Literature DB >> 17049899

Global metabolic changes following loss of a feedback loop reveal dynamic steady states of the yeast metabolome.

Peng Lu1, Anupama Rangan, Sherwin Y Chan, Dean R Appling, David W Hoffman, Edward M Marcotte.   

Abstract

Metabolic enzymes control cellular metabolite concentrations dynamically in response to changing environmental and intracellular conditions. Such real-time feedback regulation suggests the global metabolome may sample distinct dynamic steady states, forming "basins of stability" in the energy landscape of possible metabolite concentrations and enzymatic activities. Using metabolite, protein and transcriptional profiling, we characterize three dynamic steady states of the yeast metabolome that form by perturbing synthesis of the universal methyl donor S-adenosylmethionine (AdoMet). Conversion between these states is driven by replacement of serine with glycine+formate in the media, loss of feedback inhibition control by the metabolic enzyme Met13, or both. The latter causes hyperaccumulation of methionine and AdoMet, and dramatic global compensatory changes in the metabolome, including differences in amino acid and sugar metabolism, and possibly in the global nitrogen balance, ultimately leading to a G1/S phase cell cycle delay. Global metabolic changes are not necessarily accompanied by global transcriptional changes, and metabolite-controlled post-transcriptional regulation of metabolic enzymes is clearly evident.

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Year:  2006        PMID: 17049899     DOI: 10.1016/j.ymben.2006.06.003

Source DB:  PubMed          Journal:  Metab Eng        ISSN: 1096-7176            Impact factor:   9.783


  4 in total

1.  Widespread reorganization of metabolic enzymes into reversible assemblies upon nutrient starvation.

Authors:  Rammohan Narayanaswamy; Matthew Levy; Mark Tsechansky; Gwendolyn M Stovall; Jeremy D O'Connell; Jennifer Mirrielees; Andrew D Ellington; Edward M Marcotte
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-05       Impact factor: 11.205

2.  2D NMR metabonomic analysis: a novel method for automated peak alignment.

Authors:  Ming Zheng; Peng Lu; Yanzhou Liu; Joseph Pease; Jonathan Usuka; Guochun Liao; Gary Peltz
Journal:  Bioinformatics       Date:  2007-09-10       Impact factor: 6.937

3.  Differential membrane proteome analysis reveals novel proteins involved in the degradation of aromatic compounds in Geobacter metallireducens.

Authors:  Dimitri Heintz; Sébastien Gallien; Simon Wischgoll; Anja Kerstin Ullmann; Christine Schaeffer; Antje Karen Kretzschmar; Alain van Dorsselaer; Matthias Boll
Journal:  Mol Cell Proteomics       Date:  2009-06-03       Impact factor: 5.911

4.  Data Reduction Approaches for Dissecting Transcriptional Effects on Metabolism.

Authors:  Kevin Schwahn; Zoran Nikoloski
Journal:  Front Plant Sci       Date:  2018-04-20       Impact factor: 5.753

  4 in total

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