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pmid:26484132

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

Genomics data · 2014 doi:10.1016/j.gdata.2014.10.009

Paper

complete

Experiment

partial

Data

partial

Analysis

partial

Execution

absent

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title
Transcriptome analysis of bladder biopsy from interstitial cystitis/bladder pain syndrome patients.
doi
10.1016/j.gdata.2014.10.009
pmid
26484132
authors array · 7 items
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Stephen J Walker
[1]
Marc Colaco
[2]
David S Koslov
[3]
Tristan Keys
[4]
Robert J Evans
[5]
Gopal H Badlani
[6]
Karl-Erik Andersson
journal
Genomics data
year
2014
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.
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Further statistical analyses to measure differentially expressed transcripts (DETs) unique to each phenotype were then performed by applying Student's t-test (@fold change ≥ 1.5; p ≤ 0.05) for the pair-wise comparison (GeneSifter© Analysis Edition 4.0) using Benjamini and Hochberg FDR correction [7].
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Further statistical analyses to measure differentially expressed transcripts (DETs) unique to each phenotype were then performed by applying Student's t-test (@fold change ≥ 1.5; p ≤ 0.05) for the pair-wise comparison (GeneSifter© Analysis Edition 4.0) using Benjamini and Hochberg FDR correction [7].
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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.
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Correlation of gene expression with bladder capacity in interstitial cystitis/bladder pain syndrome
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