Improved elucidation of biological processes linked to diabetic nephropathy by single probe-based microarray data analysis.

ABSTRACT:

Background

Diabetic nephropathy (DN) is a complex and chronic metabolic disease that evolves into a progressive fibrosing renal disorder. Effective transcriptomic profiling of slowly evolving disease processes such as DN can be problematic. The changes that occur are often subtle and can escape detection by conventional oligonucleotide DNA array analyses.

Methodology/principal findings

We examined microdissected human renal tissue with or without DN using Affymetrix oligonucleotide microarrays (HG-U133A) by standard Robust Multi-array Analysis (RMA). Subsequent gene ontology analysis by Database for Annotation, Visualization and Integrated Discovery (DAVID) showed limited detection of biological processes previously identified as central mechanisms in the development of DN (

SUBMITTER: Cohen CD 

PROVIDER: S-EPMC2493035 | biostudies-literature | 2008 Aug

REPOSITORIES: biostudies-literature