Evidence map›Paper›PMID 20551147›Full record

ArticlePhysiological genomics2010

Sex-specific gene expression in the BXD mouse liver.

Daniel M Gatti, Ni Zhao, Elissa J Chesler, Blair U Bradford, Andrey A Shabalin, Roumyana Yordanova, Lu Lu, Ivan Rusyn

Abstract read
In one paragraph

Article in Physiological genomics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Estrogen-Dependent Upregulation ofFrontiers in genetics · 2018
    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

8 authors.

Daniel M GattiDepartment of Environmental Sciences and Engineering, University of North Carolina, Chapel Hill, North Carolina 27599, USA.
Ni Zhao
Elissa J Chesler
Blair U Bradford
Andrey A Shabalin
Roumyana Yordanova
Lu Lu
Ivan Rusyn

Funding

STOCHASTIC ANALYSIS OF FLOW AND TRANSPORT PHENOMENAP42ES005948 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI FRY, REBECCA · 1992 to 2017
$45.4M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
Bioengineering partnership to improve chemical hazard testing paradigmsR01ES015241 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2008 to 2012
$3.1M
Metabolomic and Toxicogenetic Study of Ethanol ToxicityR01AA016258 · NIAAA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI RUSYN, IVAN · 2005 to 2009
$2.5M
Genetic Analysis of Ethanol-Mediated Stress ReductionU01AA014425 · NIAAA · UNIVERSITY OF TENNESSEE HEALTH SCI CTR · PI LU, LU · 2004 to 2008
$2.1M
NIAAA NIH HHS R01 AA016258NIAAA NIH HHS R01-AA-016258NIAAA NIH HHS U01 AA014425NIAAA NIH HHS U01-AA-014425NIEHS NIH HHS P30 ES010126NIEHS NIH HHS P42 ES005948NIEHS NIH HHS P42-ES-005948NIEHS NIH HHS R01 ES015241NIEHS NIH HHS R01-ES-015241
6 · The paper itself

Abstract

Differences in clinical phenotypes between the sexes are well documented and have their roots in differential gene expression. While sex has a major effect on gene expression, transcription is also influenced by complex interactions between individual genetic variation and environmental stimuli. In this study, we sought to understand how genetic variation affects sex-related differences in liver gene expression by performing genetic mapping of genomewide liver mRNA expression data in a genetically defined population of naive male and female mice from C57BL/6J, DBA/2J, B6D2F1, and 37 C57BL/6J x DBA/2J (BXD) recombinant inbred strains. As expected, we found that many genes important to xenobiotic metabolism and other important pathways exhibit sexually dimorphic expression. We also performed gene expression quantitative trait locus mapping in this panel and report that the most significant loci that appear to regulate a larger number of genes than expected by chance are largely sex independent. Importantly, we found that the degree of correlation within gene expression networks differs substantially between the sexes. Finally, we compare our results to a recently released human liver gene expression data set and report on important similarities in sexually dimorphic liver gene expression between mouse and human. This study enhances our understanding of sex differences at the genome level and between species, as well as increasing our knowledge of the molecular underpinnings of sex differences in responses to xenobiotics.

Indexed as

Gene ExpressionSex FactorsAnimalsChimeraCrosses, GeneticFemaleGene Expression ProfilingHumansLiverMaleMiceMice, Inbred C57BLMice, Inbred DBAOligonucleotide Array Sequence Analysis

Identifiers

PMID20551147
PMCPMC2929887

What OpenQuestion holds

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Registered trials

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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.