Literature DB >> 27324248

Identification of the key regulating genes of diminished ovarian reserve (DOR) by network and gene ontology analysis.

Maryam Pashaiasl1,2,3, Mansour Ebrahimi4, Esmaeil Ebrahimie5,6,7,8.   

Abstract

Diminished ovarian reserve (DOR) is one of the reasons for infertility that not only affects both older and young women. Ovarian reserve assessment can be used as a new prognostic tool for infertility treatment decision making. Here, up- and down-regulated gene expression profiles of granulosa cells were analysed to generate a putative interaction map of the involved genes. In addition, gene ontology (GO) analysis was used to get insight intol the biological processes and molecular functions of involved proteins in DOR. Eleven up-regulated genes and nine down-regulated genes were identified and assessed by constructing interaction networks based on their biological processes. PTGS2, CTGF, LHCGR, CITED, SOCS2, STAR and FSTL3 were the key nodes in the up-regulated networks, while the IGF2, AMH, GREM, and FOXC1 proteins were key in the down-regulated networks. MIRN101-1, MIRN153-1 and MIRN194-1 inhibited the expression of SOCS2, while CSH1 and BMP2 positively regulated IGF1 and IGF2. Ossification, ovarian follicle development, vasculogenesis, sequence-specific DNA binding transcription factor activity, and golgi apparatus are the major differential groups between up-regulated and down-regulated genes in DOR. Meta-analysis of publicly available transcriptomic data highlighted the high coexpression of CTGF, connective tissue growth factor, with the other key regulators of DOR. CTGF is involved in organ senescence and focal adhesion pathway according to GO analysis. These findings provide a comprehensive system biology based insight into the aetiology of DOR through network and gene ontology analyses.

Entities:  

Keywords:  Biological processes; Diminished ovarian reserve; Granulosa cells; Interaction network; Molecular functions

Mesh:

Year:  2016        PMID: 27324248     DOI: 10.1007/s11033-016-4025-8

Source DB:  PubMed          Journal:  Mol Biol Rep        ISSN: 0301-4851            Impact factor:   2.316


  40 in total

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Journal:  Hum Reprod       Date:  2012-01-13       Impact factor: 6.918

7.  Lack of Socs2 expression causes the high-growth phenotype in mice.

Authors:  S Horvat; J F Medrano
Journal:  Genomics       Date:  2001-03-01       Impact factor: 5.736

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Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

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Authors:  Stephanie A Pangas; Xiaohui Li; Elizabeth J Robertson; Martin M Matzuk
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Journal:  PLoS One       Date:  2013-03-11       Impact factor: 3.240

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3.  Gene network analysis to determine the effect of hypoxia-associated genes on brain damages and tumorigenesis using an avian model.

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