Extensive Homeostatic T Cell Phenotypic Variation within the Collaborative Cross

Jessica B. Graham, Jessica L. Swarts, Michael Mooney, Gabrielle Choonoo, Sophia Jeng, Darla R. Miller, Martin T. Ferris, Shannon McWeeney, Jennifer M. Lund

Research output: Contribution to journalArticlepeer-review

16 Scopus citations

Abstract

The Collaborative Cross (CC) is a panel of reproducible recombinant inbred mouse strains with high levels of standing genetic variation, affording an unprecedented opportunity to perform experiments in a small animal model containing controlled genetic diversity while allowing for genetic replicates. Here, we advance the utility of this unique mouse resource for immunology research because it allows for both examination and genetic dissection of mechanisms behind adaptive immune states in mice with distinct and defined genetic makeups. This approach is based on quantitative trait locus mapping: identifying genetically variant genome regions associated with phenotypic variance in traits of interest. Furthermore, the CC can be utilized for mouse model development; distinct strains have unique immunophenotypes and immune properties, making them suitable for research on particular diseases and infections. Here, we describe variations in cellular immune phenotypes across F1 crosses of CC strains and reveal quantitative trait loci responsible for several immune phenotypes. Graham et al. advance the use of the Collaborative Cross (CC), a panel of reproducible recombinant inbred mouse strains, for immunology research. They demonstrate that the CC better models the phenotypic diversity in human T cell immunity and use quantitative trait locus mapping to reveal candidate genes linked to T cell phenotypes.

Original languageEnglish (US)
Pages (from-to)2313-2325
Number of pages13
JournalCell Reports
Volume21
Issue number8
DOIs
StatePublished - Nov 21 2017

Keywords

  • Collaborative Cross
  • QTL mapping
  • adaptive immunity
  • immunogenetics
  • mouse models
  • regulatory T cells

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)

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