Evidence map›Paper›PMID 31010989›Full record

ArticleAsian-Australasian journal of animal sciences2019

Integrated mRNA and miRNA profile expression in livers of Jinhua and Landrace pigs.

Minjie Huang, Lixing Chen, Yifei Shen, Jiucheng Chen, Xiaoling Guo, Ningying Xu

Open access · goldAbstract read
In one paragraph

Article in Asian-Australasian journal of animal sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.3field-weighted citation impact, top 48% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Metabolic Adaptation and Pulmonary ceRNA Network Plasticity inInternational journal of molecular sciences · 2026
    Article
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  4. Article
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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

6 authors at 1 institution in 1 country.

Minjie HuangDepartment of Animal Genetics and Breeding, College of Animal Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0002-2753-7954
Lixing ChenDepartment of Animal Genetics and Breeding, College of Animal Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0001-9427-7737
Yifei ShenDepartment of Animal Genetics and Breeding, College of Animal Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0001-9567-7126
Jiucheng ChenDepartment of Animal Genetics and Breeding, College of Animal Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0003-1985-9205
Xiaoling GuoDepartment of Animal Genetics and Breeding, College of Animal Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0003-4776-1168
Ningying XuDepartment of Animal Genetics and Breeding, College of Animal Science, Zhejiang University, Hangzhou 310058, China.ORCID 0000-0003-3781-7826
Zhejiang University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To explore the molecular mechanisms of fat metabolism and deposition in pigs, an experiment was conducted to identify hepatic mRNAs and miRNAs expression and determine the potential interaction of them in two phenotypically extreme pig breeds. Methods: mRNA and miRNA profiling of liver from 70-day Jinhua (JH) and Landrace (LD) pigs were performed using RNA sequencing. Blood samples were taken to detect results of serum biochemistry. Bioinformatics analysis were applied to construct differentially expressed miRNA-mRNA network. Results: Serum total triiodothyronine (TT3) and total thyroxine (TT4) were significantly lower in Jinhua pigs, but the content of serum total cholesterol (TCH) and low-density lipoprotein cholesterol (LDLC) were strikingly higher. A total of 467 differentially expressed genes (DEGs) and 35 differentially expressed miRNAs (DE miRNAs) were identified between JH and LD groups. Gene ontology analysis suggested that DEGs were involved in oxidation-reduction, lipid biosynthetic and lipid metabolism process. Interaction network of DEGs and DE miRNAs were constructed, according to target prediction results. Conclusion: We generated transcriptome and miRNAome profiles of liver from Jinhua and Landrace pig breeds which represent distinguishing phenotypes of growth and metabolism. The potential miRNA-mRNA interaction networks may provide a comprehensive understanding in the mechanism of lipid metabolism. These results serve as a basis for further investigation on biological functions of miRNAs in the porcine liver.

Indexed as

LivermiRNAmRNAPigRNA-seq

Identifiers

PMID31010989
PMCPMC6718901
OpenAlexW2922051453

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.