Gene expression profile for ectopic vs. eutopic endometrium
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ABSTRACT: Endometriosis is a common gynecological disorder characterized by pain and infertility, where the lesions disseminate everywhere in the body with a preference for the pelvis. In that, it could be regarded as a âbenign metastatic diseaseâ, since its issue is not fatal. However, the molecular bases of this intriguing clinical condition are not well known. The objective of this study is to characterize the transcriptome differences between eutopic vs ectopic endometrium with a special interest in pathways involved in cancerogenesis. We performed two hybridizations in technical replicate on highly specific long oligonucleotides microarrays (NimbleGenâ¢), with cDNA prepared from 6-patients pools, where the same patient provided both eutopic and ectopic endometrium (endometriomas). In order to confirm the expression microarrays data, qRT-PCR validation was performed on 12 individuals for 20 genes. Over 8,000 transcripts were significantly modified (more than twice) in the lesions corresponding to 5,600 down- or up-regulated genes. These were clustered through DAVID Bioinformatics Resources into 55 functional groups. The data are presented in a detailed and visual way on 24 KEGG pathways implemented with induction ratios for each differentially expressed gene. An outstanding control of the cell cycle and a very specific modulation of the HOX genes were observed and provide some new evidence on why endometriosis only very rarely degenerates into cancer. The study constitutes a noteworthy update of gene profiling in endometriosis, by delivering the most complete and reliable list of dysregulated genes to date. Keywords: Gene expression microarrays We performed two hybridizations in technical replicate on highly specific long oligonucleotides microarrays (NimbleGenâ¢), with cDNA prepared from 6-patients pools, where the same patient provided both eutopic and ectopic endometrium (endometriomas)
ORGANISM(S): Homo sapiens
SUBMITTER: Daniel Vaiman
PROVIDER: E-GEOD-12768 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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