Literature DB >> 20483314

Functional characterization of alternate optimal solutions of Escherichia coli's transcriptional and translational machinery.

Ines Thiele1, Ronan M T Fleming, Aarash Bordbar, Jan Schellenberger, Bernhard Ø Palsson.   

Abstract

The constraint-based reconstruction and analysis approach has recently been extended to describe Escherichia coli's transcriptional and translational machinery. Here, we introduce the concept of reaction coupling to represent the dependency between protein synthesis and utilization. These coupling constraints lead to a significant contraction of the feasible set of steady-state fluxes. The subset of alternate optimal solutions (AOS) consistent with maximal ribosome production was calculated. The majority of transcriptional and translational reactions were active for all of these AOS, showing that the network has a low degree of redundancy. Furthermore, all calculated AOS contained the qualitative expression of at least 92% of the known essential genes. Principal component analysis of AOS demonstrated that energy currencies (ATP, GTP, and phosphate) dominate the network's capability to produce ribosomes. Additionally, we identified regulatory control points of the network, which include the transcription reactions of sigma70 (RpoD) as well as that of a degradosome component (Rne) and of tRNA charging (ValS). These reactions contribute significant variance among AOS. These results show that constraint-based modeling can be applied to gain insight into the systemic properties of E. coli's transcriptional and translational machinery. Copyright 2010 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20483314      PMCID: PMC2872367          DOI: 10.1016/j.bpj.2010.01.060

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  40 in total

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3.  Metabolic flux analysis of postburn hepatic hypermetabolism.

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4.  molecular mechanism of lysidine synthesis that determines tRNA identity and codon recognition.

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5.  Candidate metabolic network states in human mitochondria. Impact of diabetes, ischemia, and diet.

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Review 6.  Reconstruction of biochemical networks in microorganisms.

Authors:  Adam M Feist; Markus J Herrgård; Ines Thiele; Jennie L Reed; Bernhard Ø Palsson
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7.  EcoCyc: a comprehensive database resource for Escherichia coli.

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9.  Genome-scale reconstruction of Escherichia coli's transcriptional and translational machinery: a knowledge base, its mathematical formulation, and its functional characterization.

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Journal:  PLoS Comput Biol       Date:  2009-03-13       Impact factor: 4.475

10.  Using in silico models to simulate dual perturbation experiments: procedure development and interpretation of outcomes.

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  27 in total

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Review 2.  Using Genome-scale Models to Predict Biological Capabilities.

Authors:  Edward J O'Brien; Jonathan M Monk; Bernhard O Palsson
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3.  Anoxic Conditions Promote Species-Specific Mutualism between Gut Microbes In Silico.

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Review 4.  Constraining the metabolic genotype-phenotype relationship using a phylogeny of in silico methods.

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Journal:  Nat Rev Microbiol       Date:  2012-02-27       Impact factor: 60.633

Review 5.  Constraint-based models predict metabolic and associated cellular functions.

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Journal:  Nat Rev Genet       Date:  2014-01-16       Impact factor: 53.242

Review 6.  Computing the functional proteome: recent progress and future prospects for genome-scale models.

Authors:  Edward J O'Brien; Bernhard O Palsson
Journal:  Curr Opin Biotechnol       Date:  2015-01-08       Impact factor: 9.740

7.  Computationally efficient flux variability analysis.

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8.  Functional metabolic map of Faecalibacterium prausnitzii, a beneficial human gut microbe.

Authors:  Almut Heinken; M Tanweer Khan; Giuseppe Paglia; Dmitry A Rodionov; Hermie J M Harmsen; Ines Thiele
Journal:  J Bacteriol       Date:  2014-07-07       Impact factor: 3.490

9.  Deciphering the interplay between two independent functions of the small RNA regulator SgrS in Salmonella.

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10.  Creation and analysis of biochemical constraint-based models using the COBRA Toolbox v.3.0.

Authors:  Laurent Heirendt; Sylvain Arreckx; Thomas Pfau; Sebastián N Mendoza; Anne Richelle; Almut Heinken; Hulda S Haraldsdóttir; Jacek Wachowiak; Sarah M Keating; Vanja Vlasov; Stefania Magnusdóttir; Chiam Yu Ng; German Preciat; Alise Žagare; Siu H J Chan; Maike K Aurich; Catherine M Clancy; Jennifer Modamio; John T Sauls; Alberto Noronha; Aarash Bordbar; Benjamin Cousins; Diana C El Assal; Luis V Valcarcel; Iñigo Apaolaza; Susan Ghaderi; Masoud Ahookhosh; Marouen Ben Guebila; Andrejs Kostromins; Nicolas Sompairac; Hoai M Le; Ding Ma; Yuekai Sun; Lin Wang; James T Yurkovich; Miguel A P Oliveira; Phan T Vuong; Lemmer P El Assal; Inna Kuperstein; Andrei Zinovyev; H Scott Hinton; William A Bryant; Francisco J Aragón Artacho; Francisco J Planes; Egils Stalidzans; Alejandro Maass; Santosh Vempala; Michael Hucka; Michael A Saunders; Costas D Maranas; Nathan E Lewis; Thomas Sauter; Bernhard Ø Palsson; Ines Thiele; Ronan M T Fleming
Journal:  Nat Protoc       Date:  2019-03       Impact factor: 13.491

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