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Multistationary and Oscillatory Modes of Free Radicals Generation by the Mitochondrial Respiratory Chain Revealed by a Bifurcation Analysis

Overview of attention for article published in PLoS Computational Biology, September 2012
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  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

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Title
Multistationary and Oscillatory Modes of Free Radicals Generation by the Mitochondrial Respiratory Chain Revealed by a Bifurcation Analysis
Published in
PLoS Computational Biology, September 2012
DOI 10.1371/journal.pcbi.1002700
Pubmed ID
Authors

Vitaly A. Selivanov, Marta Cascante, Mark Friedman, Mark F. Schumaker, Massimo Trucco, Tatyana V. Votyakova

Abstract

The mitochondrial electron transport chain transforms energy satisfying cellular demand and generates reactive oxygen species (ROS) that act as metabolic signals or destructive factors. Therefore, knowledge of the possible modes and bifurcations of electron transport that affect ROS signaling provides insight into the interrelationship of mitochondrial respiration with cellular metabolism. Here, a bifurcation analysis of a sequence of the electron transport chain models of increasing complexity was used to analyze the contribution of individual components to the modes of respiratory chain behavior. Our algorithm constructed models as large systems of ordinary differential equations describing the time evolution of the distribution of redox states of the respiratory complexes. The most complete model of the respiratory chain and linked metabolic reactions predicted that condensed mitochondria produce more ROS at low succinate concentration and less ROS at high succinate levels than swelled mitochondria. This prediction was validated by measuring ROS production under various swelling conditions. A numerical bifurcation analysis revealed qualitatively different types of multistationary behavior and sustained oscillations in the parameter space near a region that was previously found to describe the behavior of isolated mitochondria. The oscillations in transmembrane potential and ROS generation, observed in living cells were reproduced in the model that includes interaction of respiratory complexes with the reactions of TCA cycle. Whereas multistationarity is an internal characteristic of the respiratory chain, the functional link of respiration with central metabolism creates oscillations, which can be understood as a means of auto-regulation of cell metabolism.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Germany 1 3%
Canada 1 3%
Unknown 35 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 32%
Student > Ph. D. Student 6 16%
Professor 4 11%
Professor > Associate Professor 3 8%
Student > Bachelor 2 5%
Other 4 11%
Unknown 7 18%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 32%
Computer Science 4 11%
Medicine and Dentistry 4 11%
Biochemistry, Genetics and Molecular Biology 3 8%
Engineering 2 5%
Other 5 13%
Unknown 8 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 20 August 2023.
All research outputs
#8,436,218
of 25,394,764 outputs
Outputs from PLoS Computational Biology
#5,592
of 8,964 outputs
Outputs of similar age
#64,047
of 188,976 outputs
Outputs of similar age from PLoS Computational Biology
#54
of 118 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 8,964 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 188,976 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.