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Rules Governing Selective Protein Carbonylation

BACKGROUND: Carbonyl derivatives are mainly formed by direct metal-catalysed oxidation (MCO) attacks on the amino-acid side chains of proline, arginine, lysine and threonine residues. For reasons unknown, only some proteins are prone to carbonylation. METHODOLOGY/PRINCIPAL FINDINGS: We used mass spe...

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Autores principales: Maisonneuve, Etienne, Ducret, Adrien, Khoueiry, Pierre, Lignon, Sabrina, Longhi, Sonia, Talla, Emmanuel, Dukan, Sam
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751825/
https://www.ncbi.nlm.nih.gov/pubmed/19802390
http://dx.doi.org/10.1371/journal.pone.0007269
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author Maisonneuve, Etienne
Ducret, Adrien
Khoueiry, Pierre
Lignon, Sabrina
Longhi, Sonia
Talla, Emmanuel
Dukan, Sam
author_facet Maisonneuve, Etienne
Ducret, Adrien
Khoueiry, Pierre
Lignon, Sabrina
Longhi, Sonia
Talla, Emmanuel
Dukan, Sam
author_sort Maisonneuve, Etienne
collection PubMed
description BACKGROUND: Carbonyl derivatives are mainly formed by direct metal-catalysed oxidation (MCO) attacks on the amino-acid side chains of proline, arginine, lysine and threonine residues. For reasons unknown, only some proteins are prone to carbonylation. METHODOLOGY/PRINCIPAL FINDINGS: We used mass spectrometry analysis to identify carbonylated sites in: BSA that had undergone in vitro MCO, and 23 carbonylated proteins in Escherichia coli. The presence of a carbonylated site rendered the neighbouring carbonylatable site more prone to carbonylation. Most carbonylated sites were present within hot spots of carbonylation. These observations led us to suggest rules for identifying sites more prone to carbonylation. We used these rules to design an in silico model (available at http://www.lcb.cnrs-mrs.fr/CSPD/), allowing an effective and accurate prediction of sites and of proteins more prone to carbonylation in the E. coli proteome. CONCLUSIONS/SIGNIFICANCE: We observed that proteins evolve to either selectively maintain or lose predicted hot spots of carbonylation depending on their biological function. As our predictive model also allows efficient detection of carbonylated proteins in Bacillus subtilis, we believe that our model may be extended to direct MCO attacks in all organisms.
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spelling pubmed-27518252009-10-05 Rules Governing Selective Protein Carbonylation Maisonneuve, Etienne Ducret, Adrien Khoueiry, Pierre Lignon, Sabrina Longhi, Sonia Talla, Emmanuel Dukan, Sam PLoS One Research Article BACKGROUND: Carbonyl derivatives are mainly formed by direct metal-catalysed oxidation (MCO) attacks on the amino-acid side chains of proline, arginine, lysine and threonine residues. For reasons unknown, only some proteins are prone to carbonylation. METHODOLOGY/PRINCIPAL FINDINGS: We used mass spectrometry analysis to identify carbonylated sites in: BSA that had undergone in vitro MCO, and 23 carbonylated proteins in Escherichia coli. The presence of a carbonylated site rendered the neighbouring carbonylatable site more prone to carbonylation. Most carbonylated sites were present within hot spots of carbonylation. These observations led us to suggest rules for identifying sites more prone to carbonylation. We used these rules to design an in silico model (available at http://www.lcb.cnrs-mrs.fr/CSPD/), allowing an effective and accurate prediction of sites and of proteins more prone to carbonylation in the E. coli proteome. CONCLUSIONS/SIGNIFICANCE: We observed that proteins evolve to either selectively maintain or lose predicted hot spots of carbonylation depending on their biological function. As our predictive model also allows efficient detection of carbonylated proteins in Bacillus subtilis, we believe that our model may be extended to direct MCO attacks in all organisms. Public Library of Science 2009-10-05 /pmc/articles/PMC2751825/ /pubmed/19802390 http://dx.doi.org/10.1371/journal.pone.0007269 Text en Maisonneuve et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Maisonneuve, Etienne
Ducret, Adrien
Khoueiry, Pierre
Lignon, Sabrina
Longhi, Sonia
Talla, Emmanuel
Dukan, Sam
Rules Governing Selective Protein Carbonylation
title Rules Governing Selective Protein Carbonylation
title_full Rules Governing Selective Protein Carbonylation
title_fullStr Rules Governing Selective Protein Carbonylation
title_full_unstemmed Rules Governing Selective Protein Carbonylation
title_short Rules Governing Selective Protein Carbonylation
title_sort rules governing selective protein carbonylation
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2751825/
https://www.ncbi.nlm.nih.gov/pubmed/19802390
http://dx.doi.org/10.1371/journal.pone.0007269
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