Evidence map›Paper›PMID 28272430›Full record

ArticleScientific reports2017

Identification and characterization of differentially expressed miRNAs in subcutaneous adipose between Wagyu and Holstein cattle.

Yuntao Guo, Xiuxiu Zhang, Wanlong Huang, Xiangyang Miao

Open access · goldAbstract read
In one paragraph

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 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

41 citing papers in PubMed, 60 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Yuntao GuoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xiuxiu ZhangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Wanlong HuangInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xiangyang MiaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Chinese Academy of Agricultural Sciences · CNInstitute of Animal Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) are important post-transcriptional regulators involved in animal adipogenesis, however, their roles in bovine fat deposition remain poorly understood. In the present study, we conducted a comparative RNA sequencing to identify the key miRNAs involved in beef lipid accumulation by comparing the backfat small RNA samples between Wagyu (high intramuscular fat) and Holstein (moderate intramuscular fat) cattle. Fifteen miRNAs such as bta-miR-142-3p, bta-miR-379, bta-miR-196a, bta-miR-196b, bta-miR-30f and bta-miR-2887 were identified to have a higher expression level in Wagyu cattle compared with Holstein, whereas bta-miR-320a, bta-miR-874 and bta-miR-1247-3p had a lower expression level in Wagyu. Furthermore, a total of 1345 potential target genes of differentially expressed miRNAs were predicted using bioinformatics tools, in which PPARα and RXRα were known to play a critical role in adipocyte differentiation and lipid metabolism. In conclusion, the present study constructed a high-throughput RNA sequencing screen and successfully identified miRNAs such as bta-miR-874, bta-miR-320a and bta-miR-196b which may affect beef fat deposition. The present findings may provide a theoretical foundation for the utilization of beef cattle germplasm resources.

Indexed as

AnimalsCattleGene Expression RegulationHigh-Throughput Nucleotide SequencingMicroRNAsProtein Interaction MapsSignal TransductionSubcutaneous FatMicroRNAs

Identifiers

PMID28272430
PMCPMC5341059
OpenAlexW2594165594

What OpenQuestion holds

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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 OpenQuestion graph.