Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysis
Purpose: This study aims to identify immunoglobulin-A-nephropathy-related genes based on microarray data and to investigate novel potential gene targets for immunoglobulin-A-nephropathy treatment. Methods: Immunoglobulin-A-nephropathy chip data was obtained from the Gene Expression Omnibus database,...
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Series: | Journal of the Renin-Angiotensin-Aldosterone System |
Online Access: | https://doi.org/10.1177/1470320320919635 |
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doaj-eced1b78c0c04bff9cdb10f0abcb2a082021-05-02T19:44:01ZengHindawi - SAGE PublishingJournal of the Renin-Angiotensin-Aldosterone System1752-89762020-05-012110.1177/1470320320919635Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysisXiaoxue ChenMindan SunPurpose: This study aims to identify immunoglobulin-A-nephropathy-related genes based on microarray data and to investigate novel potential gene targets for immunoglobulin-A-nephropathy treatment. Methods: Immunoglobulin-A-nephropathy chip data was obtained from the Gene Expression Omnibus database, which included 10 immunoglobulin-A-nephropathy and 22 normal samples. We used the limma package of R software to screen differentially expressed genes in immunoglobulin-A-nephropathy and normal glomerular compartment tissues. Functional enrichment (including cellular components, molecular functions, biological processes) and signal pathways were performed for the differentially expressed genes. The online analysis database (STRING) was used to construct the protein-protein interaction networks of differentially expressed genes, and Cytoscape software was used to identify the hub genes of the signal pathway. In addition, we used the Connectivity Map database to predict possible drugs for the treatment of immunoglobulin-A-nephropathy. Results: A total of 348 differentially expressed genes were screened including 107 up-regulated and 241 down-regulated genes. Functional analysis showed that up-regulated differentially expressed genes were mainly concentrated on leukocyte migration, and the down-regulated differentially expressed genes were significantly enriched in alpha-amino acid metabolic process. A total of six hub genes were obtained: JUN, C3AR1, FN1, AGT, FOS, and SUCNR1. The small-molecule drugs thapsigargin, ciclopirox and ikarugamycin were predicted therapeutic targets against immunoglobulin-A-nephropathy. Conclusion: Differentially expressed genes and hub genes can contribute to understanding the molecular mechanism of immunoglobulin-A-nephropathy and providing potential therapeutic targets and drugs for the diagnosis and treatment of immunoglobulin-A-nephropathy.https://doi.org/10.1177/1470320320919635 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaoxue Chen Mindan Sun |
spellingShingle |
Xiaoxue Chen Mindan Sun Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysis Journal of the Renin-Angiotensin-Aldosterone System |
author_facet |
Xiaoxue Chen Mindan Sun |
author_sort |
Xiaoxue Chen |
title |
Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysis |
title_short |
Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysis |
title_full |
Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysis |
title_fullStr |
Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysis |
title_full_unstemmed |
Identification of key genes, pathways and potential therapeutic agents for IgA nephropathy using an integrated bioinformatics analysis |
title_sort |
identification of key genes, pathways and potential therapeutic agents for iga nephropathy using an integrated bioinformatics analysis |
publisher |
Hindawi - SAGE Publishing |
series |
Journal of the Renin-Angiotensin-Aldosterone System |
issn |
1752-8976 |
publishDate |
2020-05-01 |
description |
Purpose: This study aims to identify immunoglobulin-A-nephropathy-related genes based on microarray data and to investigate novel potential gene targets for immunoglobulin-A-nephropathy treatment. Methods: Immunoglobulin-A-nephropathy chip data was obtained from the Gene Expression Omnibus database, which included 10 immunoglobulin-A-nephropathy and 22 normal samples. We used the limma package of R software to screen differentially expressed genes in immunoglobulin-A-nephropathy and normal glomerular compartment tissues. Functional enrichment (including cellular components, molecular functions, biological processes) and signal pathways were performed for the differentially expressed genes. The online analysis database (STRING) was used to construct the protein-protein interaction networks of differentially expressed genes, and Cytoscape software was used to identify the hub genes of the signal pathway. In addition, we used the Connectivity Map database to predict possible drugs for the treatment of immunoglobulin-A-nephropathy. Results: A total of 348 differentially expressed genes were screened including 107 up-regulated and 241 down-regulated genes. Functional analysis showed that up-regulated differentially expressed genes were mainly concentrated on leukocyte migration, and the down-regulated differentially expressed genes were significantly enriched in alpha-amino acid metabolic process. A total of six hub genes were obtained: JUN, C3AR1, FN1, AGT, FOS, and SUCNR1. The small-molecule drugs thapsigargin, ciclopirox and ikarugamycin were predicted therapeutic targets against immunoglobulin-A-nephropathy. Conclusion: Differentially expressed genes and hub genes can contribute to understanding the molecular mechanism of immunoglobulin-A-nephropathy and providing potential therapeutic targets and drugs for the diagnosis and treatment of immunoglobulin-A-nephropathy. |
url |
https://doi.org/10.1177/1470320320919635 |
work_keys_str_mv |
AT xiaoxuechen identificationofkeygenespathwaysandpotentialtherapeuticagentsforiganephropathyusinganintegratedbioinformaticsanalysis AT mindansun identificationofkeygenespathwaysandpotentialtherapeuticagentsforiganephropathyusinganintegratedbioinformaticsanalysis |
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