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Series GSE16708 Query DataSets for GSE16708
Status Public on Feb 25, 2010
Title Gene expression analysis of ovarian serous adenocarcinoma cell lines and tumors
Organism Homo sapiens
Experiment type Expression profiling by array
Summary A variety of human cancers demonstrate alterations in microRNA expression. We hypothesized that regulatory defects in microRNAs play a central early role in organizing the molecular changes involved in ovarian cancer (OvCa). Using both gene arrays and deep sequencing, we comprehensively profiled mRNA and microRNA expression, respectively, in human serous epithelial OvCa cell lines, serous tumors, and short-term primary cultures of normal ovarian surface epithelium (NOSE). We expected that over-expression of a specific microRNA would lead to lower expression of its mRNA targets, and under-expression of a specific microRNA would lead to higher expression of its target genes. Using our expression data in conjunction with established in silico algorithms, we found putative microRNA:mRNA functional pairs.

Keywords: two group comparison
 
Overall design We generated gene expression profiles of a panel of seven OvCa serous cell lines, 17 serous tumors, and nine independent normal ovarian surface epithelium (NOSE) cultures. We defined genes that were high or low in both cell lines and tumors relative to NOSE.
 
Contributor(s) Creighton C, Matzuk M, Gunaratne P, Anderson M, Nagaraja A, Fountain M
Citation(s) 20179198
Submission date Jun 18, 2009
Last update date Aug 16, 2018
Contact name Chad Creighton
E-mail(s) creighto@bcm.tmc.edu
Organization name Baylor College of Medicine
Department Biostatistics, Ducan Cancer Center
Street address One Baylor Plaza, Mail Stop: BCM305
City Houston
State/province TX
ZIP/Postal code 77030
Country USA
 
Platforms (1)
GPL6947 Illumina HumanHT-12 V3.0 expression beadchip
Samples (33)
GSM418624 NOSE cell culture, biological rep1
GSM418625 NOSE cell culture, biological rep2
GSM418626 NOSE cell culture, biological rep3
This SubSeries is part of SuperSeries:
GSE16709 Ovarian serous cancer
Relations
BioProject PRJNA122689

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
GSE16708_RAW.tar 28.0 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table

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