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Mammalian Genome

, Volume 29, Issue 1–2, pp 168–181 | Cite as

Population-based dose–response analysis of liver transcriptional response to trichloroethylene in mouse

  • Abhishek Venkatratnam
  • John S. House
  • Kranti Konganti
  • Connor McKenney
  • David W. Threadgill
  • Weihsueh A. Chiu
  • David L. Aylor
  • Fred A. Wright
  • Ivan Rusyn
Article

Abstract

Studies of gene expression are common in toxicology and provide important clues to mechanistic understanding of adverse effects of chemicals. Most prior studies have been performed in a single strain or cell line; however, gene expression is heavily influenced by the genetic background, and these genotype-expression differences may be key drivers of inter-individual variation in response to chemical toxicity. In this study, we hypothesized that the genetically diverse Collaborative Cross mouse population can be used to gain insight and suggest mechanistic hypotheses for the dose- and genetic background-dependent effects of chemical exposure. This hypothesis was tested using a model liver toxicant trichloroethylene (TCE). Liver transcriptional responses to TCE exposure were evaluated 24 h after dosing. Transcriptomic dose–responses were examined for both TCE and its major oxidative metabolite trichloroacetic acid (TCA). As expected, peroxisome- and fatty acid metabolism-related pathways were among the most dose–responsive enriched pathways in all strains. However, nearly half of the TCE-induced liver transcriptional perturbation was strain-dependent, with abundant evidence of strain/dose interaction, including in the peroxisomal signaling-associated pathways. These effects were highly concordant between the administered TCE dose and liver levels of TCA. Dose–response analysis of gene expression at the pathway level yielded points of departure similar to those derived from the traditional toxicology studies for both non-cancer and cancer effects. Mapping of expression–genotype–dose relationships revealed some significant associations; however, the effects of TCE on gene expression in liver appear to be highly polygenic traits that are challenging to positionally map. This study highlights the usefulness of mouse population-based studies in assessing inter-individual variation in toxicological responses, but cautions that genetic mapping may be challenging because of the complexity in gene exposure–dose relationships.

Notes

Acknowledgements

This work was supported, in part, by a cooperative agreement (STAR RD83561202) from U.S. EPA to Texas A&M University, a Barry Goldwater scholarship, and grants from the National Institutes of Health (U01 ES026717, R00 ES021535, P42 ES027704, and P30 ES025128). The views expressed in this article are those of the authors and do not necessarily reflect the views of NIH or policies of EPA.

Compliance with ethical standards

Conflict of interest

On behalf of all authors, the corresponding author states that there are no conflicts of interest.

Supplementary material

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  • Abhishek Venkatratnam
    • 1
    • 2
  • John S. House
    • 3
    • 4
  • Kranti Konganti
    • 1
  • Connor McKenney
    • 5
  • David W. Threadgill
    • 1
  • Weihsueh A. Chiu
    • 1
  • David L. Aylor
    • 3
    • 4
    • 6
  • Fred A. Wright
    • 3
    • 4
    • 6
    • 7
  • Ivan Rusyn
    • 1
  1. 1.Department of Veterinary Integrative BiosciencesTexas A&M UniversityCollege StationUSA
  2. 2.Department of Environmental Sciences and EngineeringUniversity of North CarolinaChapel HillUSA
  3. 3.Bioinformatics Research CenterNorth Carolina State UniversityRaleighUSA
  4. 4.Center for Human Health and the EnvironmentNorth Carolina State UniversityRaleighUSA
  5. 5.NCSU Undergraduate program in GeneticsNorth Carolina State UniversityRaleighUSA
  6. 6.Department of Biological SciencesNorth Carolina State UniversityRaleighUSA
  7. 7.Department of StatisticsNorth Carolina State UniversityRaleighUSA

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