DEGs). Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis, protein-protein interaction (PPI), and Biological Networks Gene Oncology tool (BiNGO) were then performed to elucidate the molecular mechanism of IgAN. RESULTS: A total of 223 DEGs were identified, of which 21 were hub genes, and involved in inflammatory response, cellular response to lipopolysaccharide, transcription factor activity, extracellular exosome, TNF signaling pathway, and MAPK signaling pathway. CONCLUSIONS: TNF and MAPK pathways likely form the basis of IgAN progression, and JUN/JUNB, FOS, NR4A1/2, EGR1, and FOSL1/2 are novel prognostic biomarkers of IgAN. Hindawi 2019-07-16 /pmc/articles/PMC6662497/ /pubmed/31392215 http://dx.doi.org/10.1155/2019/8794013 Text en Copyright © 2019 Wang Qian et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Qian, Wang
Xiaoyi, Wang
Zi, Ye
Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases
title Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases
title_full Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases
title_fullStr Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases
title_full_unstemmed Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases
title_short Screening and Bioinformatics Analysis of IgA Nephropathy Gene Based on GEO Databases
title_sort screening and bioinformatics analysis of iga nephropathy gene based on geo databases
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6662497/
https://www.ncbi.nlm.nih.gov/pubmed/31392215
http://dx.doi.org/10.1155/2019/8794013
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