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  A theory of optimal differential gene expression

Liebermeister, W., Klipp, E., Schuster, S., & Heinrich, R. (2004). A theory of optimal differential gene expression. Papers presented at the Fifth International Workshop on Information Processing in Cells and Tissues, 261-278. doi:10.1016/j.biosystems.2004.05.022.

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Genre: Journal Article
Alternative Title : Biosystems

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 Creators:
Liebermeister, Wolfram1, Author
Klipp, Edda2, Author           
Schuster, Stefan, Author
Heinrich, Reinhart, Author
Affiliations:
1Max Planck Society, ou_persistent13              
2Independent Junior Research Groups (OWL), Max Planck Institute for Molecular Genetics, Max Planck Society, ou_1433554              

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Free keywords: Gene expression; Gene function; Genetic regulation; Linear model; Metabolic control analysis; Optimality principle
 Abstract: We investigate a model of optimal regulation, intended to describe large-scale differential gene expression. Relations between the optimal expression patterns and the function of genes are deduced from an optimality principle: the regulators have to maximise a fitness function which they influence directly via a cost term, and indirectly via their control on important cell variables, such as metabolic fluxes. According to the model, the optimal linear response to small perturbations reflects the regulators’ functions, namely their linear influences on the cell variables. The optimal behaviour can be realised by a linear feedback mechanism. Known or assumed properties of response coefficients lead to predictions about regulation patterns. A symmetry relation predicted for deletion experiments is verified with gene expression data. Where the optimality assumption is valid, our results justify the use of expression data for functional annotation and for pathway reconstruction and suggest the use of linear factor models for the analysis of gene expression data.

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Language(s): eng - English
 Dates: 2004-08-03
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: eDoc: 229812
DOI: 10.1016/j.biosystems.2004.05.022
 Degree: -

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Title: Papers presented at the Fifth International Workshop on Information Processing in Cells and Tissues
Source Genre: Issue
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 261 - 278 Identifier: -

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Title: Biosystems [Elektronische Ressource] : Journal of Biological and Information Processing Sciences
  Alternative Title : Biosystems
Source Genre: Journal
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 76 (1-3) Sequence Number: - Start / End Page: - Identifier: ISSN: 0303-2647