Identification of endometriosis‐related genes by representational difference analysis of cDNA

Qi Chen, Chiyuan Zhang, Ying-Han Chen, YingHan Chen, Jie Lou, Danbo Wang
The Australian & New Zealand journal of obstetrics & gynaecology · 2012 · vol. 52(2) , pp. 140–145 · doi:10.1111/j.1479-828x.2011.01405.x · PMID:22276910 · W2050180210
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Representational difference analysis identified ten upregulated genes in eutopic endometria of endometriosis patients, with MAT2A showing significantly higher mRNA and protein levels compared to controls.

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Abstract

BACKGROUND: Accumulated evidence reveals that abnormally expressed genes in eutopic endometrium of endometriosis play a critical role in the pathogenesis of endometriosis. AIMS: Identification of endometriosis-related genes for further revealing the pathogenesis of endometriosis and offering the basis for developing the molecular-targeted diagnosis and therapy of endometriosis. METHODS: Forty women with endometriosis and forty control women without endometriosis during their secretory phase were selected for this study. cDNA representational difference analysis (cDNA-RDA) was performed to screen the up-regulated genes in eutopic endometrium samples of endometriosis (n = 10) compared with the controls (n = 10). To validate the results, MAT2A, the most abundantly expressed gene, was selected to detect mRNA and protein levels between eutopic endometrium of endometriosis (n = 40) and controls (n = 40) using immunohistochemistry, real-time fluorescent quantitative PCR and Western blotting. RESULTS: Ten up-regulated genes were identified in eutopic endometria of endometriosis compared with controls. Among these genes, COX-2, BRAF, NRAS and CFL1 have already been reported to be associated with the endometriosis in previous studies. MAT2A, SEPT9, ATAD3A and CADM2 have been reported to be involved in other diseases but not in endometriosis. NAA15 and CCDC21 have not reported in any diseases. Further study showed that MAT2A protein was localised in both endometrial glandular and stromal cells. Compared with controls, the mRNA and protein levels of MAT2A were significantly higher in eutopic endometrium of endometriosis (P < 0.05). CONCLUSIONS: cDNA-RDA can be used to effectively identify the endometriosis-related genes, which can provide novel experimental data and further understand the pathogenesis of endometriosis.

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Condition tags

endometriosis

MeSH descriptors

DNA, Complementary Endometriosis Acetyltransferases Acetyltransferases Acetyltransferases Adenosine Triphosphatases Adenosine Triphosphatases Adenosine Triphosphatases Adult ATPases Associated with Diverse Cellular Activities Cell Adhesion Molecules Cell Adhesion Molecules Cell Adhesion Molecules Cofilin 1 Cofilin 1 Cofilin 1 Cyclooxygenase 2 Cyclooxygenase 2 Cyclooxygenase 2 DNA, Complementary

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