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Kinetic analysis of the interactions between plant thioredoxin and target proteins

Overview of attention for article published in Frontiers in Plant Science, January 2013
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Title
Kinetic analysis of the interactions between plant thioredoxin and target proteins
Published in
Frontiers in Plant Science, January 2013
DOI 10.3389/fpls.2013.00508
Pubmed ID
Authors

Satoshi Hara, Toru Hisabori

Abstract

Thioredoxin is a critical protein that mediates the transfer of reducing equivalents in vivo and regulates redox sensitive enzymes in several cases. In addition, thioredoxin provides reducing equivalents to oxidoreductases such as peroxiredoxin. Through a dithiol-disulfide exchange reaction, the reduced form of thioredoxin preferentially interacts with the oxidized forms of targets, which are immediately released after this reaction is complete. In order to more thoroughly characterize these interactions between thioredoxin and its target proteins, a mutant version of thioredoxin that lacked the second cysteine was synthesized and interactions were monitored by surface plasmon resonance. The binding rates of thioredoxin to its targets were very different depending on the use of reducing equivalents by the targets: the enzymes whose activity was controlled by reduction or oxidation of a cysteine pair(s) in the molecule and the enzymes that used reducing equivalents provided by thioredoxin for their catalysis. In addition, thioredoxin revealed a stronger preference for an oxidized target. These results explain the reason for selective association of thioredoxin with oxidized targets for reduction, whereas immediate dissociation from a reduced target when the dithiol-disulfide exchange reaction is complete.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Ph. D. Student 7 21%
Student > Doctoral Student 4 12%
Professor > Associate Professor 3 9%
Student > Master 3 9%
Other 2 6%
Unknown 8 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 35%
Agricultural and Biological Sciences 10 29%
Economics, Econometrics and Finance 1 3%
Physics and Astronomy 1 3%
Chemistry 1 3%
Other 0 0%
Unknown 9 26%