Stochastic Simulations of the Origins and Implications of Long-Tailed Distributions in Gene Expression

Gene expression noise results in protein number distributions ranging from long-tailed to Gaussian. We show how long-tailed distributions arise from a stochastic model of the constituent chemical reactions and suggest that, in conjunction with cooperative switches, they lead to more sensitive select...

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Bibliographic Details

Published in:	Proceedings of the National Academy of Sciences - PNAS 2005-03, Vol.102 (13), p.4771-4776
Main Authors:	Krishna, Sandeep, Banerjee, Bidisha, Ramakrishnan, T. V., Shivashankar, G. V., Cantor, Charles R.
Format:	Article
Language:	eng
Subjects:	Animals Biological Sciences Cell cycle Cell division Computer Simulation Crossovers DNA DNA-Binding Proteins - metabolism Drosophila Drosophila Proteins - metabolism Embryo, Nonmammalian - metabolism Embryos Fluorescence Gaussian distributions Gene Expression Gene Expression Regulation Homeodomain Proteins - metabolism Modeling Models, Chemical Operator Regions, Genetic - genetics Promoter Regions, Genetic - genetics Proteins Proteins - metabolism Simulation Standard deviation Stochastic models Stochastic Processes Trans-Activators - metabolism Transcription Factors - metabolism
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