Literature DB >> 27789812

Systems-level analysis of mechanisms regulating yeast metabolic flux.

Sean R Hackett1, Vito R T Zanotelli2, Wenxin Xu3, Jonathan Goya1, Junyoung O Park1, David H Perlman4, Patrick A Gibney5, David Botstein5, John D Storey6, Joshua D Rabinowitz7.   

Abstract

Cellular metabolic fluxes are determined by enzyme activities and metabolite abundances. Biochemical approaches reveal the impact of specific substrates or regulators on enzyme kinetics but do not capture the extent to which metabolite and enzyme concentrations vary across physiological states and, therefore, how cellular reactions are regulated. We measured enzyme and metabolite concentrations and metabolic fluxes across 25 steady-state yeast cultures. We then assessed the extent to which flux can be explained by a Michaelis-Menten relationship between enzyme, substrate, product, and potential regulator concentrations. This revealed three previously unrecognized instances of cross-pathway regulation, which we biochemically verified. One of these involved inhibition of pyruvate kinase by citrate, which accumulated and thereby curtailed glycolytic outflow in nitrogen-limited yeast. Overall, substrate concentrations were the strongest driver of the net rates of cellular metabolic reactions, with metabolite concentrations collectively having more than double the physiological impact of enzymes.
Copyright © 2016, American Association for the Advancement of Science.

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Year:  2016        PMID: 27789812      PMCID: PMC5414049          DOI: 10.1126/science.aaf2786

Source DB:  PubMed          Journal:  Science        ISSN: 0036-8075            Impact factor:   47.728


  73 in total

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2.  Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach.

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4.  Somewhat in control--the role of transcription in regulating microbial metabolic fluxes.

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Journal:  Curr Opin Biotechnol       Date:  2013-04-06       Impact factor: 9.740

5.  A direct spectrophotometric assay for pyruvate kinase.

Authors:  N G Pon; R J Bondar
Journal:  Anal Biochem       Date:  1967-05       Impact factor: 3.365

6.  Carbohydrate analysis by a phenol-sulfuric acid method in microplate format.

Authors:  Tatsuya Masuko; Akio Minami; Norimasa Iwasaki; Tokifumi Majima; Shin-Ichiro Nishimura; Yuan C Lee
Journal:  Anal Biochem       Date:  2005-04-01       Impact factor: 3.365

7.  Large-scale functional analysis of the roles of phosphorylation in yeast metabolic pathways.

Authors:  Juliane Caroline Schulz; Mattia Zampieri; Stefanie Wanka; Christian von Mering; Uwe Sauer
Journal:  Sci Signal       Date:  2014-11-25       Impact factor: 8.192

8.  Characterization of trehalose-6-phosphate synthase and trehalose-6-phosphate phosphatase of Saccharomyces cerevisiae.

Authors:  A Vandercammen; J François; H G Hers
Journal:  Eur J Biochem       Date:  1989-07-01

9.  Bringing metabolic networks to life: convenience rate law and thermodynamic constraints.

Authors:  Wolfram Liebermeister; Edda Klipp
Journal:  Theor Biol Med Model       Date:  2006-12-15       Impact factor: 2.432

10.  Functional organization of the S. cerevisiae phosphorylation network.

Authors:  Dorothea Fiedler; Hannes Braberg; Monika Mehta; Gal Chechik; Gerard Cagney; Paromita Mukherjee; Andrea C Silva; Michael Shales; Sean R Collins; Sake van Wageningen; Patrick Kemmeren; Frank C P Holstege; Jonathan S Weissman; Michael-Christopher Keogh; Daphne Koller; Kevan M Shokat; Nevan J Krogan
Journal:  Cell       Date:  2009-03-06       Impact factor: 41.582

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  73 in total

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2.  Metabolic programming a lean phenotype by deregulation of RNA polymerase III.

Authors:  Ian M Willis; Robyn D Moir; Nouria Hernandez
Journal:  Proc Natl Acad Sci U S A       Date:  2018-11-14       Impact factor: 11.205

Review 3.  Potential of metabolic engineering in bacterial nanosilver synthesis.

Authors:  Sayak Mitra; Ashmita Das; Shampa Sen; Biswanath Mahanty
Journal:  World J Microbiol Biotechnol       Date:  2018-08-23       Impact factor: 3.312

Review 4.  Eight Kinetically Stable but Thermodynamically Activated Molecules that Power Cell Metabolism.

Authors:  Christopher T Walsh; Benjamin P Tu; Yi Tang
Journal:  Chem Rev       Date:  2017-12-22       Impact factor: 60.622

5.  Dissecting cell-type-specific metabolism in pancreatic ductal adenocarcinoma.

Authors:  Allison N Lau; Zhaoqi Li; Laura V Danai; Anna M Westermark; Alicia M Darnell; Raphael Ferreira; Vasilena Gocheva; Sharanya Sivanand; Evan C Lien; Kiera M Sapp; Jared R Mayers; Giulia Biffi; Christopher R Chin; Shawn M Davidson; David A Tuveson; Tyler Jacks; Nicholas J Matheson; Omer Yilmaz; Matthew G Vander Heiden
Journal:  Elife       Date:  2020-07-10       Impact factor: 8.140

Review 6.  Metabolic kinetic modeling provides insight into complex biological questions, but hurdles remain.

Authors:  Jonathan Strutz; Jacob Martin; Jennifer Greene; Linda Broadbelt; Keith Tyo
Journal:  Curr Opin Biotechnol       Date:  2019-03-07       Impact factor: 9.740

7.  Genome-Scale Metabolic Modeling from Yeast to Human Cell Models of Complex Diseases: Latest Advances and Challenges.

Authors:  Yu Chen; Gang Li; Jens Nielsen
Journal:  Methods Mol Biol       Date:  2019

8.  Integrating proteomic or transcriptomic data into metabolic models using linear bound flux balance analysis.

Authors:  Mingyuan Tian; Jennifer L Reed
Journal:  Bioinformatics       Date:  2018-11-15       Impact factor: 6.937

Review 9.  Metabolomics and Isotope Tracing.

Authors:  Cholsoon Jang; Li Chen; Joshua D Rabinowitz
Journal:  Cell       Date:  2018-05-03       Impact factor: 41.582

10.  Genome-Scale Architecture of Small Molecule Regulatory Networks and the Fundamental Trade-Off between Regulation and Enzymatic Activity.

Authors:  Ed Reznik; Dimitris Christodoulou; Joshua E Goldford; Emma Briars; Uwe Sauer; Daniel Segrè; Elad Noor
Journal:  Cell Rep       Date:  2017-09-12       Impact factor: 9.423

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