Evidence map›Paper›PMID 36140778›Full record

ArticleGenes2022

Comparative Transcriptome Analysis of Slow-Twitch and Fast-Twitch Muscles in Dezhou Donkeys.

Yan Li, Qingshan Ma, Xiaoyuan Shi, Wenmin Yuan, Guiqin Liu, Changfa Wang

Open access · goldAbstract read
In one paragraph

Article in Genes, 2022. 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
4.0field-weighted citation impact, top 5% 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, 44 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Application of Omics in Donkey Meat Research: A Review.Animals : an open access journal from MDPI · 2025
    Review
  8. 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
  9. Article
  10. Article
  11. Molecular cloning ofAnimal biotechnology · 2024
    Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Article
  18. 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

6 authors at 2 institutions in 1 country.

Yan LiCollege of Agronomy, Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, Liaocheng University, Liaocheng 252000, China.
Qingshan MaCollege of Agronomy, Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, Liaocheng University, Liaocheng 252000, China.
Xiaoyuan ShiCollege of Agronomy, Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, Liaocheng University, Liaocheng 252000, China.
Wenmin YuanMarine Biomedical Research Institute of Qingdao, Qingdao 266000, China.
Guiqin LiuCollege of Agronomy, Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, Liaocheng University, Liaocheng 252000, China.
Changfa WangCollege of Agronomy, Shandong Engineering Technology Research Center for Efficient Breeding and Ecological Feeding of Black Donkey, Liaocheng University, Liaocheng 252000, China.ORCID 0000-0002-5186-1703
Liaocheng University · CNMarine Biomedical Research Institute of Qingdao · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skeletal muscle fiber profile is closely related to livestock meat quality. However, the molecular mechanisms determining muscle fiber types in donkeys are not completely understood. In this study, we selected the psoas major muscle (PM; mainly composed of oxidative-type muscle fibers) and biceps femoris muscle (BF; mainly composed of glycolytic-type muscle fibers) and systematically compared their mRNA and microRNA transcriptomes via RNA-seq. We identified a total of 2881 differentially expressed genes (DEGs) and 21 known differentially expressed miRNAs (DEmiRs). Furthermore, functional enrichment analysis showed that the DEGs were mainly involved in energy metabolism and actin cytoskeleton regulation. The glycolysis/gluconeogenesis pathway (including up-regulated genes such as

Indexed as

MicroRNAsTranscriptomeActinsAnimalsEquidaeGene Expression ProfilingMuscle Fibers, Slow-TwitchMyosinsRNA, MessengerActinsMicroRNAsMyosinsRNA, Messengerdonkeysfiber typeskeletal muscletranscriptome

Identifiers

PMID36140778
PMCPMC9498731
OpenAlexW4296137476

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.