Evidence map›Paper›PMID 26690086›Full record

ArticleScientific reports2015

Genome-wide analysis of microRNAs identifies the lipid metabolism pathway to be a defining factor in adipose tissue from different sheep.

Xiangyang Miao, Qingmiao Luo, Xiaoyu Qin, Yuntao Guo

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
1.9field-weighted citation impact, top 15% 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

33 citing papers in PubMed, 56 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.

Xiangyang MiaoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Qingmiao LuoInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Xiaoyu QinInstitute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing, 100193, China.
Yuntao GuoInstitute 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 are short (17-24 nt) non-coding RNAs that are involved in post-transcriptional regulation of gene expression in multicellular organisms by affecting both the stability and translation of mRNAs. In recent years, deep sequencing of the transcriptome is increasingly being utilized with the promise of higher sensitivity for the identification of differential expression patterns as well as the opportunity to discover new transcripts, including new alternative isoforms and miRNAs. Here, we utilized RNA-seq technology to perform a genome-wide analysis of miRNAs from the adipose tissue of the two species of sheep to look for clues that might explain the fat deposition differences between the sheep. The RNA-seq analysis detected 3132 miRNAs from the adipose tissue of the Small-tail Han and Dorset sheep, of which 2893 were defined as potential new miRNAs. In addition, 54 miRNAs were differentially expressed between the two breeds of sheep. Gene ontology and pathway analyses of the predicted target genes that negatively associated with the differentially expressed miRNAs revealed that there was less active lipid metabolism in the adipose tissue of Small Tail Han sheep. This study can help understand the underlying mechanisms responsible for the morphological differences related to fat deposition between two breeds of sheep.

Indexed as

GenomeGenome-Wide Association StudyAdipose TissueAnimalsDown-RegulationGene Expression ProfilingGene LibraryGene OntologyLipid MetabolismMetabolic Networks and PathwaysMicroRNAsMolecular Sequence AnnotationReproducibility of ResultsSequence Analysis, DNASheep, DomesticMicroRNAs

Identifiers

PMID26690086
PMCPMC4686875
OpenAlexW2403944390

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.