Non-Equilibrium Thermodynamics of Gene Expression and Transcriptional Regulation

Non-Equilibrium Thermodynamics of Gene Expression and Transcriptional Regulation In recent times whole-genome gene expression analysis has turned out to be a highly important tool to study the coordinated function of a very large number of genes within their corresponding cellular environment, especially in relation to phenotypic diversity and disease. A wide variety of methods of quantitative analysis has been developed to cope with high throughput data sets generated by gene expression profiling experiments. Due to the complexity associated with transcriptomics , especially in the case of gene regulation phenomena, most of these methods are of a probabilistic or statistical nature. Even if these methods have reached a central status in the development of an integrative, systematic understanding of the associated biological processes, they very rarely constitute a concrete guide to the actual physicochemical mechanisms behind biological function, and the role of these methods is more on a hypotheses generating line. An important improvement could lie in the development of a thermodynamic theory for gene expression and transcriptional regulation that will build the foundations for a proper integration of the vast amount of molecular biophysical data and could lead, in the future, to a systemic view of genetic transcription and regulation. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Non-Equilibrium Thermodynamics de Gruyter

Non-Equilibrium Thermodynamics of Gene Expression and Transcriptional Regulation

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Publisher
de Gruyter
Copyright
© 2009 Walter de Gruyter · Berlin · New York
Subject
Original Papers
ISSN
0340-0204
eISSN
1437-4358
DOI
10.1515/JNETDY.2009.019
Publisher site
See Article on Publisher Site

Abstract

In recent times whole-genome gene expression analysis has turned out to be a highly important tool to study the coordinated function of a very large number of genes within their corresponding cellular environment, especially in relation to phenotypic diversity and disease. A wide variety of methods of quantitative analysis has been developed to cope with high throughput data sets generated by gene expression profiling experiments. Due to the complexity associated with transcriptomics , especially in the case of gene regulation phenomena, most of these methods are of a probabilistic or statistical nature. Even if these methods have reached a central status in the development of an integrative, systematic understanding of the associated biological processes, they very rarely constitute a concrete guide to the actual physicochemical mechanisms behind biological function, and the role of these methods is more on a hypotheses generating line. An important improvement could lie in the development of a thermodynamic theory for gene expression and transcriptional regulation that will build the foundations for a proper integration of the vast amount of molecular biophysical data and could lead, in the future, to a systemic view of genetic transcription and regulation.

Journal

Journal of Non-Equilibrium Thermodynamicsde Gruyter

Published: Dec 1, 2009

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