ArticleJournal of animal science and technology2024
Long noncoding RNA network for lncRNA-mRNA interactions throughout swine estrous cycle reveals developmental and hormonal regulations in reproductive tissues.
Article in Journal of animal science and technology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
2 citing papers in PubMed.
- Whole-Transcriptome Landscape Deciphers a ceRNA-Mediated "De-Repression-Activation" Circuit Governing Continuous Estrus in Ovine.Animals : an open access journal from MDPI · 2026Article
- High-value valorization ofFrontiers in veterinary science · 2025Article
Corrections and comments
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Authors and funding
4 authors.
Funding
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Abstract
The mechanism of estrous cycles of pigs should be explored because their reproductive traits are useful for manipulating productivity and solving problems such as infertility. These estrous cycles should be elucidated to understand the complex interactions between various reproductive tissues (including the ovary, oviduct, and endometrium) and the complex range of hormone secretions during estrous cycles. Long non-coding RNAs (lncRNAs) regulate target genes at transcriptional, post-transcriptional, and post-translational regulation levels in various species. However, unlike mRNAs, lncRNAs in pigs have not been sufficiently annotated, and understanding the protein level of coding genes has limitations in determining the mechanism of the reproductive traits of porcine. In this study, the lncRNAs of the porcine ovary, oviduct, and endometrium were investigated on days 0, 3, 6, 9, 12, 15, and 18 of the estrous cycle. In addition, the characteristics and functions of the identified lncRNAs were explored. 19,021 novel lncRNA transcripts were selected, and the comparison of the characteristics of the newly identified lncRNA and mRNA showed that similar to those of previous studies. Four lncRNA networks were chosen through network analysis. The
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