Journal article
Diverse CD8 T Cell Responses to Viral Infection Revealed by the Collaborative Cross
Cell reports (Cambridge), Vol.31(2), pp.107508-107508
04/14/2020
DOI: 10.1016/j.celrep.2020.03.072
PMID: 32294433
Abstract
Enhanced host protection against re-infection requires generation of memory T cells of sufficient quantity and functional quality. Unlike well-studied inbred mice, T cell responses of diverse size and quality are generated following infection of humans and outbred mice. Thus, additional models are needed that accurately reflect variation in immune outcomes in genetically diverse populations and to uncover underlying genetic causes. The Collaborative Cross (CC), a large recombinant inbred panel of mice, is an ideal model in this pursuit for the high degree of genetic variation present, because it allows for assessment of genetic factors underlying unique phenotypes. Here, we advance the utility of the CC as a tool to analyze the immune response to viral infection. We describe variability in resting immune cell composition and adaptive immune responses generated among CC strains following systemic virus infection and reveal quantitative trait loci responsible for generation of CD62L+ memory CD8 T cells.
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•The Collaborative Cross (CC) models generation of T cell responses of various quantity•The CC models generation of qualitatively diverse memory CD8 T cells in response to LCMV•QTL mapping reveals candidate genes underlying generation of CD8 T central memory
Martin et al. advance the use of the Collaborative Cross (CC) for studying adaptive immune responses. They demonstrate that the CC better models variation in T cell responses seen in outbred mice and humans and that it can uncover genes linked to generation of qualitatively distinct memory cells following infection.
Details
- Title: Subtitle
- Diverse CD8 T Cell Responses to Viral Infection Revealed by the Collaborative Cross
- Creators
- Matthew D Martin - University of IowaRamakrishna Sompallae - University of IowaChristina S Winborn - University of IowaJohn T Harty - University of IowaVladimir P Badovinac - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Cell reports (Cambridge), Vol.31(2), pp.107508-107508
- Publisher
- Elsevier Inc
- DOI
- 10.1016/j.celrep.2020.03.072
- PMID
- 32294433
- ISSN
- 2211-1247
- eISSN
- 2211-1247
- Grant note
- DOI: 10.13039/100000002, name: NIH, award: AI42767, AI85515, AI100527, AI114543, AI147064, GM113961, GM134880
- Language
- English
- Date published
- 04/14/2020
- Academic Unit
- Microbiology and Immunology; Pathology
- Record Identifier
- 9984181071502771
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