SMAD4 and TGFβ are architects of inverse genetic programs during fate-determination of antiviral CTLs

  1. Karthik Chandiran
  2. Jenny E Suarez-Ramirez
  3. Yinghong Hu
  4. Evan R Jellison
  5. Zenep Ugur
  6. Jun-Siong Low
  7. Bryan McDonald
  8. Susan M M Kaech
  9. Linda S Cauley  Is a corresponding author
  1. University of Connecticut Health Center, United States
  2. Emory University, United States
  3. Yale University, Switzerland
  4. Salk Institute for Biological Studies, United States

Abstract

Transforming growth factor β (TGFβ) is an important differentiation factor for cytotoxic T lymphocytes (CTLs) and alters the expression levels of several of homing-receptors during infection. SMAD4 is part of the canonical signaling network used by members of the transforming growth factor family. For this study, genetically-modified mice were used to determine how SMAD4 and TGFβ receptor II (TGFβRII) participate in transcriptional-programing of pathogen-specific CTLs. We show that these molecules are essential components of opposing signaling mechanisms, and cooperatively regulate a collection of genes that determine whether specialized populations of pathogen-specific CTLs circulate around the body, or settle in peripheral tissues. TGFb uses a canonical SMAD-dependent signaling pathway to down-regulate Eomesodermin (EOMES), KLRG1 and CD62L, while CD103 is induced. Conversely, in vivo and in vitro data show that EOMES, KLRG1, CX3CR1 and CD62L are positively-regulated via SMAD4, while CD103 and Hobit are downregulated. Intravascular staining shows that signaling via SMAD4 promotes formation of terminally-differentiated CTLs that localize in the vasculature. Our data shows that inflammatory molecules play a key role in lineage-determination of pathogen-specific CTLs, and use SMAD-dependent signaling to alter the expression levels of multiple homing-receptors and transcription factors with known functions during memory formation.

Data availability

Sequencing data have been deposited in GEO under accession codes GSE151637Figure 3-source data 1 contain the numerical data used to generate the figures

The following data sets were generated
The following previously published data sets were used

Article and author information

Author details

  1. Karthik Chandiran

    Department of Immunology, University of Connecticut Health Center, Farmington, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0003-2118-7946
  2. Jenny E Suarez-Ramirez

    Department of Immunology, University of Connecticut Health Center, Farmington, United States
    Competing interests
    The authors declare that no competing interests exist.
  3. Yinghong Hu

    Department of Microbiology and Immunology, Emory University, Atlanta, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Evan R Jellison

    Department of Immunology, University of Connecticut Health Center, Farmington, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Zenep Ugur

    Department of Immunology, University of Connecticut Health Center, Farmington, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Jun-Siong Low

    Department of Immunobiology, Yale University, Bellinzona, Switzerland
    Competing interests
    The authors declare that no competing interests exist.
  7. Bryan McDonald

    NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, San Diego, United States
    Competing interests
    The authors declare that no competing interests exist.
  8. Susan M M Kaech

    NOMIS Center for Immunobiology and Microbial Pathogenesis, Salk Institute for Biological Studies, San Diego, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Linda S Cauley

    Department of Immunology, University of Connecticut Health Center, Farmington, United States
    For correspondence
    lcauley@uchc.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-9488-0341

Funding

National Institute of Allergy and Infectious Diseases (R01 AI123864)

  • Susan M M Kaech
  • Linda S Cauley

American association for Immunologists (AAI Careers in Immunology Fellowship)

  • Linda S Cauley

University of Connecticut Health Center (bridge funding)

  • Linda S Cauley

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

Ethics

Animal experimentation: Experiments were performed in accordance with protocol AP-200531-0824 approved by the UCONN Health Institutional Animal Care and Use Committee (IACUC). Every effort was made to minimize suffering.

Copyright

© 2022, Chandiran 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

  • 1,103
    views
  • 263
    downloads
  • 7
    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. Karthik Chandiran
  2. Jenny E Suarez-Ramirez
  3. Yinghong Hu
  4. Evan R Jellison
  5. Zenep Ugur
  6. Jun-Siong Low
  7. Bryan McDonald
  8. Susan M M Kaech
  9. Linda S Cauley
(2022)
SMAD4 and TGFβ are architects of inverse genetic programs during fate-determination of antiviral CTLs
eLife 11:e76457.
https://doi.org/10.7554/eLife.76457

Share this article

https://doi.org/10.7554/eLife.76457

Further reading

    1. Immunology and Inflammation
    2. Microbiology and Infectious Disease
    Benita Martin-Castaño, Patricia Diez-Echave ... Julio Galvez
    Research Article

    Coronavirus disease 2019 (COVID-19) is a respiratory illness caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that displays great variability in clinical phenotype. Many factors have been described to be correlated with its severity, and microbiota could play a key role in the infection, progression, and outcome of the disease. SARS-CoV-2 infection has been associated with nasopharyngeal and gut dysbiosis and higher abundance of opportunistic pathogens. To identify new prognostic markers for the disease, a multicentre prospective observational cohort study was carried out in COVID-19 patients divided into three cohorts based on symptomatology: mild (n = 24), moderate (n = 51), and severe/critical (n = 31). Faecal and nasopharyngeal samples were taken, and the microbiota was analysed. Linear discriminant analysis identified Mycoplasma salivarium, Prevotella dentalis, and Haemophilus parainfluenzae as biomarkers of severe COVID-19 in nasopharyngeal microbiota, while Prevotella bivia and Prevotella timonensis were defined in faecal microbiota. Additionally, a connection between faecal and nasopharyngeal microbiota was identified, with a significant ratio between P. timonensis (faeces) and P. dentalis and M. salivarium (nasopharyngeal) abundances found in critically ill patients. This ratio could serve as a novel prognostic tool for identifying severe COVID-19 cases.

    1. Immunology and Inflammation
    2. Microbiology and Infectious Disease
    Yan Zhao, Hanshuo Zhu ... Li Sun
    Research Article

    Type III secretion system (T3SS) is a virulence apparatus existing in many bacterial pathogens. Structurally, T3SS consists of the base, needle, tip, and translocon. The NLRC4 inflammasome is the major receptor for T3SS needle and basal rod proteins. Whether other T3SS components are recognized by NLRC4 is unclear. In this study, using Edwardsiella tarda as a model intracellular pathogen, we examined T3SS−inflammasome interaction and its effect on cell death. E. tarda induced pyroptosis in a manner that required the bacterial translocon and the host inflammasome proteins of NLRC4, NLRP3, ASC, and caspase 1/4. The translocon protein EseB triggered NLRC4/NAIP-mediated pyroptosis by binding NAIP via its C-terminal region, particularly the terminal 6 residues (T6R). EseB homologs exist widely in T3SS-positive bacteria and share high identities in T6R. Like E. tarda EseB, all of the representatives of the EseB homologs exhibited T6R-dependent NLRC4 activation ability. Together these results revealed the function and molecular mechanism of EseB to induce host cell pyroptosis and suggested a highly conserved inflammasome-activation mechanism of T3SS translocon in bacterial pathogens.