ArticleBMC genomics2022
Comprehensive analysis of differentially expressed profiles of mRNA, lncRNA, and miRNA of Yili geese ovary at different egg-laying stages.
Article in BMC genomics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 17 citations in OpenAlex.
- Multi-omics reveals the pituitary-mediated neuroendocrine mechanisms during the transition from the onset-of-birth to the laying period in Wanxi white geese.Poultry science · 2026Article
- Expression and regulation of lncRNAs in the testes of Yili geese with high and low sperm motility.BMC genomics · 2026Article
- Whole-Transcriptome Sequencing Integrative Analyses Reveal Expression Profiles and ceRNA Regulatory Network of Huoyan Goose Egg Production.Animals : an open access journal from MDPI · 2026Article
- ceRNA regulatory networks reveals gga-miR-30b-5p as a regulator of granulosa cell apoptosis via targeting NR5A2 in atrophic ovaries of broody chickens.Poultry science · 2026Article
- TheCurrent issues in molecular biology · 2025Article
- Construction and Analysis of miRNA-mRNA Interaction Network in Ovarian Tissue of Wanxi White Geese Across Different Breeding Stages.Animals : an open access journal from MDPI · 2024Article
- Long noncoding RNAs and mRNAs profiling in ovary during laying and broodiness in Taihe Black-Bone Silky Fowls (Gallus gallus Domesticus Brisson).BMC genomics · 2024Article
- Differential age-related transcriptomic analysis of ovarian granulosa cells in Kazakh horses.Frontiers in endocrinology · 2024Article
- Genome wide identification and characterization of fertility associated novel CircRNAs as ceRNA reveal their regulatory roles in sheep fecundity.Journal of ovarian research · 2023Article
- Transcriptomic and metabolomic analyses of the ovaries of Taihe black-bone silky fowls at the peak egg-laying and nesting period.Frontiers in genetics · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
Abstract
backgroundThe development of the ovaries is an important factor that affects egg production performance in geese. Ovarian development is regulated by genes that are expressed dynamically and stage-specifically. The transcriptome profile analysis on ovarian tissues of goose at different egg laying stages could provide an important basis for screening and identifying key genes regulating ovarian development.
resultsIn this study, 4 ovary tissues at each breeding period of pre-laying (PP), laying (LP), and ceased-laying period (CP), respectively, with significant morphology difference, were used for RNA extraction and mRNAs, lncRNAs, and miRNAs comparison in Yili geese. CeRNA regulatory network was constructed for key genes screening. A total of 337, 1136, and 525 differentially expressed DE mRNAs, 466, 925, and 742 DE lncRNAs and 258, 1131 and 909 DE miRNAs were identified between PP and LP, between CP and LP, and between CP and PP groups, respectively. Functional enrichment analysis showed that the differentially expressed mRNAs and non-coding RNA target genes were mainly involved in the cell process, cytokine-cytokine receptor interaction, phagosome, calcium signaling pathway, steroid biosynthesis and ECM-receptor interaction. Differential genes and non-coding RNAs, PDGFRB, ERBB4, LHCGR, MSTRG.129094.34, MSTRG.3524.1 and gga-miR-145-5p, related to reproduction and ovarian development were highly enriched. Furthermore, lncRNA-miRNA-mRNA regulatory networks related to ovary development were constructed.
conclusionsOur study found dramatic transcriptomic differences in ovaries of Yili geese at different egg-laying stages, and a differential lncRNA-miRNA-mRNA regulatory network related to cell proliferation, differentiation and apoptosis and involved in stromal follicle development were established and preliminarily validated, which could be regarded as a key regulatory pathway of ovarian development in Yili geese.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.