title: Evaluation of the performance of mechanisms for noise attenuation in a single-gene expression.
abstract: Experiments of synthetic gene regulatory modules and theoretical studies have clarified the stochastic nature of gene expression. The establishment of methods to control the fluctuation in gene expression is an indispensable step to the synthesis of robust and reliable genetic modules. In this study, we evaluate the performances of several major mechanisms to attenuate the fluctuation in a single-gene expression; noise attenuation through the control of the ratio of the transcription rate to the translation one, the interaction between synthesized proteins and background molecules, and an autoregulatory negative feedback. We analytically derive the dependence of the noise intensity on the parameter values related to elementary reaction processes, optimal conditions to attenuate the noise, and the limitation of the attenuation for those mechanisms. Our results can be an important basis for selecting the most efficient combination of the components in the design and synthesis of robust and reliable genetic modules. Furthermore, the knowledge on the performances that we obtain can also play a role in understanding the design principle of the intracellular gene regulatory networks.
authors.affiliation: Aihara Laboratory, Department of Complexity Science and Engineering, Graduate School of Frontier Sciences, The University of Tokyo, Hongo 7-3-1, Bunkyo-ku, Tokyo, 113-8656, Japan. ymorishi@sat.t.u-tokyo.ac.jp
authors.forename: Yoshihiro
authors.initials: Y
authors.lastname: Morishita
authors.forename: Tetsuya J
authors.initials: TJ
authors.lastname: Kobayashi
authors.forename: Kazuyuki
authors.initials: K
authors.lastname: Aihara
mesh_terms: D019295:Computational Biology; D025461:Feedback, Physiological / Q000502:physiology; D005786:Gene Expression Regulation / Q000502:physiology*; D046911:Macromolecular Substances; D008957:Models, Genetic; D014176:Protein Biosynthesis / Q000502:physiology; D013269:Stochastic Processes; D014158:Transcription, Genetic / Q000502:physiology
chemical_list: D046911:Macromolecular Substances