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Series GSE85932 Query DataSets for GSE85932
Status Public on Jan 01, 2017
Title The peripheral blood transcriptome identifies dysregulation of inflammatory response genes in polycystic ovary syndrome
Organism Homo sapiens
Experiment type Non-coding RNA profiling by array
Summary Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women resulting in ovulation failure and other metabolic problems. However, the underlying mechanisms of it remain largely uncertain due to its complexity of clinical manifestations. Since PCOS is believed as a systemic disorder involved endocrine, metabolism, immune system and many organs, we therefore want to know what happen in the peripheral blood of patients with PCOS. To this purpose, gene expression patterns of peripheral blood from 10 PCOS patients and 10 healthy women were profiled by microarray. The significance analysis of microarray (SAM) software was employed to screen the differentially expressed genes (DEGs) and gene ontology (GO) was used for functional enrichment analysis. Also, quantitative reverse-transcription PCR (qRT-PCR) was performed to confirm the results from microarray. 181 DEGs with a fold change >2.0 and q-value <0.05 were identified between the groups. Of these genes, 149 were up-regulated and 32 down-regulated in PCOS. Importantly, 14 genes associated with inflammatory response pathway were highly enriched in PCOS. Furthermore, qPCR assays validated the dysregulated inflammatory response genes. Our observation reinforces the hypothesis that PCOS is characterized by the presence of systemic inflammatory changes and inflammation is implicated in the pathogenesis of this entity. Further elucidation of the aberrant expression of inflammation-related genes how to affect the pathogenesis of PCOS may lead to the development of novel preventative and therapeutic strategies.
 
Overall design The dual-color approach was adopted in our study, 8 PCOS samples and 8 healthy controls labeled with Cy3, pooled control labeled with Cy5 , respectively.
 
Contributor(s) Su N, Ma J, Feng D, Zhou S, Li Z, Zhou W, Deng H, Liang J, Yang X, Zhang Y, Liu F, Zhang L
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Submission date Aug 23, 2016
Last update date Jan 02, 2017
Contact name Liang Zhang
Organization name Guangdong Women and Children Hospital
Department Translational Medicine Research Center
Street address Xingnan Road 521
City Guangzhou
State/province Guangdong
ZIP/Postal code 510010
Country China
 
Platforms (1)
GPL22361 Agilent-071342 LncRNA [Feature number version]
Samples (16)
GSM2287977 PCOS_rep1
GSM2287978 PCOS_rep2
GSM2287979 PCOS_rep3
Relations
BioProject PRJNA339781

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE85932_RAW.tar 91.3 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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