Evidence map›Paper›PMID 27080131›Full record

ArticleBiochimica et biophysica acta2016

Bioinformatic analysis of microRNA networks following the activation of the constitutive androstane receptor (CAR) in mouse liver.

Ruixin Hao, Shengzhong Su, Yinan Wan, Frank Shen, Ben Niu, Denise M Coslo, Istvan Albert, Xing Han, Curtis J Omiecinski

Abstract read
In one paragraph

Article in Biochimica et biophysica acta, 2016. 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
–field-weighted citation impact
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.

  1. Article
  2. Non-coding RNA crosstalk with nuclear receptors in liver disease.Biochimica et biophysica acta. Molecular basis of disease · 2021
    Review
  3. Article
  4. Article
  5. The Roles of Xenobiotic Receptors: Beyond Chemical Disposition.Drug metabolism and disposition: the biological fate of chemicals · 2018
    Review
  6. Article
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.

Ruixin HaoDuPont Haskell Global Centers for Health and Environmental Sciences, Newark, Delaware, United States; Center for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, PA, United States.
Shengzhong SuCenter for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, PA, United States.
Yinan WanDepartment of Bioinformatics and Genomics, The Pennsylvania State University, University Park, PA, United States.
Frank ShenDepartment of Statistics, The Pennsylvania State University, University Park, PA, United States.
Ben NiuCenter for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, PA, United States.
Denise M CosloCenter for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, PA, United States.
Istvan AlbertDepartment of Bioinformatics and Genomics, The Pennsylvania State University, University Park, PA, United States.
Xing HanDuPont Haskell Global Centers for Health and Environmental Sciences, Newark, Delaware, United States.
Curtis J OmiecinskiCenter for Molecular Toxicology and Carcinogenesis, The Pennsylvania State University, University Park, PA, United States. Electronic address: cjo10@psu.edu.

Funding

Targeting Dynamics of CAR and PXR in the Mouse and Human GenomesR01GM066411 · NIGMS · PENNSYLVANIA STATE UNIVERSITY-UNIV PARK · PI OMIECINSKI, CURTIS J · 2002 to 2017
$4.5M
NIGMS NIH HHS R01 GM066411
6 · The paper itself

Abstract

The constitutive androstane receptor (CAR; NR1I3) is a member of the nuclear receptor superfamily that functions as a xenosensor, serving to regulate xenobiotic detoxification, lipid homeostasis and energy metabolism. CAR activation is also a key contributor to the development of chemical hepatocarcinogenesis in mice. The underlying pathways affected by CAR in these processes are complex and not fully elucidated. MicroRNAs (miRNAs) have emerged as critical modulators of gene expression and appear to impact many cellular pathways, including those involved in chemical detoxification and liver tumor development. In this study, we used deep sequencing approaches with an Illumina HiSeq platform to differentially profile microRNA expression patterns in livers from wild type C57BL/6J mice following CAR activation with the mouse CAR-specific ligand activator, 1,4-bis-[2-(3,5,-dichloropyridyloxy)] benzene (TCPOBOP). Bioinformatic analyses and pathway evaluations were performed leading to the identification of 51 miRNAs whose expression levels were significantly altered by TCPOBOP treatment, including mmu-miR-802-5p and miR-485-3p. Ingenuity Pathway Analysis of the differentially expressed microRNAs revealed altered effector pathways, including those involved in liver cell growth and proliferation. A functional network among CAR targeted genes and the affected microRNAs was constructed to illustrate how CAR modulation of microRNA expression may potentially mediate its biological role in mouse hepatocyte proliferation. This article is part of a Special Issue entitled: Xenobiotic nuclear receptors: New Tricks for An Old Dog, edited by Dr. Wen Xie.

Indexed as

Gene Regulatory NetworksAnimalsCell ProliferationComputational BiologyConstitutive Androstane ReceptorGene Expression ProfilingGene Expression RegulationGene LibraryGene OntologyHepatocytesHigh-Throughput Nucleotide SequencingInjections, IntraperitonealLigandsLiverLiver NeoplasmsMale1,4-bis(2-(3,5-dichloropyridyloxy))benzeneConstitutive Androstane ReceptorLigandsMicroRNAsNr1i3 protein, mousePyridinesReceptors, Cytoplasmic and NuclearConstitutive androstane receptorLiver cancermicroRNAMouseTCPOBOP

Identifiers

PMID27080131
PMCPMC4975621

What OpenQuestion holds

Textmetadata
LicenceTDM
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.