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Connectivity Mapping Identifies BI-2536 as a Potential Drug to Treat Diabetic Kidney Disease

16 Oct 2020

Abstract excerpt

Diabetic kidney disease (DKD) remains the most common cause of kidney failure, and the treatment options are insufficient. Here, we used a connectivity mapping approach to first collect 15 gene expression signatures from 11 DKD-related published independent studies. Then, by querying the Library of Integrated Network-based Cellular Signatures (LINCS) L1000 data set, we identified drugs and other bioactive small...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 33067313
DOI: 10.2337/db20-0580

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