Dynamic post-translational modification profiling of M. tuberculosis-infected primary macrophages

  1. Jonathan M Budzik
  2. Danielle L Swaney
  3. David Jimenez-Morales
  4. Jeffrey R Johnson
  5. Nicholas E Garelis
  6. Teresa Repasy
  7. Allison W Roberts
  8. Lauren M Popov
  9. Trevor J Parry
  10. Dexter Pratt
  11. Trey Ideker
  12. Nevan J Krogan
  13. Jeffery S Cox  Is a corresponding author
  1. University of California, San Francisco, United States
  2. University of California, Berkeley, United States
  3. University of California, San Diego, United States

Abstract

Macrophages are highly plastic cells with critical roles in immunity, cancer, and tissue homeostasis, but how these distinct cellular fates are triggered by environmental cues is poorly understood. To uncover how primary murine macrophages respond to bacterial pathogens, we globally assessed changes in post-translational modifications of proteins during infection with Mycobacterium tuberculosis, a notorious intracellular pathogen. We identified hundreds of dynamically regulated phosphorylation and ubiquitylation sites, indicating that dramatic remodeling of multiple host pathways, both expected and unexpected, occurred during infection. Most of these cellular changes were not captured by mRNA profiling, and included activation of ubiquitin-mediated autophagy, an evolutionarily ancient cellular antimicrobial system. This analysis also revealed that a particular autophagy receptor, TAX1BP1, mediates clearance of ubiquitylated Mtb and targets bacteria to LC3-positive phagophores. These studies provide a new resource for understanding how macrophages shape their proteome to meet the challenge of infection.

Data availability

The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the dataset identifier PXD015361.

The following data sets were generated

Article and author information

Author details

  1. Jonathan M Budzik

    Department of Medicine, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  2. Danielle L Swaney

    Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6119-6084
  3. David Jimenez-Morales

    Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  4. Jeffrey R Johnson

    Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francsico, United States
    Competing interests
    The authors declare that no competing interests exist.
  5. Nicholas E Garelis

    Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  6. Teresa Repasy

    Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  7. Allison W Roberts

    Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0001-6681-4144
  8. Lauren M Popov

    Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  9. Trevor J Parry

    Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
    Competing interests
    The authors declare that no competing interests exist.
  10. Dexter Pratt

    Department of Medicine, University of California, San Diego, San Diego, United States
    Competing interests
    The authors declare that no competing interests exist.
  11. Trey Ideker

    Department of Medicine, University of California, San Diego, San Diego, United States
    Competing interests
    The authors declare that no competing interests exist.
  12. Nevan J Krogan

    Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, United States
    Competing interests
    The authors declare that no competing interests exist.
  13. Jeffery S Cox

    Department of Molecular and Cell Biology, University of California, Berkeley, Berkeley, United States
    For correspondence
    jeff.cox@berkeley.edu
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon "This ORCID iD identifies the author of this article:" 0000-0002-5061-6618

Funding

National Institute of Allergy and Infectious Diseases (P01 AI063302)

  • Jeffery S Cox

Cystic Fibrosis Foundation (Harry Shwachman Award)

  • Jonathan M Budzik

National Institute of Allergy and Infectious Diseases (P01 AI063302)

  • Nevan J Krogan

National Institute of General Medical Sciences (P50 GM082250)

  • Nevan J Krogan

National Institute of Allergy and Infectious Diseases (U19 AI106754)

  • Nevan J Krogan

National Institute of Allergy and Infectious Diseases (U19 AI106754)

  • Jeffery S Cox

National Institute of Allergy and Infectious Diseases (DP1 AI124619)

  • Jeffery S Cox

National Institute of Allergy and Infectious Diseases (R01 AI120694)

  • Jeffery S Cox

National Institute of Allergy and Infectious Diseases (R01 AI120694)

  • Nevan J Krogan

National Institute of Allergy and Infectious Diseases (1K08AI146267)

  • Jonathan M Budzik

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

Ethics

Animal experimentation: An animal use protocol (AUP-2015-11-8096) for mouse use was approved by the Office of Laboratory and Animal Care at the University of California, Berkeley, in adherence with guidelines from the Guide for the Care and Use of Laboratory Animals of the National Institutes of Health.

Copyright

© 2020, Budzik 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

  • 5,740
    views
  • 823
    downloads
  • 53
    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. Jonathan M Budzik
  2. Danielle L Swaney
  3. David Jimenez-Morales
  4. Jeffrey R Johnson
  5. Nicholas E Garelis
  6. Teresa Repasy
  7. Allison W Roberts
  8. Lauren M Popov
  9. Trevor J Parry
  10. Dexter Pratt
  11. Trey Ideker
  12. Nevan J Krogan
  13. Jeffery S Cox
(2020)
Dynamic post-translational modification profiling of M. tuberculosis-infected primary macrophages
eLife 9:e51461.
https://doi.org/10.7554/eLife.51461

Share this article

https://doi.org/10.7554/eLife.51461

Further reading

    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.

    1. Microbiology and Infectious Disease
    David Duneau, Pierre DM Lafont ... Jean-Baptiste Ferdy
    Research Article

    How are some individuals surviving infections while others die? The answer lies in how infected individuals invest into controlling pathogen proliferation and mitigating damage, two strategies respectively called resistance and disease tolerance. Pathogen within-host dynamics (WHD), influenced by resistance, and its connection to host survival, determined by tolerance, decide the infection outcome. To grasp these intricate effects of resistance and tolerance, we used a deterministic theoretical model where pathogens interact with the immune system of a host. The model describes the positive and negative regulation of the immune response, consider the way damage accumulate during the infection and predicts WHD. When chronic, infections stabilize at a Set-Point Pathogen Load (SPPL). Our model predicts that this situation can be transient, the SPPL being then a predictor of life span which depends on initial condition (e.g. inoculum). When stable, the SPPL is rather diagnostic of non lethal chronic infections. In lethal infections, hosts die at a Pathogen Load Upon Death (PLUD) which is almost independent from the initial conditions. As the SPPL, the PLUD is affected by both resistance and tolerance but we demonstrate that it can be used in conjunction with mortality measurement to distinguish the effect of disease tolerance from that of resistance. We validate empirically this new approach, using Drosophila melanogaster and the pathogen Providencia rettgeri. We found that, as predicted by the model, hosts that were wounded or deficient of key antimicrobial peptides had a higher PLUD, while Catalase mutant hosts, likely to have a default in disease tolerance, had a lower PLUD.