Literature DB >> 28450315

miRNA-mRNA network involved in folliculogenesis interactome: systems biology approach.

Abolfazl Bahrami1, Seyed Reza Miraie-Ashtiani2, Mostafa Sadeghi1, Ali Najafi3.   

Abstract

At later phases of folliculogenesis, the mammalian ovarian follicle contains layers of granulosa cells surrounding an antral cavity. To better understand the molecular basis of follicular growth and granulosa cell maturation, we study transcriptome profiling of granulosa cells from small (<5 mm) and large (>10 mm) bovine follicles using simultaneous method of Affymetrix microarrays (24,128 probe sets) and RNA-Seq data sets. This study proposes a computational method to discover the functional miRNA-mRNA regulatory modules, that is, groups of miRNAs and their target mRNAs that are believed to take part cooperatively in post-transcriptional gene regulation under specific conditions. The reconstructed network was named Integrated miRNA-mRNA Bipartite Network. 277 genes and 6 key modules were disclosed through clustering for mRNA master list. The 66 genes are among the genes that belong to at least two modules. All these genes, being involved in at least one of the phenomena, namely cell survival, proliferation, metastasis and apoptosis, have an overexpression pattern (P < 0.01). For miRNA master list, a total of 172 sequences were differentially expressed (P < 0.01) between dominant (large) and each of subordinate (small) follicles. Within the follicle, these miRNAs were predominantly expressed in mural granulosa cells. Finally, predicted and validated targets of these miRNAs enriched in dominant (large) follicles were identified, which are mapped to signaling pathways involved in follicular cell proliferation, steroidogenesis, PI3K/AKT/mTOR and Ras/Raf/MEK/ERK. The identification of miRNAs and their target mRNAs and the construction of their regulatory networks may give new insights into biological procedures.
© 2017 Society for Reproduction and Fertility.

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Year:  2017        PMID: 28450315     DOI: 10.1530/REP-17-0049

Source DB:  PubMed          Journal:  Reproduction        ISSN: 1470-1626            Impact factor:   3.906


  6 in total

1.  Omics Multi-Layers Networks Provide Novel Mechanistic and Functional Insights Into Fat Storage and Lipid Metabolism in Poultry.

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Journal:  Front Genet       Date:  2021-07-07       Impact factor: 4.599

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

Authors:  Abolfazl Bahrami; Seyed Reza Miraie-Ashtiani; Mostafa Sadeghi; Ali Najafi; Reza Ranjbar
Journal:  J Ovarian Res       Date:  2017-12-19       Impact factor: 4.234

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Authors:  Massimo Mallardo; Concetta Ambrosino; Danila Cuomo; Immacolata Porreca; Michele Ceccarelli; David W Threadgill; William T Barrington; Annacristina Petriella; Fulvio D'Angelo; Gilda Cobellis; Francesca De Stefano; Maria N D'Agostino; Mario De Felice
Journal:  Cell Death Discov       Date:  2018-12-05

4.  lncRNA-miRNA-mRNA ceRNA Network Involved in Sheep Prolificacy: An Integrated Approach.

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Journal:  Genes (Basel)       Date:  2022-07-22       Impact factor: 4.141

5.  Curcumin alters distinct molecular pathways in breast cancer subtypes revealed by integrated miRNA/mRNA expression analysis.

Authors:  Snehal Nirgude; Sagar Desai; Bibha Choudhary
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6.  Analysis of protein-protein interaction network based on transcriptome profiling of ovine granulosa cells identifies candidate genes in cyclic recruitment of ovarian follicles.

Authors:  Reza Talebi; Ahmad Ahmadi; Fazlollah Afraz
Journal:  J Anim Sci Technol       Date:  2018-06-11
  6 in total

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