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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2019
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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. |
format | Online Article Text |
id | pubmed-6662497 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
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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