Evidence map›Paper›PMID 30386173›Full record

ArticleCurrent genomics2018

Interplay Between MicroRNAs and Targeted Genes in Cellular Homeostasis of Adult Zebrafish (

Ludivine Renaud, Willian A da Silveira, William B Glen, Edward S Hazard, and, Gary Hardiman

Open access · bronzeAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Current genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Comparative Analysis of miRNA-mRNA Regulation in the Testes ofInternational journal of molecular sciences · 2023
    Article
  3. Article
  4. 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

6 authors at 1 institution in 1 country.

Ludivine Renaud1Department of Medicine, Medical University of South Carolina, Charleston, SC29425, USA; 2Hollings Marine Laboratory, Medical University of South Carolina, Charleston, SC29425, USA; 3Center for Genomic Medicine Bioinformatics, Medical University of South Carolina, Charleston, SC29425, USA; 4Department of Pathology, Medical University of South Carolina, Charleston, SC29425, USA; 5Academic Affairs Faculty, Medical University of South Carolina, Charleston, SC29425, USA; 6Department of Medicine, University of California, La Jolla, CA92093, USA; 7Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC29425, USA.
Willian A da Silveira1Department of Medicine, Medical University of South Carolina, Charleston, SC29425, USA; 2Hollings Marine Laboratory, Medical University of South Carolina, Charleston, SC29425, USA; 3Center for Genomic Medicine Bioinformatics, Medical University of South Carolina, Charleston, SC29425, USA; 4Department of Pathology, Medical University of South Carolina, Charleston, SC29425, USA; 5Academic Affairs Faculty, Medical University of South Carolina, Charleston, SC29425, USA; 6Department of Medicine, University of California, La Jolla, CA92093, USA; 7Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC29425, USA.
William B Glen1Department of Medicine, Medical University of South Carolina, Charleston, SC29425, USA; 2Hollings Marine Laboratory, Medical University of South Carolina, Charleston, SC29425, USA; 3Center for Genomic Medicine Bioinformatics, Medical University of South Carolina, Charleston, SC29425, USA; 4Department of Pathology, Medical University of South Carolina, Charleston, SC29425, USA; 5Academic Affairs Faculty, Medical University of South Carolina, Charleston, SC29425, USA; 6Department of Medicine, University of California, La Jolla, CA92093, USA; 7Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC29425, USA.
Edward S Hazard1Department of Medicine, Medical University of South Carolina, Charleston, SC29425, USA; 2Hollings Marine Laboratory, Medical University of South Carolina, Charleston, SC29425, USA; 3Center for Genomic Medicine Bioinformatics, Medical University of South Carolina, Charleston, SC29425, USA; 4Department of Pathology, Medical University of South Carolina, Charleston, SC29425, USA; 5Academic Affairs Faculty, Medical University of South Carolina, Charleston, SC29425, USA; 6Department of Medicine, University of California, La Jolla, CA92093, USA; 7Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC29425, USA.
and
Gary Hardiman1Department of Medicine, Medical University of South Carolina, Charleston, SC29425, USA; 2Hollings Marine Laboratory, Medical University of South Carolina, Charleston, SC29425, USA; 3Center for Genomic Medicine Bioinformatics, Medical University of South Carolina, Charleston, SC29425, USA; 4Department of Pathology, Medical University of South Carolina, Charleston, SC29425, USA; 5Academic Affairs Faculty, Medical University of South Carolina, Charleston, SC29425, USA; 6Department of Medicine, University of California, La Jolla, CA92093, USA; 7Department of Public Health Sciences, Medical University of South Carolina, Charleston, SC29425, USA.
Medical University of South Carolina · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCellular homeostasis is regulated by the intricate interplay between a plethora of signaling pathways and "energetic sensors" in organs. In order to maintain energy balance, induction or repression of metabolic pathways must be regulated and act in concert with the energetic demands of the cell at a given point in time. A new class of small noncoding RNAs, the microRNAs (miRNAs), has added yet further complexity to the control of metabolic homeostasis.

objectiveUnderstanding the damages induced by toxins in the liver and the intestine as well as the interplay between the miRNome and transcriptome first requires baseline characterization in these tissues in healthy animals under cellular homeostasis.

methodsThe liver (main site for detoxification) and the gut (primary exposure routes for contaminant exposure) were dissected out (wildtype fish), total and small RNA extracted, mRNA and miRNA libraries constructed and subjected to high throughput sequencing. Differential Expression (DE) analysis was performed comparing liver with gut and an "miRNA matrix" that integrates the miRNA-seq and mRNA-seq data was constructed.

resultsBoth the miRNome and transcriptome of the liver and gut tissues were characterized and putative novel miRNAs were identified. Exploration of the "miRNA matrix" regulatory network revealed that miRNAs uniquely expressed in the liver or gut tissue regulated fundamental cellular processes important for both organs, and that commonly expressed miRNAs in both tissues regulated biological processes that were specific to either the liver or the gut.

conclusionThe result of our analyses revealed new insights into microRNA function in these tissues.

Indexed as

BioinformaticsHomeostasisMicroRNAsmRNAsNon-coding RNAsSystems level analysisZebrafish

Identifiers

PMID30386173
PMCPMC6194436
OpenAlexW2800096076

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.