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Identification of C3 as a therapeutic target for diabetic nephropathy by bioinformatics analysis

10 Aug 2020

Abstract excerpt

The pathogenesis of diabetic nephropathy is not completely understood, and the effects of existing treatments are not satisfactory. Various public platforms already contain extensive data for deeper bioinformatics analysis. From the GSE30529 dataset based on diabetic nephropathy tubular samples, we identified 345 genes through differential expression analysis and weighted gene coexpression correlation network...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 32778679
DOI: 10.1038/s41598-020-70540-x

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