Protein structure, amino acid composition and sequence determine proteome vulnerability to oxidation-induced damage.


Journal

The EMBO journal
ISSN: 1460-2075
Titre abrégé: EMBO J
Pays: England
ID NLM: 8208664

Informations de publication

Date de publication:
01 12 2020
Historique:
received: 09 03 2020
revised: 16 09 2020
accepted: 22 09 2020
pubmed: 20 10 2020
medline: 13 4 2021
entrez: 19 10 2020
Statut: ppublish

Résumé

Oxidative stress alters cell viability, from microorganism irradiation sensitivity to human aging and neurodegeneration. Deleterious effects of protein carbonylation by reactive oxygen species (ROS) make understanding molecular properties determining ROS susceptibility essential. The radiation-resistant bacterium Deinococcus radiodurans accumulates less carbonylation than sensitive organisms, making it a key model for deciphering properties governing oxidative stress resistance. We integrated shotgun redox proteomics, structural systems biology, and machine learning to resolve properties determining protein damage by γ-irradiation in Escherichia coli and D. radiodurans at multiple scales. Local accessibility, charge, and lysine enrichment accurately predict ROS susceptibility. Lysine, methionine, and cysteine usage also contribute to ROS resistance of the D. radiodurans proteome. Our model predicts proteome maintenance machinery, and proteins protecting against ROS are more resistant in D. radiodurans. Our findings substantiate that protein-intrinsic protection impacts oxidative stress resistance, identifying causal molecular properties.

Identifiants

pubmed: 33073387
doi: 10.15252/embj.2020104523
pmc: PMC7705453
doi:

Substances chimiques

Bacterial Proteins 0
Proteome 0
Reactive Oxygen Species 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

e104523

Subventions

Organisme : Life Sciences Research Foundation (LSRF)
ID : GBMF 2550.04
Organisme : Fonds De La Recherche Scientifique - FNRS (FNRS)

Informations de copyright

© 2020 The Authors. Published under the terms of the CC BY NC ND 4.0 license.

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Auteurs

Roger L Chang (RL)

Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.
Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.

Julian A Stanley (JA)

Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.

Matthew C Robinson (MC)

Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.

Joel W Sher (JW)

Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.

Zhanwen Li (Z)

Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA, USA.

Yujia A Chan (YA)

Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.
Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.

Ashton R Omdahl (AR)

Department of Systems Biology, Blavatnik Institute at Harvard Medical School, Boston, MA, USA.

Ruddy Wattiez (R)

Department of Proteomics and Microbiology, Research Institute for Biosciences, University of Mons, Mons, Belgium.

Adam Godzik (A)

Division of Biomedical Sciences, University of California Riverside School of Medicine, Riverside, CA, USA.

Sabine Matallana-Surget (S)

Division of Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK.

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