Evidence map›Paper›PMID 29383120›Full record

ArticleOncotarget2017

Integrated analysis of mRNA and miRNA expression profiles in livers of Yimeng black pigs with extreme phenotypes for backfat thickness.

Wentong Li, Yalan Yang, Ying Liu, Shuai Liu, Xiuxiu Li, Yingping Wang, Yanmin Zhang, Hui Tang, Rong Zhou, Kui Li

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.4field-weighted citation impact, top 42% 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

5 citing papers in PubMed, 10 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

10 authors at 3 institutions in 1 country.

Wentong Li *School of Life Science, Foshan University, Foshan 528231, P.R. China.
Yalan Yang *School of Life Science, Foshan University, Foshan 528231, P.R. China.
Ying LiuThe State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.
Shuai LiuCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an 271000, P.R. China.
Xiuxiu LiCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an 271000, P.R. China.
Yingping WangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an 271000, P.R. China.
Yanmin ZhangThe State Key Laboratory of Animal Nutrition, Institute of Animal Science, Chinese Academy of Agricultural Sciences, Beijing 100193, P.R. China.
Hui TangCollege of Animal Science and Technology, Shandong Agricultural University, Tai'an 271000, P.R. China.
Rong ZhouSchool of Life Science, Foshan University, Foshan 528231, P.R. China.
Kui LiSchool of Life Science, Foshan University, Foshan 528231, P.R. China.
Chinese Academy of Agricultural Sciences · CNShandong Agricultural University · CNFoshan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fat deposition is an important economic trait in farm animals as well as obesity related diseases in humans, and the liver is a central organ involved in regulating lipid synthesis and metabolism in mammals. In this study, the pig liver transcriptome of two groups (H and L) showing differences in backfat thickness were profiled using RNA-Seq and miRNA-Seq to further explore the molecular mechanism of fat deposition. A total of 238 differentially expressed genes (DEGs) and 58 differentially expressed miRNAs were identified between the H and L group. These genes and miRNAs were functionally related to lipid metabolism, including

Indexed as

backfat thicknesslivermiRNA-seqpigRNA-Seq

Identifiers

PMID29383120
PMCPMC5777732
OpenAlexW2765846105

What OpenQuestion 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 OpenQuestion graph.