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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

Two synthetic gene circuits -- the genetic toggle switch and the repressilator -- are analyzed quantitatively and discussed in the context of an educational module on gene circuits and feedback that constitutes the final topic of a…

物理教育 · 物理学 2015-06-16 S. B. Cahn , S. G. J. Mochrie

The synthetic toggle switch, first proposed by Gardner & Collins [1] is a MIMO control system that can be controlled by varying the concentrations of two inducer molecules, aTc and IPTG, to achieve a desired level of expression of the two…

系统与控制 · 计算机科学 2020-03-18 Agostino Guarino , Davide Fiore , Mario di Bernardo

We consider the problem of regulating by means of external control inputs the ratio of two cell populations. Specifically, we assume that these two cellular populations are composed of cells belonging to the same strain which embeds some…

系统与控制 · 计算机科学 2020-03-18 Davide Salzano , Davide Fiore , Mario di Bernardo

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 regulation of cellular function is often controlled at the level of gene transcription. Such genetic regulation usually consists of interacting networks, whereby gene products from a single network can act to control their own…

生物物理 · 物理学 2009-11-06 Jeff Hasty , Joel Pradines , Milos Dolnik , J. J. Collins

In this paper, we consider the problem of optimal exogenous control of gene regulatory networks. Our approach consists in adapting an established reinforcement learning algorithm called the fitted Q iteration. This algorithm infers the…

系统与控制 · 计算机科学 2015-02-26 Aivar Sootla , Natalja Strelkowa , Damien Ernst , Mauricio Barahona , Guy-Bart Stan

Gene expression in a cell entails random reaction events occurring over disparate time scales. Thus, molecular noise that often results in phenotypic and population-dynamic consequences sets a fundamental limit to biochemical signaling.…

分子网络 · 定量生物学 2009-02-19 C. -M. Ghim , E. Almaas

The stochastic mutual repressor model is analysed using perturbation methods. This simple model of a gene circuit consists of two genes and three promotor states. Either of the two protein products can dimerize, forming a repressor molecule…

生物物理 · 物理学 2014-06-12 Jay Newby

This paper presents an intracellular feedback control strategy, to regulate the gene expression process dynamics. For this purpose, two types of genetic circuits are designed in order to compare concentrations of the input transcription…

系统与控制 · 计算机科学 2016-06-15 Jafar Kazemi , Sadjad Ozgoli

Intrinsic transcriptional noise induced by operator fluctuations is investigated with a simple spin like stochastic model. The effects of transcriptional fluctuations in protein synthesis is probed by coupling transcription and translation…

其他定量生物学 · 定量生物学 2007-05-23 Guilherme da C. P. Innocentini , Jose E. M. Hornos

We consider a generic class of gene circuits affected by nonlinear extrinsic noise. To address this nonlinearity we introduce a general perturbative methodology based on assuming timescale separation between noise and genes dynamics, with…

分子网络 · 定量生物学 2023-05-10 Gerardo Aquino , Andrea Rocco

Appropriate regulation of gene expression is essential to ensure that protein synthesis occurs in a selective manner. The control of transcription is the most dominant type of regulation mediated by a complex of molecules such as…

分子网络 · 定量生物学 2010-02-04 Rajesh Karmakar

Genes are connected in complex networks of interactions where often the product of one gene is a transcription factor that alters the expression of another. Many of these networks are based on a few fundamental motifs leading to switches…

分子网络 · 定量生物学 2026-03-05 Zitao Yang , Rebecca J. Rousseau , Sara D. Mahdavi , Hernan G. Garcia , Rob Phillips

The intrinsic stochasticity of gene expression can lead to large variability of protein levels across a population of cells. Variability (or noise) in protein distributions can be modulated by cellular mechanisms of gene regulation; in…

分子网络 · 定量生物学 2011-03-02 Tao Jia , Rahul V. Kulkarni

Controlling spatial patterns in synthetic biological systems remains challenging due to poor parameter robustness and limited experimental tunability. We introduce two complementary mechanisms-the pattern switch and the pattern dial-to…

生物物理 · 物理学 2025-12-02 Antonio Matas-Gil , Robert G. Endres

Biotechnology can benefit from dynamic control to improve production efficiency. In this context, optogenetics enables modulation of gene expression using light as an external input, allowing fine-tuning of protein levels to unlock dynamic…

系统与控制 · 电气工程与系统科学 2026-05-11 Sebastián Espinel-Ríos

Control of transcription presides over a vast array of biological processes, including those mediated by gene regulatory circuits that exhibit multistability. Within these circuits, two- and three-gene network motifs are particularly…

分子网络 · 定量生物学 2026-02-04 Rebecca J. Rousseau , Rob Phillips

We present an analytical treatment of a genetic switch model consisting of two mutually inhibiting genes operating without cooperative binding of the corresponding transcription factors. Previous studies have numerically shown that these…

分子网络 · 定量生物学 2015-11-18 Tommaso Biancalani , Michael Assaf

This paper analyzes, in the context of a prokaryotic cell, the stochastic variability of the number of proteins when there is a control of gene expression by an autoregulation scheme. The goal of this work is to estimate the efficiency of…

分子网络 · 定量生物学 2016-07-15 Renaud Dessalles , Vincent Fromion , Philippe Robert
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