Protein structure, amino acid composition and sequence determine proteome vulnerability to oxidation-induced damage
© 2020 The Authors. Published under the terms of the CC BY NC ND 4.0 license..
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.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2020 |
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| Erschienen: |
2020 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:39 |
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| Enthalten in: |
The EMBO journal - 39(2020), 23 vom: 01. Dez., Seite e104523 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Chang, Roger L [VerfasserIn] |
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| Links: |
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| Anmerkungen: |
Date Completed 12.04.2021 Date Revised 12.04.2021 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.15252/embj.2020104523 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM316428108 |
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| 245 | 1 | 0 | |a Protein structure, amino acid composition and sequence determine proteome vulnerability to oxidation-induced damage |
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| 500 | |a Date Completed 12.04.2021 | ||
| 500 | |a Date Revised 12.04.2021 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2020 The Authors. Published under the terms of the CC BY NC ND 4.0 license. | ||
| 520 | |a 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 | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Deinococcus radiodurans | |
| 650 | 4 | |a oxidative stress | |
| 650 | 4 | |a protein carbonyl | |
| 650 | 4 | |a radioresistance | |
| 650 | 4 | |a structural systems biology | |
| 650 | 7 | |a Bacterial Proteins |2 NLM | |
| 650 | 7 | |a Proteome |2 NLM | |
| 650 | 7 | |a Reactive Oxygen Species |2 NLM | |
| 700 | 1 | |a Stanley, Julian A |e verfasserin |4 aut | |
| 700 | 1 | |a Robinson, Matthew C |e verfasserin |4 aut | |
| 700 | 1 | |a Sher, Joel W |e verfasserin |4 aut | |
| 700 | 1 | |a Li, Zhanwen |e verfasserin |4 aut | |
| 700 | 1 | |a Chan, Yujia A |e verfasserin |4 aut | |
| 700 | 1 | |a Omdahl, Ashton R |e verfasserin |4 aut | |
| 700 | 1 | |a Wattiez, Ruddy |e verfasserin |4 aut | |
| 700 | 1 | |a Godzik, Adam |e verfasserin |4 aut | |
| 700 | 1 | |a Matallana-Surget, Sabine |e verfasserin |4 aut | |
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