A system-wide network reconstruction of gene regulation and metabolism in Escherichia coli
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چکیده
منابع مشابه
A system-wide network reconstruction of gene regulation and metabolism in Escherichia coli
Genome-scale metabolic models have become a fundamental tool for examining metabolic principles. However, metabolism is not solely characterized by the underlying biochemical reactions and catalyzing enzymes, but also affected by regulatory events. Since the pioneering work of Covert and co-workers as well as Shlomi and co-workers it is debated, how regulation and metabolism synergistically cha...
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The maltose system of Escherichia coli offers an unusually rich set of enzymes, transporters, and regulators as objects of study. This system is responsible for the uptake and metabolism of glucose polymers (maltodextrins), which must be a preferred class of nutrients for E. coli in both mammalian hosts and in the environment. Because the metabolism of glucose polymers must be coordinated with ...
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The genes of the Escherichia coli maltose regulon are controlled by MalT, the specific transcriptional activator which, together with the inducer maltotriose and ATP, is essential for mal gene transcription. Network regulation in this system affects the function of MalT and occurs on two levels. The first concerns the expression of malT. It has long been known that malT is under catabolite repr...
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In the face of changes in their environment, bacteria adjust gene expression levels and produce appropriate responses. The individual layers of this process have been widely studied: the transcriptional regulatory network describes the regulatory interactions that produce changes in the metabolic network, both of which are coordinated by the signaling network, but the interplay between them has...
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We have created a genome-scale network reconstruction of Escherichia coli metabolism. Existing reconstructions were improved in terms of annotation standards, to facilitate their subsequent use in dynamic modelling. The resultant network is available from EcoliNet (http://ecoli.sf.net/).
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ژورنال
عنوان ژورنال: PLOS Computational Biology
سال: 2019
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1006962