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The lactose uptake-pathway of E. coli is a paradigmatic example of multistability in gene-regulatory circuits. In the induced state of the lac-pathway, the genes comprising the lac-operon are transcribed, leading to the production of…

分子网络 · 定量生物学 2023-02-01 Prasanna M. Bhogale , Robin A. Sorg , Jan-Willem Veening , Johannes Berg

Multiple phenotypic states often arise in a single cell with different gene-expression states that undergo transcription regulation with positive feedback. Recent experiments have shown that at least in E. coli, the gene state switching can…

分子网络 · 定量生物学 2015-10-28 Hao Ge , Hong Qian , Sunney Xiaoliang Xie

The phage $\lambda$ infection of an \textit{E. coli} cell has become a paradigm for understanding the molecular processes involved in gene expression and cell signaling. This system provides an example of a genetic switch, as cells with…

生物物理 · 物理学 2012-04-10 Nathan Borggren

Gene transcriptional regulatory is an inherently noisy process. In this paper, the study of fluctuations in a gene transcriptional regulatory system is extended to the case of L\'evy noise, a kind of non-Gaussian noises which can describe…

生物物理 · 物理学 2013-09-06 Yong Xu , Jing Feng , JuanJuan Li , Huiqing Zhang

One of the fundamental cellular processes governed by genetic regulatory networks in cells is the transition among different states under the intrinsic and extrinsic noise. Based on a two-state genetic switching model with positive…

分子网络 · 定量生物学 2012-12-18 Cheng Lv , Xiaoguang Li , Fangting Li , Tiejun Li

Biochemical reaction networks are subjected to large fluctuations attributable to small molecule numbers, yet underlie reliable biological functions. Most theoretical approaches describe them as purely deterministic or stochastic dynamical…

分子网络 · 定量生物学 2013-06-11 Jingkui Wang , Marc Lefranc , Quentin Thommen

We present a simple analytical tool which gives an approximate insight into the stationary behavior of nonlinear systems undergoing the influence of a weak and rapid noise from one dominating source, e.g. the kinetic equations describing a…

定量方法 · 定量生物学 2008-08-13 Anna Ochab-Marcinek

An important task in quantitative biology is to understand the role of stochasticity in biochemical regulation. Here, as an extension of our recent work [Phys. Rev. Lett. 107, 148101 (2011)], we study how input fluctuations affect the…

分子网络 · 定量生物学 2015-06-11 Bo Hu , David A. Kessler , Wouter-Jan Rappel , Herbert Levine

Stochastic simulation has been a powerful tool for studying the dynamics of gene regulatory networks, particularly in terms of understanding how cell-phenotype stability and fate-transitions are impacted by noisy gene expression. However,…

分子网络 · 定量生物学 2018-09-05 Margaret J. Tse , Brian K. Chu , Elizabeth L. Read

Switching of the direction of flagella rotations is the key control mechanism governing the chemotactic activity of E. coli and many other bacteria. Power-law distributions of switching times are most peculiar because their emergence cannot…

生物物理 · 物理学 2018-06-26 M. I. Krivonosov , V. Zaburdaev , S. V. Denisov , M. V. Ivanchenko

The quasi-equilibrium approximation is acceptable when molecular interactions are fast enough compared to circuit dynamics, but is no longer allowed when cellular activities are governed by rare events. A typical example is the lactose…

分子网络 · 定量生物学 2013-12-20 Denis Michel

A general class of stochastic gene expression models with self regulation is considered. One or more genes randomly switch between regulatory states, each having a different mRNA transcription rate. The gene or genes are self regulating…

分子网络 · 定量生物学 2014-12-30 Jay Newby

During tissue development, patterns of gene expression determine the spatial arrangement of cell types. In many cases, gradients of secreted signaling molecules - morphogens - guide this process. The continuous positional information…

分子网络 · 定量生物学 2017-02-08 Ruben Perez-Carrasco , Pilar Guerrero , James Briscoe , Karen Page

The intrinsic stochasticity of gene expression can give rise to large fluctuations and rare events that drive phenotypic variation in a population of genetically identical cells. Characterizing the fluctuations that give rise to such rare…

统计力学 · 物理学 2017-05-24 Jordan M. Horowitz , Rahul V. Kulkarni

Fluctuating environments pose tremendous challenges to bacterial populations. It is observed in numerous bacterial species that individual cells can stochastically switch among multiple phenotypes for the population to survive in rapidly…

分子网络 · 定量生物学 2015-01-20 Chen Jia , Min-Ping Qian , Yu Kang , Da-Quan Jiang

A toggle switch consists of two genes that mutually repress each other. This regulatory motif is active during cell differentiation and is thought to act as a memory device, being able to choose and maintain cell fate decisions. In this…

分子网络 · 定量生物学 2018-12-26 Michael K. Strasser , Fabian J. Theis , Carsten Marr

Evolution is simultaneously driven by a number of processes such as mutation, competition and random sampling. Understanding which of these processes is dominating the collective evolutionary dynamics in dependence on system properties is a…

种群与进化 · 定量生物学 2012-09-13 Hinrich Arnoldt , Marc Timme , Stefan Grosskinsky

Phenotype transition takes place in many biological processes such as differentiation, and understanding how a cell reprograms its global gene expression profile is a problem of rate theories. A cell phenotype transition accompanies with…

分子网络 · 定量生物学 2021-07-09 Weikang Wang , Dante Poe , Ke Ni , Jianhua Xing

Noise caused by fluctuations at the molecular level is a fundamental part of intracellular processes. While the response of biological systems to noise has been studied extensively, there has been limited understanding of how to exploit it…

分子网络 · 定量生物学 2015-10-14 Daniel K. Wells , William L. Kath , Adilson E. Motter

Stochastic dynamics of chemical reactions in a mutually repressing two-gene circuit is numerically simulated. The circuit has a rich variety of different states when the kinetic change of DNA status is slow. The stochastic switching…

无序系统与神经网络 · 物理学 2009-11-11 Tomohiro Ushikubo , Wataru Inoue , Mitsumasa Yoda , Masaki Sasai
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