WEI LIANG1,2,*, QIANG LUO1,2,#, ZONGWEI ZHANG1,2,#, KEJU YANG1,2,3, ANKANG YANG1,2, QINGJIA CHI4, HUAN HU5
BIOCELL, Vol.46, No.8, pp. 1989-2002, 2022, DOI:10.32604/biocell.2022.019300
Abstract Diabetic nephropathy (DN) is a common microvascular complication that easily leads to end-stage renal disease. It
is important to explore the key biomarkers and molecular mechanisms relevant to diabetic nephropathy (DN). We used highthroughput RNA sequencing to obtain the genes related to DN glomerular tissues and healthy glomerular tissues of mice.
Then we used LIMMA to analyze differentially expressed genes (DEGs) between DN and non-diabetic glomerular
samples. And we performed KEGG, gene ontology functional (GO) enrichment, and gene set enrichment analysis to
reveal the signaling pathway of the disease. The CIBERSORT algorithm based on support vector machine was used to… More >
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