Literature DB >> 10475062

Gene expression profiling, genetic networks, and cellular states: an integrating concept for tumorigenesis and drug discovery.

S Huang1.   

Abstract

Genome-wide expression monitoring, a novel tool of functional genomics, is currently used mainly to identify groups of coregulated genes and to discover genes expressed differentially in distinct situations that could serve as drug targets. This descriptive approach. however, fails to extract "distributed" information embedded in the genomic regulatory network and manifested in distinct gene activation profiles. A model based on the formalism of boolean genetic networks in which cellular states are represented by attractors in a discrete dynamic system can serve as a conceptual framework for an integrative interpretation of gene expression profiles. Such a global (genome-wide) view of "gene function" in the regulation of the dynamic relationship between proliferation, differentiation, and apoptosis can provide new insights into cellular homeostasis and the origins of neoplasia. Implications for a rational approach to the identification of new drug targets for cancer treatment are discussed.

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Year:  1999        PMID: 10475062     DOI: 10.1007/s001099900023

Source DB:  PubMed          Journal:  J Mol Med (Berl)        ISSN: 0946-2716            Impact factor:   4.599


  57 in total

1.  Fractal analysis in a systems biology approach to cancer.

Authors:  M Bizzarri; A Giuliani; A Cucina; F D'Anselmi; A M Soto; C Sonnenschein
Journal:  Semin Cancer Biol       Date:  2011-04-13       Impact factor: 15.707

Review 2.  Dynamical systems approach to endothelial heterogeneity.

Authors:  Erzsébet Ravasz Regan; William C Aird
Journal:  Circ Res       Date:  2012-06-22       Impact factor: 17.367

3.  Optimal Perturbation Control of General Topology Molecular Networks.

Authors:  Nidhal Bouaynaya; Roman Shterenberg; Dan Schonfeld
Journal:  IEEE Trans Signal Process       Date:  2013-04       Impact factor: 4.931

4.  Algorithms for finding small attractors in Boolean networks.

Authors:  Shu-Qin Zhang; Morihiro Hayashida; Tatsuya Akutsu; Wai-Ki Ching; Michael K Ng
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

5.  Algorithms and complexity analyses for control of singleton attractors in Boolean networks.

Authors:  Morihiro Hayashida; Takeyuki Tamura; Tatsuya Akutsu; Shu-Qin Zhang; Wai-Ki Ching
Journal:  EURASIP J Bioinform Syst Biol       Date:  2008

6.  Optimal constrained stationary intervention in gene regulatory networks.

Authors:  Babak Faryabi; Golnaz Vahedi; Jean-Francois Chamberland; Aniruddha Datta; Edward R Dougherty
Journal:  EURASIP J Bioinform Syst Biol       Date:  2008

7.  Inference of a probabilistic Boolean network from a single observed temporal sequence.

Authors:  Stephen Marshall; Le Yu; Yufei Xiao; Edward R Dougherty
Journal:  EURASIP J Bioinform Syst Biol       Date:  2007

8.  A tutorial on analysis and simulation of boolean gene regulatory network models.

Authors:  Yufei Xiao
Journal:  Curr Genomics       Date:  2009-11       Impact factor: 2.236

9.  Recent advances in intervention in markovian regulatory networks.

Authors:  Babak Faryabi; Golnaz Vahedi; Aniruddha Datta; Jean-Francois Chamberland; Edward R Dougherty
Journal:  Curr Genomics       Date:  2009-11       Impact factor: 2.236

10.  Perturbation of interaction networks for application to cancer therapy.

Authors:  Adrian P Quayle; Asim S Siddiqui; Steven J M Jones
Journal:  Cancer Inform       Date:  2007-04-01
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