Evidence map›Paper›PMID 39342142›Full record

ArticleBMC genomics2024

Identification of functional circRNAs regulating ovarian follicle development in goats.

Jie Liu, Guanghang Feng, Conghui Guo, Zhihan Li, Dewu Liu, Guangbin Liu, Xian Zou, Baoli Sun, Yongqing Guo, Ming Deng and 1 more

Abstract read
In one paragraph

Article in BMC genomics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Missense Mutations inAnimals : an open access journal from MDPI · 2025
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Jie LiuHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Guanghang FengHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Conghui GuoHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Zhihan LiHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Dewu LiuHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Guangbin LiuHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Xian ZouState Key Laboratory of Livestock and Poultry Breeding, Guangdong Key Laboratory of Animal Breeding and Nutrition, Institute of Animal Science, Guangdong Academy of Agricultural Sciences, Guangzhou, 510640, China.
Baoli SunHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Yongqing GuoHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Ming DengHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China.
Yaokun LiHerbivore Laboratory, College of Animal Science, South China Agricultural University, Guangzhou, 510642, China. ykli@scau.edu.cn.

Funding

Guangdong-Guangxi Cooperative Technology Special Envoys Team Project E230257Modern Agricultural Industrial Technology System of Guangdong Province 2023KJ127
6 · The paper itself

Abstract

barkgroundCircular RNAs (circRNAs) play important regulatory roles in a variety of biological processes in mammals. Multiple birth-traits in goats are affected by several factors, but the expression and function of circRNAs in follicular development of goats are not clear. In this study, we aimed to investigate the possible regulatory mechanisms of circRNA and collected five groups of large follicles (Follicle diameter > 6 mm) and small follicles (1 mm < Follicle diameter < 3 mm) from Leizhou goats in estrus for RNA sequencing.

resultsRNA sequencing showed that 152 circRNAs were differentially expressed in small and large follicles. Among them, 101 circRNAs were up-regulated in large follicles and 51 circRNAs were up-regulated in small follicles. GO and KEGG enrichment analyses showed that parental genes of the differential circRNAs were significantly enriched in important pathways, such as ovarian steroidogenesis, GnRH signaling pathway, animal autophagy and oxytocin signalling pathway. BioSignal analysis revealed that 152 differentially expressed circRNAs could target 91 differential miRNAs including miR-101 family (chi-miR-101-3p, chi-miR-101-5p), miR-202 family (chi-miR-202-5p, chi-miR-202-3p),60 circRNAs with translation potential. Based on the predicted sequencing results, the ceRNA networks chicirc_008762/chi-miR-338-3p/ARHGAP18 and chicirc_040444/chi-miR-338-3p/STAR were constructed in this study. Importantly, the new gene circCFAP20DC was first discovered in goats. The EDU assay and flow cytometry results indicated that circCFAP20DC enhanced the proliferation of follicular granulosa cells(GCs). Real-time quantitative PCR and western blotting assays showed that circCFAP20DC activated the Retinoblastoma(RB) pathway and promoted the progression of granulosa cells from G1 to S phase.

conclusionDifferential circRNAs in goat size follicles may have important biological functions for follicular development. The novel gene circCFAP20DC activates the RB pathway, promoting the progression of GCs from G1 to S phase. This, in turn, enhances the proliferation of follicular GCs in goats.

Indexed as

GoatsOvarian FollicleRNA, CircularAnimalsFemaleGene Expression ProfilingGene Regulatory NetworksMicroRNAsSequence Analysis, RNAMicroRNAsRNA, CircularcircCFAP20DCFollicular developmentLeizhou goatReproductionRNA sequencing

Identifiers

PMID39342142
PMCPMC11439210

What OpenQuestion holds

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Registered trials

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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.