* Your assessment is very important for improving the workof artificial intelligence, which forms the content of this project
Download Javier Garcia-Bernardo , Mary J. Dunlop
Genome evolution wikipedia , lookup
X-inactivation wikipedia , lookup
Genomic imprinting wikipedia , lookup
Long non-coding RNA wikipedia , lookup
Epigenetics in stem-cell differentiation wikipedia , lookup
History of genetic engineering wikipedia , lookup
Genetic engineering wikipedia , lookup
Primary transcript wikipedia , lookup
Biology and consumer behaviour wikipedia , lookup
Gene expression programming wikipedia , lookup
Microevolution wikipedia , lookup
Epigenetics of diabetes Type 2 wikipedia , lookup
Nutriepigenomics wikipedia , lookup
Genome (book) wikipedia , lookup
Gene therapy of the human retina wikipedia , lookup
Vectors in gene therapy wikipedia , lookup
Polycomb Group Proteins and Cancer wikipedia , lookup
Site-specific recombinase technology wikipedia , lookup
Designer baby wikipedia , lookup
Therapeutic gene modulation wikipedia , lookup
Artificial gene synthesis wikipedia , lookup
Epigenetics of human development wikipedia , lookup
Gene expression profiling wikipedia , lookup
Emergence of Coordination in Genetic Networks from Low-Level Pulsing in Transcription Factors Javier Garcia-Bernardo1*, Mary J. Dunlop2 1 Department of Computer Science, University of Vermont, 301 Votey Hall, Burlington, VT 05405 2 School of Engineering, University of Vermont, 301 Votey Hall, Burlington, VT 05405 * Corresponding author: [email protected] ABSTRACT Cells live in changing, uncertain environments, exposed to sudden increases in the concentration of stressors. In order to survive, cells cannot depend solely on sensory responses, which have a delay associated with them, instead they need to anticipate future changes. However, the continuous synthesis and maintenance of general stress response mechanisms has a high energy cost for the cell. To resolve this, cells can rely on phenotypic diversity, where only a few cells carry the burden of expressing resistance mechanisms, effectively bet-hedging against the sudden appearance of a stressor. Phenotypic diversity can be produced by fluctuations in gene expression and is observed in many stress response mechanisms. In this study, we show another general role of noise in gene expression. By simulating a transcription factor that activates several downstream genes (singleinput module) we discovered that when the concentration of the regulator is kept at low levels, as in the absence of stressors, infrequent bursting in downstream genes is observed and that these bursts can be coordinated. We compared an activator with fixed expression to an activator with pulsing dynamics. With one downstream gene, there is little or no difference observed between the two activators. However, when several downstream genes are studied together, the pulsing activator is able to coordinate them with a higher probability than the fixed activator, while maintaining the same cost for the cell. Furthermore, this cost can be tuned by modifying the frequency, duration and amplitude of the pulses of the activator, providing the cell with a flexible mechanism for tuning the dynamics. This coordination may not be exclusive to stress response mechanisms and has the potential to provide an advantage in all single-input modules where coordination and low levels of the regulator is desired.