Literature DB >> 34951981

On the design principles of metabolic flux sensing.

Christian Euler1, Radhakrishnan Mahadevan2.   

Abstract

Metabolism is precisely coordinated, with the goal of balancing fluxes to maintain robust growth. However, coordinating fluxes requires information about rates, which can only be inferred through concentrations. While flux-sensitive metabolites have been reported, the design principles underlying such sensing have not been clearly elucidated. Here we use kinetic modeling to show that substrate concentrations of thermodynamically constrained reactions reflect upstream flux and therefore carry information about rates. Then we use untargeted multi-omic data from Escherichia coli and Saccharomyces cerevisiae to show that the concentrations of some metabolites in central carbon metabolism reflect fluxes as a result of thermodynamic constraints. We then establish, using 37 real concentration-flux relationships across both organisms, that in vivo ΔG∘≥-4 kJ/mol is the threshold above which substrates are likely to be sensitive to upstream flux(es).
Copyright © 2021 Biophysical Society. Published by Elsevier Inc. All rights reserved.

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Year:  2021        PMID: 34951981      PMCID: PMC8790210          DOI: 10.1016/j.bpj.2021.12.022

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


  25 in total

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Journal:  FEBS Lett       Date:  2013-07-23       Impact factor: 4.124

2.  The moderately efficient enzyme: evolutionary and physicochemical trends shaping enzyme parameters.

Authors:  Arren Bar-Even; Elad Noor; Yonatan Savir; Wolfram Liebermeister; Dan Davidi; Dan S Tawfik; Ron Milo
Journal:  Biochemistry       Date:  2011-05-04       Impact factor: 3.162

3.  Functioning of a metabolic flux sensor in Escherichia coli.

Authors:  Karl Kochanowski; Benjamin Volkmer; Luca Gerosa; Bart R Haverkorn van Rijsewijk; Alexander Schmidt; Matthias Heinemann
Journal:  Proc Natl Acad Sci U S A       Date:  2012-12-31       Impact factor: 11.205

4.  Systems-level analysis of mechanisms regulating yeast metabolic flux.

Authors:  Sean R Hackett; Vito R T Zanotelli; Wenxin Xu; Jonathan Goya; Junyoung O Park; David H Perlman; Patrick A Gibney; David Botstein; John D Storey; Joshua D Rabinowitz
Journal:  Science       Date:  2016-10-27       Impact factor: 47.728

5.  Absolute metabolite concentrations and implied enzyme active site occupancy in Escherichia coli.

Authors:  Bryson D Bennett; Elizabeth H Kimball; Melissa Gao; Robin Osterhout; Stephen J Van Dien; Joshua D Rabinowitz
Journal:  Nat Chem Biol       Date:  2009-06-28       Impact factor: 15.040

6.  Coordination of bacterial proteome with metabolism by cyclic AMP signalling.

Authors:  Conghui You; Hiroyuki Okano; Sheng Hui; Zhongge Zhang; Minsu Kim; Carl W Gunderson; Yi-Ping Wang; Peter Lenz; Dalai Yan; Terence Hwa
Journal:  Nature       Date:  2013-08-07       Impact factor: 49.962

7.  Metabolic engineering of a tyrosine-overproducing yeast platform using targeted metabolomics.

Authors:  Nicholas D Gold; Christopher M Gowen; Francois-Xavier Lussier; Sarat C Cautha; Radhakrishnan Mahadevan; Vincent J J Martin
Journal:  Microb Cell Fact       Date:  2015-05-28       Impact factor: 5.328

8.  Regulation underlying hierarchical and simultaneous utilization of carbon substrates by flux sensors in Escherichia coli.

Authors:  Hiroyuki Okano; Rutger Hermsen; Karl Kochanowski; Terence Hwa
Journal:  Nat Microbiol       Date:  2019-12-09       Impact factor: 17.745

Review 9.  Engineering Escherichia coli to overproduce aromatic amino acids and derived compounds.

Authors:  Alberto Rodriguez; Juan A Martínez; Noemí Flores; Adelfo Escalante; Guillermo Gosset; Francisco Bolivar
Journal:  Microb Cell Fact       Date:  2014-09-09       Impact factor: 5.328

10.  Measuring glycolytic flux in single yeast cells with an orthogonal synthetic biosensor.

Authors:  Francisca Monteiro; Georg Hubmann; Vakil Takhaveev; Silke R Vedelaar; Justin Norder; Johan Hekelaar; Joana Saldida; Athanasios Litsios; Hein J Wijma; Alexander Schmidt; Matthias Heinemann
Journal:  Mol Syst Biol       Date:  2019-12       Impact factor: 11.429

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  1 in total

1.  Structural Thermokinetic Modelling.

Authors:  Wolfram Liebermeister
Journal:  Metabolites       Date:  2022-05-11
  1 in total

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