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Crucial genes associated with diabetic nephropathy explored by microarray analysis
BACKGROUND: This study sought to investigate crucial genes correlated with diabetic nephropathy (DN), and their potential functions, which might contribute to a better understanding of DN pathogenesis. METHODS: The microarray dataset GSE1009 was downloaded from Gene Expression Omnibus, including 3 d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016939/ https://www.ncbi.nlm.nih.gov/pubmed/27613243 http://dx.doi.org/10.1186/s12882-016-0343-2 |
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author | Wang, Zhikui Wang, Zhaoxia Zhou, Zhongqi Ren, Yueqin |
author_facet | Wang, Zhikui Wang, Zhaoxia Zhou, Zhongqi Ren, Yueqin |
author_sort | Wang, Zhikui |
collection | PubMed |
description | BACKGROUND: This study sought to investigate crucial genes correlated with diabetic nephropathy (DN), and their potential functions, which might contribute to a better understanding of DN pathogenesis. METHODS: The microarray dataset GSE1009 was downloaded from Gene Expression Omnibus, including 3 diabetic glomeruli samples and 3 healthy glomeruli samples. The differentially expressed genes (DEGs) were identified by LIMMA package. Their potential functions were then analyzed by the GO and KEGG pathway enrichment analyses using the DAVID database. Furthermore, miRNAs and transcription factors (TFs) regulating DEGs were predicted by the GeneCoDis tool, and miRNA-DEG-TF regulatory network was visualized by Cytoscape. Additionally, the expression of DEGs was validated using another microarray dataset GSE30528. RESULTS: Totally, 14 up-regulated DEGs and 430 down-regulated ones were identified. Some DEGs (e.g. MTSS1, CALD1 and ACTN4) were markedly relative to cytoskeleton organization. Besides, some other ones were correlated with arrhythmogenic right ventricular cardiomyopathy (e.g. ACTN4, CTNNA1 and ITGB5), as well as complement and coagulation cascades (e.g. C1R and C1S). Furthermore, a series of miRNAs and TFs modulating DEGs were identified. The transcription factor LEF1 regulated the majority of DEGs, such as ITGB5, CALD1 and C1S. Hsa-miR-33a modulated 28 genes, such as C1S. Additionally, 143 DEGs (one upregulated gene and 142 downregulated genes) were also differentially expressed in another dataset GSE30528. CONCLUSIONS: The genes involved in cytoskeleton organization, cardiomyopathy, as well as complement and coagulation cascades may be closely implicated in the progression of DN, via the regulation of miRNAs and TFs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-016-0343-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5016939 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-50169392016-09-10 Crucial genes associated with diabetic nephropathy explored by microarray analysis Wang, Zhikui Wang, Zhaoxia Zhou, Zhongqi Ren, Yueqin BMC Nephrol Research Article BACKGROUND: This study sought to investigate crucial genes correlated with diabetic nephropathy (DN), and their potential functions, which might contribute to a better understanding of DN pathogenesis. METHODS: The microarray dataset GSE1009 was downloaded from Gene Expression Omnibus, including 3 diabetic glomeruli samples and 3 healthy glomeruli samples. The differentially expressed genes (DEGs) were identified by LIMMA package. Their potential functions were then analyzed by the GO and KEGG pathway enrichment analyses using the DAVID database. Furthermore, miRNAs and transcription factors (TFs) regulating DEGs were predicted by the GeneCoDis tool, and miRNA-DEG-TF regulatory network was visualized by Cytoscape. Additionally, the expression of DEGs was validated using another microarray dataset GSE30528. RESULTS: Totally, 14 up-regulated DEGs and 430 down-regulated ones were identified. Some DEGs (e.g. MTSS1, CALD1 and ACTN4) were markedly relative to cytoskeleton organization. Besides, some other ones were correlated with arrhythmogenic right ventricular cardiomyopathy (e.g. ACTN4, CTNNA1 and ITGB5), as well as complement and coagulation cascades (e.g. C1R and C1S). Furthermore, a series of miRNAs and TFs modulating DEGs were identified. The transcription factor LEF1 regulated the majority of DEGs, such as ITGB5, CALD1 and C1S. Hsa-miR-33a modulated 28 genes, such as C1S. Additionally, 143 DEGs (one upregulated gene and 142 downregulated genes) were also differentially expressed in another dataset GSE30528. CONCLUSIONS: The genes involved in cytoskeleton organization, cardiomyopathy, as well as complement and coagulation cascades may be closely implicated in the progression of DN, via the regulation of miRNAs and TFs. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12882-016-0343-2) contains supplementary material, which is available to authorized users. BioMed Central 2016-09-09 /pmc/articles/PMC5016939/ /pubmed/27613243 http://dx.doi.org/10.1186/s12882-016-0343-2 Text en © The Author(s). 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Wang, Zhikui Wang, Zhaoxia Zhou, Zhongqi Ren, Yueqin Crucial genes associated with diabetic nephropathy explored by microarray analysis |
title | Crucial genes associated with diabetic nephropathy explored by microarray analysis |
title_full | Crucial genes associated with diabetic nephropathy explored by microarray analysis |
title_fullStr | Crucial genes associated with diabetic nephropathy explored by microarray analysis |
title_full_unstemmed | Crucial genes associated with diabetic nephropathy explored by microarray analysis |
title_short | Crucial genes associated with diabetic nephropathy explored by microarray analysis |
title_sort | crucial genes associated with diabetic nephropathy explored by microarray analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5016939/ https://www.ncbi.nlm.nih.gov/pubmed/27613243 http://dx.doi.org/10.1186/s12882-016-0343-2 |
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