Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression

(2017) Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression. Journal of Ovarian Research. p. 9. ISSN 1757-2215

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Abstract

Background: TEK signaling plays a very important role in folliculogenesis. It activates Ras/ERK/MYC, PI3K/AKT/mTORC1 and ovarian steroidogenesis activation pathways. These are the main pathways for cell growth, differentiation, migration, adhesion, proliferation, survival and protein synthesis. Results: TEK signaling on each of the two important pathways where levels of pERK, pMYC, pAkt, pMCL1 and pEIF4EBP1 are increased in dominant follicles and pMYC is decreased in dominant follicles. Over activation of ERK and MYC which are the main cell growth and proliferation and over activation of Akt, MCl1, mTORC1 and EIF4EBP1 which are the main cell survival and protein synthesis factors act as promoting factors for folliculogenesis. In case of over expression of hsa-miR-30d-3p and hsa-miR-451a, MYC activity level is considerably increased in subordinate follicles. Our simulation results show that in the presence of has-miR-548v and bta-miR-22-3p, downstream factors of pathways are inhibited. Conclusions: Our work offers insight into the design of natural biological procedures and makes predictions that can guide further experimental studies on folliculogenesis pathways. Moreover, it defines a simple signal processing unit that may be useful for engineering synthetic biology and genes circuits to carry out cell-based computation.

Item Type: Article
Keywords: Dynamic modeling Folliculogenesis TEK signaling Ras/ERK/MYC PI3K/AKT/mTORC1 myc protein stability epidermal-growth-factor systems biology approach c-myc phosphatidylinositol 3-kinase posttranscriptional control phosphoinositide 3-kinase tyrosine-kinase breast-cancer tie2 receptor Reproductive Biology
Divisions:
Page Range: p. 9
Journal or Publication Title: Journal of Ovarian Research
Journal Index: ISI
Volume: 10
Identification Number: https://doi.org/10.1186/s13048-017-0371-y
ISSN: 1757-2215
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/4073

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