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Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis
The current study is aimed to explore the specific genes which are responsible for the manifestation of Immunoglobulin A nephropathy (IgAN). Gene expression profiles GSE37460, GSE93798 and GSE104948 were analyzed using biological informatics methods to identify differentially expressed genes (DEGs)...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6645034/ https://www.ncbi.nlm.nih.gov/pubmed/31355054 http://dx.doi.org/10.7717/peerj.7067 |
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author | Miraji, Mohammed Khamis Cheng, Yichun Ge, Shuwang Xu, Gang |
author_facet | Miraji, Mohammed Khamis Cheng, Yichun Ge, Shuwang Xu, Gang |
author_sort | Miraji, Mohammed Khamis |
collection | PubMed |
description | The current study is aimed to explore the specific genes which are responsible for the manifestation of Immunoglobulin A nephropathy (IgAN). Gene expression profiles GSE37460, GSE93798 and GSE104948 were analyzed using biological informatics methods to identify differentially expressed genes (DEGs) in IgAN glomeruli samples which were then compared to normal control samples. Subsequently, the DEGs were overlapped to explore genes with significant expression in at least two profiles. Finally, the enrichment analysis was conducted and the protein-protein interaction (PPI) network was constructed for the overlapping DEGs. A total of 28 genes were up-regulated and 10 genes were down-regulated. The up-regulated genes including CD44 and FN1 were chiefly involved in extracellular matrix receptors interaction pathway. In addition, CX3CR1 and CCL4 were associated with chemokine signaling pathway. ITGB2, PTPRC, FN1, and FCER1G were hub genes with a high degree of interaction in the PPI network. Therefore, this study identified many significant genes associated with extracellular matrix expansion and inflammatory mechanism which may be the novel biomarker and target candidates in IgAN. |
format | Online Article Text |
id | pubmed-6645034 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66450342019-07-26 Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis Miraji, Mohammed Khamis Cheng, Yichun Ge, Shuwang Xu, Gang PeerJ Bioinformatics The current study is aimed to explore the specific genes which are responsible for the manifestation of Immunoglobulin A nephropathy (IgAN). Gene expression profiles GSE37460, GSE93798 and GSE104948 were analyzed using biological informatics methods to identify differentially expressed genes (DEGs) in IgAN glomeruli samples which were then compared to normal control samples. Subsequently, the DEGs were overlapped to explore genes with significant expression in at least two profiles. Finally, the enrichment analysis was conducted and the protein-protein interaction (PPI) network was constructed for the overlapping DEGs. A total of 28 genes were up-regulated and 10 genes were down-regulated. The up-regulated genes including CD44 and FN1 were chiefly involved in extracellular matrix receptors interaction pathway. In addition, CX3CR1 and CCL4 were associated with chemokine signaling pathway. ITGB2, PTPRC, FN1, and FCER1G were hub genes with a high degree of interaction in the PPI network. Therefore, this study identified many significant genes associated with extracellular matrix expansion and inflammatory mechanism which may be the novel biomarker and target candidates in IgAN. PeerJ Inc. 2019-07-19 /pmc/articles/PMC6645034/ /pubmed/31355054 http://dx.doi.org/10.7717/peerj.7067 Text en ©2019 Miraji et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited. |
spellingShingle | Bioinformatics Miraji, Mohammed Khamis Cheng, Yichun Ge, Shuwang Xu, Gang Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis |
title | Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis |
title_full | Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis |
title_fullStr | Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis |
title_full_unstemmed | Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis |
title_short | Identification of primary genes in glomeruli compartment of immunoglobulin A nephropathy by bioinformatic analysis |
title_sort | identification of primary genes in glomeruli compartment of immunoglobulin a nephropathy by bioinformatic analysis |
topic | Bioinformatics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6645034/ https://www.ncbi.nlm.nih.gov/pubmed/31355054 http://dx.doi.org/10.7717/peerj.7067 |
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