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

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. RESU...

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Autores principales: Bahrami, Abolfazl, Miraie-Ashtiani, Seyed Reza, Sadeghi, Mostafa, Najafi, Ali, Ranjbar, Reza
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735818/
https://www.ncbi.nlm.nih.gov/pubmed/29258623
http://dx.doi.org/10.1186/s13048-017-0371-y
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author Bahrami, Abolfazl
Miraie-Ashtiani, Seyed Reza
Sadeghi, Mostafa
Najafi, Ali
Ranjbar, Reza
author_facet Bahrami, Abolfazl
Miraie-Ashtiani, Seyed Reza
Sadeghi, Mostafa
Najafi, Ali
Ranjbar, Reza
author_sort Bahrami, Abolfazl
collection PubMed
description 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13048-017-0371-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-57358182017-12-21 Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression Bahrami, Abolfazl Miraie-Ashtiani, Seyed Reza Sadeghi, Mostafa Najafi, Ali Ranjbar, Reza J Ovarian Res Research 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. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13048-017-0371-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-12-19 /pmc/articles/PMC5735818/ /pubmed/29258623 http://dx.doi.org/10.1186/s13048-017-0371-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Bahrami, Abolfazl
Miraie-Ashtiani, Seyed Reza
Sadeghi, Mostafa
Najafi, Ali
Ranjbar, Reza
Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression
title Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression
title_full Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression
title_fullStr Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression
title_full_unstemmed Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression
title_short Dynamic modeling of folliculogenesis signaling pathways in the presence of miRNAs expression
title_sort dynamic modeling of folliculogenesis signaling pathways in the presence of mirnas expression
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5735818/
https://www.ncbi.nlm.nih.gov/pubmed/29258623
http://dx.doi.org/10.1186/s13048-017-0371-y
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