Evidence map›Paper›PMID 33424924›Full record

ArticleFrontiers in genetics2020

Identification of Candidate Circular RNAs Underlying Intramuscular Fat Content in the Donkey.

Bojiang Li, Chunyu Feng, Shiyu Zhu, Junpeng Zhang, David M Irwin, Xiaoying Zhang, Zhe Wang, Shuyi Zhang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.3field-weighted citation impact, top 19% of its field
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

18 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Article
  3. Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025
    Review
  4. Unraveling the genetic and physiological potential of donkeys: insights from genomics, proteomics, and metabolomics approaches.Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
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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

8 authors at 3 institutions in 2 countries.

Bojiang LiCollege of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
Chunyu FengCollege of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
Shiyu ZhuCollege of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
Junpeng ZhangCollege of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
David M IrwinDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, ON, Canada.
Xiaoying ZhangLiaoning Province Engineering Center of Modern Agricultural Production Base, Shenyang, China.
Zhe WangCollege of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
Shuyi ZhangCollege of Animal Science and Veterinary Medicine, Shenyang Agricultural University, Shenyang, China.
Shenyang Agricultural University · CNLiaoning Provincial Institute of Agricultural Mechanization · CNUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Intramuscular fat (IMF) content is a crucial indicator of meat quality. Circular RNAs (circRNAs) are a large class of endogenous RNAs that are involved in many physiological processes. However, the expression and function of circRNA in IMF in the donkey remains unresolved. Here we performed an expression profiling of circRNAs in the donkey longissimus dorsi muscle and identified 12,727 candidate circRNAs. Among these, 70% were derived from the exons of protein genes. Furthermore, a total of 127 differentially expressed (DE) circRNAs were identified in high (H) and low (L) IMF content groups, including 63 upregulated and 64 downregulated circRNAs. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis of the host genes of the DE circRNAs showed that the host genes were enriched in lipid metabolism related GO terms (e.g., fatty acid beta-oxidation using acyl-CoA dehydrogenase and MLL3/4 complex), and signaling pathways (e.g., TGF-beta and lysine degradation signaling pathway). Further analyses indicated that 127 DE circRNAs were predicted to potentially interact with miRNAs, leading to the construction of circRNA-miRNA regulatory network. Multiple circRNAs can potentially function as sponges of miRNAs that regulate the differentiation of adipocytes. Our results provide valuable expression profile information for circRNA in the donkey and new insight into the regulatory mechanisms of circRNAs in the regulation of IMF content.

Indexed as

circular RNAdonkeyexpression profileIMFregulatory network

Identifiers

PMID33424924
PMCPMC7793956
OpenAlexW3111842345

What OpenQuestion holds

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LicenceCC BY
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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.