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accession-icon GSE15750
Enhancing CD8 T Cell Memory by Modulating Fatty Acid Metabolism
  • organism-icon Mus musculus
  • sample-icon 2 Downloadable Samples
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Description

CD8 T cells play a crucial role in immunity to infection and cancer. They are maintained in constant numbers, but upon stimulation with antigen undergo a developmental program characterized by distinct phases encompassing the expansion and then contraction of antigen-specific populations, followed by the persistence of long-lived memory cells. Although this predictable pattern of a CD8 T cell response is well established, the underlying cellular mechanisms regulating the transition to memory remain undefined. Here we show that TRAF6, an adapter protein in the TNF-receptor (TNFR) and IL-1R/TLR superfamily, regulates CD8 T cell memory development following infection by modulating fatty acid metabolism. We show that mice with a T cell-specific deletion of TRAF6 mount robust primary CD8 T cell effector responses, but have a profound defect in their ability to generate memory. This defect is CD8 T cell intrinsic and is characterized by the disappearance of antigen-specific cells in the weeks following primary immunization. Microarray analyses revealed that TRAF6-deficient CD8 T cells from early timepoints following immunization exhibit altered expression of genes that regulate fatty acid metabolism. Consistent with this, activated CD8 T cells lacking TRAF6 are unable to upregulate mitochondrial -oxidation in response to growth factor withdrawal in vitro. Treatment with drugs that induce fatty acid oxidation enabled CD8 T cell memory generation in the absence of TRAF6. Remarkably, these treatments also increased CD8 T cell memory in wild type mice, and consequently were able to significantly improve the efficacy of an experimental anti-cancer vaccine.

Publication Title

Enhancing CD8 T-cell memory by modulating fatty acid metabolism.

Alternate Accession IDs

E-GEOD-15750

Sample Metadata Fields

Specimen part, Time

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refine.bio is a repository of uniformly processed and normalized, ready-to-use transcriptome data from publicly available sources. refine.bio is a project of the Childhood Cancer Data Lab (CCDL)

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Cite refine.bio

Casey S. Greene, Dongbo Hu, Richard W. W. Jones, Stephanie Liu, David S. Mejia, Rob Patro, Stephen R. Piccolo, Ariel Rodriguez Romero, Hirak Sarkar, Candace L. Savonen, Jaclyn N. Taroni, William E. Vauclain, Deepashree Venkatesh Prasad, Kurt G. Wheeler. refine.bio: a resource of uniformly processed publicly available gene expression datasets.
URL: https://www.refine.bio

Note that the contributor list is in alphabetical order as we prepare a manuscript for submission.

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