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Series GSE34526 Query DataSets for GSE34526
Status Public on Nov 06, 2012
Title Differential Gene Expression in Granulosa Cells from Polycystic Ovary Syndrome Patients with and without Insulin Resistance: Identification of Susceptibility Gene Sets through Network Analysis
Organism Homo sapiens
Experiment type Expression profiling by array
Summary Polycystic ovary Syndrome (PCOS) is a heterogeneous endocrine disorder that shows evidence of genetic predidposition among affected individuals. We have utilized the Microarray data from granulosa cells of normal and PCOS women for network construction.
 
Overall design Human granulosa cells were isolated from ovarian aspirates from normal and PCOS women undergoing IVF and for each sample, RNA was extracted and hybridized to an Affymetrix GeneChip.
 
Contributor(s) Kaur S, Archer KJ, Devi MG, Kriplani A, Strauss JF, Singh R
Citation(s) 22904171
Submission date Dec 19, 2011
Last update date Mar 25, 2019
Contact name Rita Singh
E-mail(s) ghrika_s@yahoo.com
Organization name University of Delhi
Department Department of Zoology
Lab Molecular Reproduction
Street address Department of Zoology
City Delhi
ZIP/Postal code 110007
Country India
 
Platforms (1)
GPL570 [HG-U133_Plus_2] Affymetrix Human Genome U133 Plus 2.0 Array
Samples (10)
GSM850527 Normal, biological rep 1
GSM850528 Normal, biological rep 2
GSM850529 Normal, biological rep 3
Relations
BioProject PRJNA151397

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
GSE34526_RAW.tar 41.9 Mb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table

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