ArticleFrontiers in genetics2018
Dynamic Changes in the Global MicroRNAome and Transcriptome Identify Key Nodes Associated With Ovarian Development in Chickens.
Article in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- MiRNAs in Poultry Health and Production: Progress and Challenges.Animals : an open access journal from MDPI · 2025Review
- circ_0000132 Regulates Chicken Granulosa Cell Proliferation Apoptosis and E2/P4 Synthesis via miR-206 E2F5 Signaling.International journal of molecular sciences · 2025Article
- Dissection of the gene regulatory network underlying sexual maturity divergence in Jining Bairi chickens through integrated RNA-seq and WGCNA analysis.Poultry science · 2025Article
- Cross-species regulatory network analysis identifies FOXO1 as a driver of ovarian follicular recruitment.Scientific reports · 2024Article
- The first chicken oocyte nucleus whole transcriptomic profile defines the spectrum of maternal mRNA and non-coding RNA genes transcribed by the lampbrush chromosomes.Nucleic acids research · 2024Article
- Expression of steroidogenesis pathway genes in cumulus cells from women with diminished ovarian reserve after gonadotropin administration: A case-control study.International journal of reproductive biomedicine · 2024Article
- miRNA profiling of chicken follicles during follicular development.Scientific reports · 2024Article
- Article
- gga-miR-449b-5p Regulates Steroid Hormone Synthesis in Laying Hen Ovarian Granulosa Cells by Targeting the IGF2BP3 Gene.Animals : an open access journal from MDPI · 2022Article
- miR-458b-5p regulates ovarian granulosa cells proliferation through Wnt/β-catenin signaling pathway by targeting catenin beta-1.Animal bioscience · 2021Article
- Common Gene Modules Identified for Chicken Adiposity by Network Construction and Comparison.Frontiers in genetics · 2020Article
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The analysis of gene expression patterns during ovarian follicle development will advance our understanding of avian reproductive physiology and make it possible to improve laying performance. To gain insight into the molecular regulation of ovarian development, a systematic profiling of miRNAs and mRNAs at four key stages was conducted, using ovarian tissues from hens at 60 days of age (A), 100 days (B), 140 days-not yet laying (C), and 140 days-laying (D). Comparisons of consecutive stages yielded 73 differentially expressed miRNAs (DEMs) (14 for B vs. A, 8 for C vs. B, and 51 for D vs. C) and 2596 differentially expressed genes (DEGs) (51 for B vs. A, 20 for C vs. B, and 2579 for D vs. C). In addition, 174 DEMs (22 for C vs. A, 74 for D vs. A, and 78 for D vs. B) and 3205 DEGs (118 for C vs. A, 2284 for D vs. A, and 2882 for D vs. B) were identified between nonconsecutive stages. Some DEGs are involved in the Wnt and TGF-beta signaling pathways, which are known to affect ovarian development and ovulation. An integrative analysis of the miRNA and mRNA profiles identified 3166 putative miRNA-mRNA regulatory pairs containing 84 DEMs and 1047 DEGs. Functional annotation of the networks provides strong evidence that the miRNA regulatory networks may play vital roles in ovarian development and ovulation. Ten DEMs and 10 genes were validated by real-time quantitative PCR. The candidate miRNA-mRNA pairs gga-miR-200a-3p-
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