2017
DOI: 10.1002/biot.201600570
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An integrated network analysis identifies how ArcAB enables metabolic oscillations in the nitric oxide detoxification network of Escherichia coli

Abstract: The virulences of many pathogens depend on their abilities to detoxify the immune antimicrobial nitric oxide (NO•). The functions of bacterial NO• detoxification machinery depend on oxygen (O ), with O inhibiting some enzymes, whereas others use it as a substrate. Previously, Escherichia coli NO• detoxification was found to be highly attenuated under microaerobic conditions and metabolic oscillations were observed. The oscillations in [NO•] and [O ] were found to result from the inhibitory action of NO• on aer… Show more

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Cited by 2 publications
(2 citation statements)
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“…To quantitatively explore the relationship between delivery dynamics and antimicrobial efficacy, we trained a kinetic model of NO stress in E. coli using the data obtained at 6 and 18 µmol. The model was developed in previous studies (Robinson and Brynildsen, 2013, 2016aRobinson et al, 2014a,b;Sacco et al, 2017) and expanded upon here. Specifically, the model was adjusted to comply with fed-batch systems and cellular growth was incorporated and assumed to depend on the availability of aerobic cytochrome oxidases for respiration.…”
Section: Computational Modeling Of No Stressmentioning
confidence: 99%
“…To quantitatively explore the relationship between delivery dynamics and antimicrobial efficacy, we trained a kinetic model of NO stress in E. coli using the data obtained at 6 and 18 µmol. The model was developed in previous studies (Robinson and Brynildsen, 2013, 2016aRobinson et al, 2014a,b;Sacco et al, 2017) and expanded upon here. Specifically, the model was adjusted to comply with fed-batch systems and cellular growth was incorporated and assumed to depend on the availability of aerobic cytochrome oxidases for respiration.…”
Section: Computational Modeling Of No Stressmentioning
confidence: 99%
“…The H 2 O 2 and NO· biochemical reaction networks of E. coli are complex, and dynamic models have proven useful in quantifying the distributions of these toxic metabolites and exploring system behaviors (29)(30)(31)(32)(33)(34)(35). These previously developed models included detoxification by antioxidants and enzymes, transcriptional regulation and inactivation of enzymes, damage and repair of DNA and Fe-S clusters, and destruction of amino acids by the hydroxyl radical, ·OH, and they were compartmentalized (intracellular, media, and gaseous) to account for the cell-dependent and cell-independent reactions.…”
mentioning
confidence: 99%