Transcriptome analysis of bladder biopsy from interstitial cystitis/bladder pain syndrome patients

Stephen J Walker; Marc Colaco; David S Koslov; Tristan Keys; Robert J Evans; Gopal H Badlani; Karl-Erik Andersson

doi:10.1016/j.gdata.2014.10.009

Transcriptome analysis of bladder biopsy from interstitial cystitis/bladder pain syndrome patients

Genom Data. 2014 Oct 20:2:366-8. doi: 10.1016/j.gdata.2014.10.009. eCollection 2014 Dec.

Authors

Stephen J Walker¹, Marc Colaco¹, David S Koslov¹, Tristan Keys¹, Robert J Evans², Gopal H Badlani², Karl-Erik Andersson³

Affiliations

¹ Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA ; Department of Urology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
² Department of Urology, Wake Forest School of Medicine, Winston-Salem, NC, USA.
³ Wake Forest Institute for Regenerative Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA.

Abstract

Interstitial cystitis and bladder pain syndrome (IC/BPS) are terms used to describe a heterogeneous chronic pelvic and bladder pain disorder. Despite its significant prevalence, the disease etiology is not well understood and providing diagnosis and treatment can be challenging. In our study, published recently in the Journal of Urology (Colaco et al., 2014), we describe the use of microarrays as a tool to characterize IC/BPS and to determine if there are clinical factors that correlate with gene expression. This data-in-brief article describes the methodology for that study, including data analysis, in further detail. Deposited data can be found in the Gene Expression Omnibus (GEO) database: GSE57560.

Keywords: Biomarker profiling; Gene expression; Interstitial cystitis.