ArticleScientific reports2017
Identification and comparative analysis of the ovarian microRNAs of prolific and non-prolific goats during the follicular phase using high-throughput sequencing.
Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 45 citations in OpenAlex.
- Construction of TF-lncRNA-miRNA-mRNA Regulatory Network Affecting Sow Reproduction Based on QTLs for Corpus Luteum Number.Animals : an open access journal from MDPI · 2026Article
- Genome-wide assessment of runs of homozygosity and inbreeding in Inner Mongolia cashmere goats reveals candidate genes for economic traits.Frontiers in veterinary science · 2026Article
- Integrated analysis of microRNA and mRNA interactions regulating fecundity in the ovaries of two distinct sheep breeds.BMC genomics · 2025Article
- Characterization of MicroRNA expression profiles in the ovarian tissue of goats during the sexual maturity period.Journal of ovarian research · 2023Article
- Identification of differentially expressed genes and signaling pathways in Gaoyou duck ovary at different physiological stages.Frontiers in veterinary science · 2023Article
- The relationship between miR-21, DNA methylation, and bisphenol a in bovine COCs and granulosa cells.Frontiers in cell and developmental biology · 2023Article
- miR-450-5p and miR-202-5p Synergistically Regulate Follicle Development in Black Goat.International journal of molecular sciences · 2022Article
- Integrated analyses of miRNA-mRNA expression profiles of ovaries reveal the crucial interaction networks that regulate the prolificacy of goats in the follicular phase.BMC genomics · 2021Article
- Article
- Comprehensive analysis of mRNAs and miRNAs in the ovarian follicles of uniparous and multiple goats at estrus phase.BMC genomics · 2020Article
- RumimiR: a detailed microRNA database focused on ruminant species.Database : the journal of biological databases and curation · 2019Article
- Identification and characterization of microRNAs in the pituitary of pubescent goats.Reproductive biology and endocrinology : RB&E · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The kidding rate is one of the most important economic traits for goat production, but the genetic mechanism that is associated with ovulation rate is poorly understood. Recently, increasing evidence has suggested that microRNAs (miRNAs) influence ovarian biological processes. The present study provides the first comparison of the ovarian miRNAs of prolific Jintang black goats (JTGs) and non-prolific Tibetan goats (TBGs) during the follicular phase using RNA-Seq technology. We generated 11.19 million (M) and 11.34 M clean reads from the TBG and JTG libraries, respectively, from which a total of 389 known miRNAs were identified and 142 novel miRNAs were predicted. A total of 191 miRNAs were differentially expressed between the two breeds. Among the 10 most abundant miRNAs, miR-21-5p was defined as differentially expressed miRNA with a higher level in the JTG library than in the TBG library, but the other miRNAs were not different between the breeds. The predicted miRNA-targeted genes were further analyzed by Gene Ontology and KEGG pathway analyses. The results revealed that miR-21, miR-99a, miRNA-143, let-7f, miR-493 and miR-200b may affect follicular development. These findings will increase the current understanding of the role of ovarian miRNAs in the regulation of ovulation rate in goats.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.