The key candidate genes in tubulointerstitial injury of chronic kidney diseases patients as determined by bioinformatic analysis
W Wang, J Shen, C Qi, J Pu, H Chen… - Cell biochemistry and …, 2020 - Wiley Online Library
Pathologic changes such as renal tubular atrophy and interstitial fibrosis are common in
chronic kidney disease (CKD), which in turn, leads to loss of renal function. The aims of
present study were to screen critical genes with tubulointerstitial lesion in CKD by weighted
gene correlation network analysis (WGCNA). Gene expression data including 169
tubulointerstitial samples of CKD and 21 controls downloaded from Gene Expression
Omnibus (GEO) database. Totally 294 differentially expressed genes (DEGs) were …
chronic kidney disease (CKD), which in turn, leads to loss of renal function. The aims of
present study were to screen critical genes with tubulointerstitial lesion in CKD by weighted
gene correlation network analysis (WGCNA). Gene expression data including 169
tubulointerstitial samples of CKD and 21 controls downloaded from Gene Expression
Omnibus (GEO) database. Totally 294 differentially expressed genes (DEGs) were …
The Key Candidate Genes in Tubulointerstitial Injury of Chronic Kidney Diseases (CKD) Patients as Determined by Bioinformatic Analysis
W Wang, J Shen, Y Pan, C Qi, S Liang, Q Kuai, Z Zuo - 2019 - researchsquare.com
Background: Tubulointerstitial injury (TIL) is common in chronic kidney disease (CKD),
which in turn, leads to loss of renal function. The aims of present study were to screen critical
genes with tubulointerstitial lesion in CKD by weighted gene correlation network analysis
(WGCNA). Methods: GSE104954 gene expression data downloaded from GEO database
were used for analysis for differential expression genes (DEGs); Meanwhile, 90 expression
data of tubulointerstitial samples in GSE47185 combined with clinic information were …
which in turn, leads to loss of renal function. The aims of present study were to screen critical
genes with tubulointerstitial lesion in CKD by weighted gene correlation network analysis
(WGCNA). Methods: GSE104954 gene expression data downloaded from GEO database
were used for analysis for differential expression genes (DEGs); Meanwhile, 90 expression
data of tubulointerstitial samples in GSE47185 combined with clinic information were …
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