Bioinformatics analysis of gene expression microarray in lupus nephritis
Objective To explore the potential pathogenesis of lupus nephritis(LN)with bioinformatics method.Methods The gene expression profiles of normal kidney tissue and LN kidney tissue were obtained by GEO database.The gene expression in the two kinds of tissues was analyzed look for differential genes.En...
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Editorial Department of Journal of Clinical Nephrology
2020-01-01
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| Series: | Linchuang shenzangbing zazhi |
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| Online Access: | http://www.lcszb.com/thesisDetails?columnId=57907326&Fpath=home&index=0 |
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| author | JIANG Qiu-zhu YANG Hui ZHOU Xiao-shuang |
| author_facet | JIANG Qiu-zhu YANG Hui ZHOU Xiao-shuang |
| author_sort | JIANG Qiu-zhu |
| collection | DOAJ |
| description | Objective To explore the potential pathogenesis of lupus nephritis(LN)with bioinformatics method.Methods The gene expression profiles of normal kidney tissue and LN kidney tissue were obtained by GEO database.The gene expression in the two kinds of tissues was analyzed look for differential genes.Enrichment analysis of the differential genes in the progression of LN were performed by DAVID database,and the differential genes were visualized analytically by STRING database and Cytoscape.Results 146 up-regulated genes and 28 down-regulated genes were screened out.In terms of cellular pathway,differential genes are mainly involved in type I interferon signaling pathway;in cell localization,differential genes are mainly distributed in extracellular bodies;in molecular function,differential genes are mainly related to MHC class II receptor activity.KEGG analysis showed that the differential genes were associated with the signaling pathways for influenza A virus infection,Staphylococcus aureus infection,herpes simplex virus infection,leishmaniasis and asthma.By screening it was found that IFI35,MX2,OAS3,IFI6,IRF7,OAS2,IFIT2,RSAD2,OAS1,MX1 are the core genes in the interaction network of proteins related to LN risk.Conclusions Through the analysis of the data set,the key genes in the progression of LN were found by using bioinformatics method,which provided the basis for finding some valuable LN markers. |
| format | Article |
| id | doaj-art-a8605b96c7bf48d5b68f574f27f60da0 |
| institution | OA Journals |
| issn | 1671-2390 |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Department of Journal of Clinical Nephrology |
| record_format | Article |
| series | Linchuang shenzangbing zazhi |
| spelling | doaj-art-a8605b96c7bf48d5b68f574f27f60da02025-08-20T02:28:54ZzhoEditorial Department of Journal of Clinical NephrologyLinchuang shenzangbing zazhi1671-23902020-01-012077577957907326Bioinformatics analysis of gene expression microarray in lupus nephritisJIANG Qiu-zhuYANG HuiZHOU Xiao-shuangObjective To explore the potential pathogenesis of lupus nephritis(LN)with bioinformatics method.Methods The gene expression profiles of normal kidney tissue and LN kidney tissue were obtained by GEO database.The gene expression in the two kinds of tissues was analyzed look for differential genes.Enrichment analysis of the differential genes in the progression of LN were performed by DAVID database,and the differential genes were visualized analytically by STRING database and Cytoscape.Results 146 up-regulated genes and 28 down-regulated genes were screened out.In terms of cellular pathway,differential genes are mainly involved in type I interferon signaling pathway;in cell localization,differential genes are mainly distributed in extracellular bodies;in molecular function,differential genes are mainly related to MHC class II receptor activity.KEGG analysis showed that the differential genes were associated with the signaling pathways for influenza A virus infection,Staphylococcus aureus infection,herpes simplex virus infection,leishmaniasis and asthma.By screening it was found that IFI35,MX2,OAS3,IFI6,IRF7,OAS2,IFIT2,RSAD2,OAS1,MX1 are the core genes in the interaction network of proteins related to LN risk.Conclusions Through the analysis of the data set,the key genes in the progression of LN were found by using bioinformatics method,which provided the basis for finding some valuable LN markers.http://www.lcszb.com/thesisDetails?columnId=57907326&Fpath=home&index=0Lupus nephritisBioinformaticsGene |
| spellingShingle | JIANG Qiu-zhu YANG Hui ZHOU Xiao-shuang Bioinformatics analysis of gene expression microarray in lupus nephritis Linchuang shenzangbing zazhi Lupus nephritis Bioinformatics Gene |
| title | Bioinformatics analysis of gene expression microarray in lupus nephritis |
| title_full | Bioinformatics analysis of gene expression microarray in lupus nephritis |
| title_fullStr | Bioinformatics analysis of gene expression microarray in lupus nephritis |
| title_full_unstemmed | Bioinformatics analysis of gene expression microarray in lupus nephritis |
| title_short | Bioinformatics analysis of gene expression microarray in lupus nephritis |
| title_sort | bioinformatics analysis of gene expression microarray in lupus nephritis |
| topic | Lupus nephritis Bioinformatics Gene |
| url | http://www.lcszb.com/thesisDetails?columnId=57907326&Fpath=home&index=0 |
| work_keys_str_mv | AT jiangqiuzhu bioinformaticsanalysisofgeneexpressionmicroarrayinlupusnephritis AT yanghui bioinformaticsanalysisofgeneexpressionmicroarrayinlupusnephritis AT zhouxiaoshuang bioinformaticsanalysisofgeneexpressionmicroarrayinlupusnephritis |