Evidence map›Paper›PMID 26496202›Full record

ArticlePloS one2015

Deciphering the Developmental Dynamics of the Mouse Liver Transcriptome.

Sumedha S Gunewardena, Byunggil Yoo, Lai Peng, Hong Lu, Xiaobo Zhong, Curtis D Klaassen, Julia Yue Cui

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Article
  3. mNature metabolism · 2023
    Article
  4. Article
  5. Article
  6. Impact of Neonatal Activation of Nuclear Receptor CAR (Nr1i3) on Cyp2 Gene Expression in Adult Mouse Liver.Toxicological sciences : an official journal of the Society of Toxicology · 2022
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Alternative RNA Splicing in Fatty Liver Disease.Frontiers in endocrinology · 2021
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

7 authors at 5 institutions in 1 country.

Sumedha S GunewardenaDepartment of Molecular and Integrative Physiology, Department of Biostatistics, University of Kansas Medical Center, Kansas City, Kansas, 66160, United States of America.
Byunggil YooChildren's Mercy Hospital, Kansas City, Missouri, 64108, United States of America.
Lai PengDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Connecticut, Storrs, Connecticut, 06269, United States of America.
Hong LuDepartment of Pharmacology, State University of New York Upstate Medical University, Syracuse, New York, 13210, United States of America.
Xiaobo ZhongDepartment of Pharmaceutical Sciences, School of Pharmacy, University of Connecticut, Storrs, Connecticut, 06269, United States of America.
Curtis D KlaassenDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, 98195, United States of America.
Julia Yue CuiDepartment of Environmental and Occupational Health Sciences, University of Washington, Seattle, Washington, 98195, United States of America.
University of Connecticut · USUniversity of Washington · USChildren's Mercy Hospital · USSUNY Upstate Medical University · USUniversity of Kansas Medical Center · US

Funding

Developmental Regulation of Drug Processing GenesR01ES019487 · NIEHS · UNIVERSITY OF WASHINGTON · PI CUI, JULIA YUE, LU, HONG · 2010 to 2014
$3.0M
NIEHS NIH HHS ES-019487NIEHS NIH HHS R01 ES019487
6 · The paper itself

Abstract

During development, liver undergoes a rapid transition from a hematopoietic organ to a major organ for drug metabolism and nutrient homeostasis. However, little is known on a transcriptome level of the genes and RNA-splicing variants that are differentially regulated with age, and which up-stream regulators orchestrate age-specific biological functions in liver. We used RNA-Seq to interrogate the developmental dynamics of the liver transcriptome in mice at 12 ages from late embryonic stage (2-days before birth) to maturity (60-days after birth). Among 21,889 unique NCBI RefSeq-annotated genes, 9,641 were significantly expressed in at least one age, 7,289 were differently regulated with age, and 859 had multiple (> = 2) RNA splicing-variants. Factor analysis showed that the dynamics of hepatic genes fall into six distinct groups based on their temporal expression. The average expression of cytokines, ion channels, kinases, phosphatases, transcription regulators and translation regulators decreased with age, whereas the average expression of peptidases, enzymes and transmembrane receptors increased with age. The average expression of growth factors peak between Day-3 and Day-10, and decrease thereafter. We identified critical biological functions, upstream regulators, and putative transcription modules that seem to govern age-specific gene expression. We also observed differential ontogenic expression of known splicing variants of certain genes, and 1,455 novel splicing isoform candidates. In conclusion, the hepatic ontogeny of the transcriptome ontogeny has unveiled critical networks and up-stream regulators that orchestrate age-specific biological functions in liver, and suggest that age contributes to the complexity of the alternative splicing landscape of the hepatic transcriptome.

Indexed as

Gene Expression Regulation, DevelopmentalTranscriptomeAgingAnimalsAnimals, NewbornEmbryo, MammalianFetusGene Expression ProfilingLiverMaleMiceMice, Inbred C57BLMolecular Sequence AnnotationMorphogenesisRNA, MessengerRNA SplicingRNA, Messenger

Identifiers

PMID26496202
PMCPMC4619800
OpenAlexW2195155186

What OpenQuestion holds

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LicenceCC BY
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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.