Evidence map›Paper›PMID 31130985›Full record

ArticleFrontiers in genetics2019

Systematic Analysis of Non-coding RNAs Involved in the Angora Rabbit (

Bohao Zhao, Yang Chen, Shuaishuai Hu, Naisu Yang, Manman Wang, Ming Liu, Jiali Li, Yeyi Xiao, Xinsheng Wu

Open access · goldAbstract read
In one paragraph

Article in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
4.1field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 63 citations in OpenAlex.

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  14. LncRNAs in domesticated animals: from dog to livestock species.Mammalian genome : official journal of the International Mammalian Genome Society · 2022
    Review
  15. Promoter Methylation Changes inInternational journal of molecular sciences · 2022
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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

9 authors at 1 institution in 1 country.

Bohao ZhaoCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Yang ChenCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Shuaishuai HuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Naisu YangCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Manman WangJoint International Research Laboratory of Agriculture and Agri-Product Safety, Yangzhou University, Yangzhou, China.
Ming LiuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Jiali LiCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Yeyi XiaoCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Xinsheng WuCollege of Animal Science and Technology, Yangzhou University, Yangzhou, China.
Yangzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hair follicle (HF) cycle is a complicated and dynamic process in mammals, associated with various signaling pathways and gene expression patterns. Non-coding RNAs (ncRNAs) are RNA molecules that are not translated into proteins but are involved in the regulation of various cellular and biological processes. This study explored the relationship between ncRNAs and the HF cycle by developing a synchronization model in Angora rabbits. Transcriptome analysis was performed to investigate ncRNAs and mRNAs associated with the various stages of the HF cycle. One hundred and eleven long non-coding RNAs (lncRNAs), 247 circular RNAs (circRNAs), 97 microRNAs (miRNAs), and 1,168 mRNAs were differentially expressed during the three HF growth stages. Quantitative real-time PCR was used to validate the ncRNA transcriptome analysis results. Gene ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses provided information on the possible roles of ncRNAs and mRNAs during the HF cycle. In addition, lncRNA-miRNA-mRNA and circRNA-miRNA-mRNA ceRNA networks were constructed to investigate the underlying relationships between ncRNAs and mRNAs. LNC_002919 and novel_circ_0026326 were found to act as ceRNAs and participated in the regulation of the HF cycle as miR-320-3p sponges. This research comprehensively identified candidate regulatory ncRNAs during the HF cycle by transcriptome analysis, highlighting the possible association between ncRNAs and the regulation of hair growth. This study provides a basis for systematic further research and new insights on the regulation of the HF cycle.

Indexed as

ceRNAhair follicle cyclenon-coding RNArabbitsequencing

Identifiers

PMID31130985
PMCPMC6509560
OpenAlexW2942951829

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.