Literature DB >> 21088798

Complex coordination of multi-scale cellular responses to environmental stress.

Luís L Fonseca1, Claudia Sánchez, Helena Santos, Eberhard O Voit.   

Abstract

Cells and organisms are regularly exposed to a variety of stresses, and effective responses are a matter of survival. The article describes a multi-scale experimental and dynamical modeling analysis that clearly indicates concerted stress control in different temporal and organizational domains, and a strong synergy between the dynamics of genes, proteins and metabolites. Specifically, we show with in vivo NMR measurements of metabolic profiles that baker's yeast responds to a paradigmatic stress, heat, at three organizational levels and in two time regimes. At the metabolic level, an almost immediate response is mounted. However, this response is a "quick fix" in comparison to a much more effective response that had been pre-organized in earlier periods of heat stress and is an order of magnitude stronger. Equipped with the metabolic profile data, our modeling efforts resulted in a crisp, quantitative separation of response actions at the levels of metabolic control and gene regulation. They also led to predictions of necessary changes in protein levels and clearly demonstrated that formerly observed temperature profiles of key enzyme activities are not sufficient to explain the accumulation of trehalose as an immediate response to sudden heat stress.

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Year:  2010        PMID: 21088798     DOI: 10.1039/c0mb00102c

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  13 in total

1.  Analysis of operating principles with S-system models.

Authors:  Yun Lee; Po-Wei Chen; Eberhard O Voit
Journal:  Math Biosci       Date:  2011-03-04       Impact factor: 2.144

2.  Nonparametric dynamic modeling.

Authors:  Mojdeh Faraji; Eberhard O Voit
Journal:  Math Biosci       Date:  2016-08-30       Impact factor: 2.144

3.  Characterizability of metabolic pathway systems from time series data.

Authors:  Eberhard O Voit
Journal:  Math Biosci       Date:  2013-02-05       Impact factor: 2.144

4.  Stepwise inference of likely dynamic flux distributions from metabolic time series data.

Authors:  Mojdeh Faraji; Eberhard O Voit
Journal:  Bioinformatics       Date:  2017-07-15       Impact factor: 6.937

5.  Estimation of dynamic flux profiles from metabolic time series data.

Authors:  I-Chun Chou; Eberhard O Voit
Journal:  BMC Syst Biol       Date:  2012-07-09

6.  Statistical inference methods for sparse biological time series data.

Authors:  Juliet Ndukum; Luís L Fonseca; Helena Santos; Eberhard O Voit; Susmita Datta
Journal:  BMC Syst Biol       Date:  2011-04-25

7.  Steady-state global optimization of metabolic non-linear dynamic models through recasting into power-law canonical models.

Authors:  Carlos Pozo; Alberto Marín-Sanguino; Rui Alves; Gonzalo Guillén-Gosálbez; Laureano Jiménez; Albert Sorribas
Journal:  BMC Syst Biol       Date:  2011-08-25

8.  Modelling and analysis of central metabolism operating regulatory interactions in salt stress conditions in a L-carnitine overproducing E. coli strain.

Authors:  Guido Santos; José A Hormiga; Paula Arense; Manuel Cánovas; Néstor V Torres
Journal:  PLoS One       Date:  2012-04-13       Impact factor: 3.240

9.  Coordination of rapid sphingolipid responses to heat stress in yeast.

Authors:  Po-Wei Chen; Luis L Fonseca; Yusuf A Hannun; Eberhard O Voit
Journal:  PLoS Comput Biol       Date:  2013-05-30       Impact factor: 4.475

10.  Dynamics of the Heat Stress Response of Ceramides with Different Fatty-Acyl Chain Lengths in Baker's Yeast.

Authors:  Po-Wei Chen; Luis L Fonseca; Yusuf A Hannun; Eberhard O Voit
Journal:  PLoS Comput Biol       Date:  2015-08-04       Impact factor: 4.475

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