 |
 |
GEO help: Mouse over screen elements for information. |
|
| 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)
|
|
| Relations |
| BioProject |
PRJNA151397 |
| Supplementary file |
Size |
Download |
File type/resource |
| GSE34526_RAW.tar |
41.9 Mb |
(http)(custom) |
TAR (of CEL) |
| Processed data included within Sample table |
|
|
|
|
 |
Less...
More...