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Metallochaperones Regulate Intracellular Copper Levels

Overview of attention for article published in PLoS Computational Biology, January 2013
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Title
Metallochaperones Regulate Intracellular Copper Levels
Published in
PLoS Computational Biology, January 2013
DOI 10.1371/journal.pcbi.1002880
Pubmed ID
Authors

W. Lee Pang, Amardeep Kaur, Alexander V. Ratushny, Aleksandar Cvetkovic, Sunil Kumar, Min Pan, Adam P. Arkin, John D. Aitchison, Michael W. W. Adams, Nitin S. Baliga

Abstract

Copper (Cu) is an important enzyme co-factor that is also extremely toxic at high intracellular concentrations, making active efflux mechanisms essential for preventing Cu accumulation. Here, we have investigated the mechanistic role of metallochaperones in regulating Cu efflux. We have constructed a computational model of Cu trafficking and efflux based on systems analysis of the Cu stress response of Halobacterium salinarum. We have validated several model predictions via assays of transcriptional dynamics and intracellular Cu levels, discovering a completely novel function for metallochaperones. We demonstrate that in addition to trafficking Cu ions, metallochaperones also function as buffers to modulate the transcriptional responsiveness and efficacy of Cu efflux. This buffering function of metallochaperones ultimately sets the upper limit for intracellular Cu levels and provides a mechanistic explanation for previously observed Cu metallochaperone mutation phenotypes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Russia 1 2%
Brazil 1 2%
Unknown 46 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 27%
Researcher 11 22%
Student > Bachelor 4 8%
Professor > Associate Professor 4 8%
Student > Master 4 8%
Other 8 16%
Unknown 5 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Biochemistry, Genetics and Molecular Biology 14 29%
Computer Science 3 6%
Chemistry 3 6%
Environmental Science 2 4%
Other 6 12%
Unknown 6 12%