Memory CD4 T cell subsets are kinetically heterogeneous and replenished from naive T cells at high levels

  1. Graeme Gossel
  2. Thea Hogan
  3. Daniel Cownden
  4. Benedict Seddon  Is a corresponding author
  5. Andrew J Yates  Is a corresponding author
  1. Hunter College, City University of New York, United States
  2. University College London, United Kingdom
  3. University of Glasgow, United Kingdom

Abstract

Characterising the longevity of immunological memory requires establishing the rules underlying the renewal and death of peripheral T cells. However, we lack knowledge of the population structure and how self-renewal and de novo influx contribute to maintenance of memory compartments. Here, we characterise the kinetics and structure of murine CD4 T cell memory subsets by measuring the rates of influx of new cells and using detailed timecourses of DNA labelling that also distinguish the behaviour of recently divided and quiescent cells. We find that both effector and central memory CD4 T cells comprise subpopulations with highly divergent rates of turnover, and show that inflows of new cells sourced from the naive pool strongly impact estimates of memory cell lifetimes and division rates. We also demonstrate that the maintenance of CD4 T cell memory subsets in healthy mice is unexpectedly and strikingly reliant on this replenishment.

Article and author information

Author details

  1. Graeme Gossel

    Department of Physics and Astronomy, Hunter College, City University of New York, New York, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Thea Hogan

    Institute of Immunity and Transplantation, University College London, London, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Daniel Cownden

    Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Benedict Seddon

    Institute of Immunity and Transplantation, University College London, London, United Kingdom
    For correspondence
    benedict.seddon@ucl.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
  5. Andrew J Yates

    Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow, United Kingdom
    For correspondence
    andrew.yates@glasgow.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-4606-4483

Funding

National Institutes of Health (R01 AI093870)

  • Andrew J Yates

Arthritis Research UK

  • Andrew J Yates

Medical Research Council (MC-PC-13055)

  • Thea Hogan
  • Benedict Seddon

National Science Foundation (1548123)

  • Graeme Gossel

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Rob de Boer, University of Utrecht, Netherlands

Ethics

Animal experimentation: All experiments were performed in accordance with UK Home Office regulations, project license number PPL70-8310.

Version history

  1. Received: November 5, 2016
  2. Accepted: March 4, 2017
  3. Accepted Manuscript published: March 10, 2017 (version 1)
  4. Version of Record published: May 11, 2017 (version 2)
  5. Version of Record updated: February 8, 2018 (version 3)

Copyright

© 2017, Gossel et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

Metrics

  • 5,228
    views
  • 970
    downloads
  • 54
    citations

Views, downloads and citations are aggregated across all versions of this paper published by eLife.

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Graeme Gossel
  2. Thea Hogan
  3. Daniel Cownden
  4. Benedict Seddon
  5. Andrew J Yates
(2017)
Memory CD4 T cell subsets are kinetically heterogeneous and replenished from naive T cells at high levels
eLife 6:e23013.
https://doi.org/10.7554/eLife.23013

Share this article

https://doi.org/10.7554/eLife.23013

Further reading

    1. Computational and Systems Biology
    2. Immunology and Inflammation
    Jose Borghans, Ruy M Ribeiro
    Insight

    Mathematical modeling reveals that long-term immunological memory is maintained in a manner that is even more dynamic than previously thought.

    1. Computational and Systems Biology
    2. Genetics and Genomics
    Lauren Kuffler, Daniel A Skelly ... Gregory W Carter
    Research Article

    Gene expression is known to be affected by interactions between local genetic variation and DNA accessibility, with the latter organized into three-dimensional chromatin structures. Analyses of these interactions have previously been limited, obscuring their regulatory context, and the extent to which they occur throughout the genome. Here, we undertake a genome-scale analysis of these interactions in a genetically diverse population to systematically identify global genetic–epigenetic interaction, and reveal constraints imposed by chromatin structure. We establish the extent and structure of genotype-by-epigenotype interaction using embryonic stem cells derived from Diversity Outbred mice. This mouse population segregates millions of variants from eight inbred founders, enabling precision genetic mapping with extensive genotypic and phenotypic diversity. With 176 samples profiled for genotype, gene expression, and open chromatin, we used regression modeling to infer genetic–epigenetic interactions on a genome-wide scale. Our results demonstrate that statistical interactions between genetic variants and chromatin accessibility are common throughout the genome. We found that these interactions occur within the local area of the affected gene, and that this locality corresponds to topologically associated domains (TADs). The likelihood of interaction was most strongly defined by the three-dimensional (3D) domain structure rather than linear DNA sequence. We show that stable 3D genome structure is an effective tool to guide searches for regulatory elements and, conversely, that regulatory elements in genetically diverse populations provide a means to infer 3D genome structure. We confirmed this finding with CTCF ChIP-seq that revealed strain-specific binding in the inbred founder mice. In stem cells, open chromatin participating in the most significant regression models demonstrated an enrichment for developmental genes and the TAD-forming CTCF-binding complex, providing an opportunity for statistical inference of shifting TAD boundaries operating during early development. These findings provide evidence that genetic and epigenetic factors operate within the context of 3D chromatin structure.