Systematic analysis of a novel human renal glomerulus-enriched gene expression dataset

Area of Science:

• Nephrology and Genomics
• Molecular Biology

Background:

• Glomerular diseases are a leading cause of chronic renal failure.
• Specific gene expression in the renal glomerulus is crucial for its function.

Purpose of the Study:

• To identify novel human genes involved in glomerular function.
• To create a glomerulus-enriched gene expression dataset (REGGED).

Main Methods:

• Comparative gene expression profiling of human glomeruli and tubulointerstitium from living kidney donors.
• Utilized Affymetrix HG-U133A arrays.
• Validated novel gene expression using qRT-PCR.

Main Results:

• Generated REGGED dataset identifying 677 glomerulus-overrepresented genes.
• Validated known glomerular genes within the dataset.
• Discovered novel biological processes, including axon guidance, in healthy glomeruli.
• Found differential regulation of ROBO2 mRNA in diabetic nephropathy.

Conclusions:

• Identified novel transcripts predominantly expressed in the human glomerulus.
• REGGED dataset facilitates the discovery of molecules and processes in glomerular biology and disease.
• Axon guidance pathway identified as relevant in healthy and diseased glomeruli.