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Bistability of Mitochondrial Respiration Underlies Paradoxical Reactive Oxygen Species Generation Induced by Anoxia

Overview of attention for article published in PLoS Computational Biology, December 2009
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Title
Bistability of Mitochondrial Respiration Underlies Paradoxical Reactive Oxygen Species Generation Induced by Anoxia
Published in
PLoS Computational Biology, December 2009
DOI 10.1371/journal.pcbi.1000619
Pubmed ID
Authors

Vitaly A. Selivanov, Tatyana V. Votyakova, Jennifer A. Zeak, Massimo Trucco, Josep Roca, Marta Cascante

Abstract

Increased production of reactive oxygen species (ROS) in mitochondria underlies major systemic diseases, and this clinical problem stimulates a great scientific interest in the mechanism of ROS generation. However, the mechanism of hypoxia-induced change in ROS production is not fully understood. To mathematically analyze this mechanism in details, taking into consideration all the possible redox states formed in the process of electron transport, even for respiratory complex III, a system of hundreds of differential equations must be constructed. Aimed to facilitate such tasks, we developed a new methodology of modeling, which resides in the automated construction of large sets of differential equations. The detailed modeling of electron transport in mitochondria allowed for the identification of two steady state modes of operation (bistability) of respiratory complex III at the same microenvironmental conditions. Various perturbations could induce the transition of respiratory chain from one steady state to another. While normally complex III is in a low ROS producing mode, temporal anoxia could switch it to a high ROS producing state, which persists after the return to normal oxygen supply. This prediction, which we qualitatively validated experimentally, explains the mechanism of anoxia-induced cell damage. Recognition of bistability of complex III operation may enable novel therapeutic strategies for oxidative stress and our method of modeling could be widely used in systems biology studies.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 3 5%
United States 2 3%
Sweden 1 2%
India 1 2%
France 1 2%
China 1 2%
Germany 1 2%
Canada 1 2%
Luxembourg 1 2%
Other 0 0%
Unknown 47 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 29%
Student > Ph. D. Student 10 17%
Student > Doctoral Student 5 8%
Professor 5 8%
Student > Postgraduate 3 5%
Other 11 19%
Unknown 8 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 36%
Medicine and Dentistry 9 15%
Biochemistry, Genetics and Molecular Biology 5 8%
Computer Science 4 7%
Mathematics 3 5%
Other 9 15%
Unknown 8 14%