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Shotgun redox proteomics identifies specifically modified cysteines in key metabolic enzymes under oxidative stress in Saccharomyces cerevisiae

Overview of attention for article published in Journal of Proteomics, May 2009
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Title
Shotgun redox proteomics identifies specifically modified cysteines in key metabolic enzymes under oxidative stress in Saccharomyces cerevisiae
Published in
Journal of Proteomics, May 2009
DOI 10.1016/j.jprot.2009.01.023
Pubmed ID
Authors

Brian McDonagh, Samuel Ogueta, Guillermo Lasarte, C. Alicia Padilla, José Antonio Bárcena

Abstract

Post-translational redox modification of thiol groups can form the molecular basis of antioxidative protection and redox control. We have implemented a shotgun redox proteomic technique to identify the precise cysteines reversibly oxidised in key proteins. The method was applied to Saccharomyces cerevisiae subjected to peroxide treatment. Enrichment by covalent redox affinity chromatography allowed the isolation of a "redox subpeptidome" that was analysed by LC-MS/MS. Unique peptides containing specific reversibly oxidised cysteines were used to identify over 70 proteins in control and treated samples of which 27 were consistently present in all replicates. In most cases, the redox modification negatively affects their function and slows down their metabolic pathways. Integration of the data provides a snapshot consistent with a metabolic defensive strategy, regulating key enzymes by redox modification, redirecting energy toward ribulose-5-phosphate recycling for NADPH production and antioxidative defence.This generally applicable method has allowed us to discover new redox regulated proteins (DAHP and carbamoylphosphate synthases, Doa1p) and to precisely identify target cysteines in a number of known ones.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Germany 1 2%
Portugal 1 2%
Japan 1 2%
Netherlands 1 2%
Unknown 60 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 26%
Researcher 17 26%
Professor > Associate Professor 7 11%
Student > Master 6 9%
Student > Postgraduate 3 5%
Other 9 14%
Unknown 7 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 47%
Biochemistry, Genetics and Molecular Biology 16 24%
Chemistry 3 5%
Medicine and Dentistry 3 5%
Unspecified 2 3%
Other 3 5%
Unknown 8 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 29 May 2014.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Journal of Proteomics
#2,625
of 3,461 outputs
Outputs of similar age
#95,888
of 104,033 outputs
Outputs of similar age from Journal of Proteomics
#2
of 2 outputs
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