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Identification of key genes and pathways in diabetic nephropathy by bioinformatics analysis

10 Dec 2018

Abstract excerpt

AIMS/INTRODUCTION: The aim of the present study was to identify candidate differentially expressed genes (DEGs) and pathways using bioinformatics analysis, and to improve our understanding of the cause and potential molecular events of diabetic nephropathy. MATERIALS AND METHODS: Two cohort profile datasets (GSE30528 and GSE33744) were integrated and used for deep analysis. We sorted DEGs and analyzed...

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Chronic Kidney Disease and Diabetes
Ferroptosis and cancer prognosis
Renal Diseases and Glomerulopathies

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 30536626
DOI: 10.1111/jdi.12986

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