Identification of Novel Targets of Diabetic Nephropathy Using RNA-seq
Transcriptomics Dataset
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General Information
AccessionGSE87899
TitleIdentification of Novel Targets of Diabetic Nephropathy Using RNA-seq
DescriptionDiabetic nephropathy (DN) is a major complication of type 1 and type 2 diabetes and may lead to kidney failure. Understanding how diabetes regulates transcriptome dynamics in DN is important for understanding the biology of the disease and for guiding development of new treatments. In this study, we identified a set of unique biomarkers and canonical pathways that may hold the key to understanding mechanisms of DN pathobiology with value for clinical translation. Our data suggest that mitochondrial dysfunction, genotoxicity and oxidative stress are principal events in DN and that P78-PEDF, an active PEDF peptide, holds promise for its management.
Landing Pagehttps://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE87899
RepositoryGene Expression Omnibus
Tools used to analyze the dataset
Dataset Accession
ARCHS4
Published September 2017
ARCHS4 provides access to gene counts from HiSeq 2000 and HiSeq 2500 platforms for human and mouse experiments from GEO ...
4645
Clustergrammer
Published October 2017
Web-based tool for visualizing and analyzing high-dimensional data as interactive and shareable heatmaps
4645
Canned Analyses generated with the dataset
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Tool Name
Interactive heatmap visualization of RNA-seq dataset GSE87899
ARCHS4, Clustergrammer
Highly interactive web-based heatmap visualization of the top 500 most variable genes in t...
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