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A mathematical model of metabolism and regulation provides a systems-level view of how Escherichia coli responds to oxygen

Overview of attention for article published in Frontiers in Microbiology, March 2014
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Title
A mathematical model of metabolism and regulation provides a systems-level view of how Escherichia coli responds to oxygen
Published in
Frontiers in Microbiology, March 2014
DOI 10.3389/fmicb.2014.00124
Pubmed ID
Authors

Michael Ederer, Sonja Steinsiek, Stefan Stagge, Matthew D. Rolfe, Alexander Ter Beek, David Knies, M. Joost Teixeira de Mattos, Thomas Sauter, Jeffrey Green, Robert K. Poole, Katja Bettenbrock, Oliver Sawodny

Abstract

The efficient redesign of bacteria for biotechnological purposes, such as biofuel production, waste disposal or specific biocatalytic functions, requires a quantitative systems-level understanding of energy supply, carbon, and redox metabolism. The measurement of transcript levels, metabolite concentrations and metabolic fluxes per se gives an incomplete picture. An appreciation of the interdependencies between the different measurement values is essential for systems-level understanding. Mathematical modeling has the potential to provide a coherent and quantitative description of the interplay between gene expression, metabolite concentrations, and metabolic fluxes. Escherichia coli undergoes major adaptations in central metabolism when the availability of oxygen changes. Thus, an integrated description of the oxygen response provides a benchmark of our understanding of carbon, energy, and redox metabolism. We present the first comprehensive model of the central metabolism of E. coli that describes steady-state metabolism at different levels of oxygen availability. Variables of the model are metabolite concentrations, gene expression levels, transcription factor activities, metabolic fluxes, and biomass concentration. We analyze the model with respect to the production capabilities of central metabolism of E. coli. In particular, we predict how precursor and biomass concentration are affected by product formation.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Germany 1 1%
Australia 1 1%
Sweden 1 1%
India 1 1%
Spain 1 1%
Japan 1 1%
Unknown 84 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 25%
Researcher 21 23%
Student > Master 16 18%
Student > Bachelor 6 7%
Professor 5 5%
Other 14 15%
Unknown 6 7%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 31%
Biochemistry, Genetics and Molecular Biology 26 29%
Environmental Science 7 8%
Engineering 4 4%
Mathematics 3 3%
Other 14 15%
Unknown 9 10%
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 27 March 2014.
All research outputs
#20,226,756
of 22,751,628 outputs
Outputs from Frontiers in Microbiology
#22,208
of 24,617 outputs
Outputs of similar age
#192,070
of 224,543 outputs
Outputs of similar age from Frontiers in Microbiology
#104
of 127 outputs
Altmetric has tracked 22,751,628 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,617 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 224,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 127 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.