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The Emergence and Functional Fitness of Memory CD4+ T Cells Require the Transcription Factor Thpok.

Immunity | 2019

Memory CD4+ T cells mediate long-term immunity, and their generation is a key objective of vaccination strategies. However, the transcriptional circuitry controlling the emergence of memory cells from early CD4+ antigen-responders remains poorly understood. Here, using single-cell RNA-seq to study the transcriptome of virus-specific CD4+ T cells, we identified a gene signature that distinguishes potential memory precursors from effector cells. We found that both that signature and the emergence of memory CD4+ T cells required the transcription factor Thpok. We further demonstrated that Thpok cell-intrinsically protected memory cells from a dysfunctional, effector-like transcriptional program, similar to but distinct from the exhaustion pattern of cells responding to chronic infection. Mechanistically, Thpok- bound genes encoding the transcription factors Blimp1 and Runx3 and acted by antagonizing their expression. Thus, a Thpok-dependent circuitry promotes both memory CD4+ T cells' differentiation and functional fitness, two previously unconnected critical attributes of adaptive immunity.

Pubmed ID: 30638736 RIS Download

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Associated grants

  • Agency: NIAID NIH HHS, United States
    Id: R01 AI108626
  • Agency: Intramural NIH HHS, United States
    Id: Z99 CA999999
  • Agency: Intramural NIH HHS, United States
    Id: ZIA NS003111-10

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This is a list of tools and resources that we have found mentioned in this publication.


PRISM (tool)

RRID:SCR_005375

THIS RESOURCE IS NO LONGER IN SERVICE. Documented on May 5,2022.Tool that predicts interactions between transcription factors and their regulated genes from binding motifs. Understanding vertebrate development requires unraveling the cis-regulatory architecture of gene regulation. PRISM provides accurate genome-wide computational predictions of transcription factor binding sites for the human and mouse genomes, and integrates the predictions with GREAT to provide functional biological context. Together, accurate computational binding site prediction and GREAT produce for each transcription factor: 1. putative binding sites, 2. putative target genes, 3. putative biological roles of the transcription factor, and 4. putative cis-regulatory elements through which the factor regulates each target in each functional role.

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QIAGEN (tool)

RRID:SCR_008539

A commercial organization which provides assay technologies to isolate DNA, RNA, and proteins from any biological sample. Assay technologies are then used to make specific target biomolecules, such as the DNA of a specific virus, visible for subsequent analysis.

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RRID:AB_2572143

This monoclonal targets CD186

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PE anti-mouse CD366 (Tim-3) (antibody)

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CD45R/B220 (antibody)

RRID:AB_10562193

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