Journal
AMERICAN JOURNAL OF PHYSIOLOGY-RENAL PHYSIOLOGY
Volume 312, Issue 4, Pages F806-F817Publisher
AMER PHYSIOLOGICAL SOC
DOI: 10.1152/ajprenal.00653.2016
Keywords
polycystic kidney disease; injury repair; Meta-analysis; RNASeq; expression signature; literature mining
Categories
Funding
- People Program (Marie Curie Actions) of the European Union's Seventh Framework Program FP7 under Research Executive Agency [317246]
- Dutch Technology Foundation Stichting Technische Weten-schappen Project, The Netherlands Organization for Scientific Research [11823]
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Polycystic kidney disease (PKD) is a major cause of end-stage renal disease. The disease mechanisms are not well understood and the pathogenesis toward renal failure remains elusive. In this study, we present the first RNASeq analysis of a Pkd1-mutant mouse model in a combined meta-analysis with other published PKD expression profiles. We introduce the PKD Signature, a set of 1,515 genes that are commonly dysregulated in PKD studies. We show that the signature genes include many known and novel PKD-related genes and functions. Moreover, genes with a role in injury repair, as evidenced by expression data and/or automated literature analysis, were significantly enriched in the PKD Signature, with 35% of the PKD Signature genes being directly implicated in injury repair. NF-kappa B signaling, epithelial-mesenchymal transition, inflammatory response, hypoxia, and metabolism were among the most prominent injury or repairrelated biological processes with a role in the PKD etiology. Novel PKD genes with a role in PKD and in injury were confirmed in another Pkd1-mutant mouse model as well as in animals treated with a nephrotoxic agent. We propose that compounds that can modulate the injury-repair response could be valuable drug candidates for PKD treatment.
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