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Genetic oscillators are present in the cells of many organisms and control several biological processes. The common feature of such oscillators is the presence of a protein which represses the transcription of its own gene. Recently, it has…

分子网络 · 定量生物学 2017-06-07 Nahuel Almeira , Sebastian Risau Gusman

The evolutionary origins of structural features in reconstructed gene-regulatory networks (GRNs) remain poorly understood, especially given the random aspects of gene expression. Here, we extend a classical model of GRN evolution to allow a…

种群与进化 · 定量生物学 2026-04-30 Leonardo Ivan Estrella Dzib , James Holehouse

A key goal of systems biology is the predictive mathematical description of gene regulatory circuits. Different approaches are used such as deterministic and stochastic models, models that describe cell growth and division explicitly or…

分子网络 · 定量生物学 2012-10-12 Rahul Marathe , Veronika Bierbaum , David Gomez , Stefan Klumpp

We assess the impact of cell cycle noise on gene circuit dynamics. For bistable genetic switches and excitable circuits, we find that transitions between metastable states most likely occur just after cell division and that this…

分子网络 · 定量生物学 2016-12-21 Alan Veliz-Cuba , Chinmaya Gupta , Matthew R. Bennett , Krešimir Josić , William Ott

Positive feedback and cooperativity in the regulation of gene expression are generally considered to be necessary for obtaining bistable expression states. Recently, a novel mechanism of bistability termed emergent bistability has been…

定量方法 · 定量生物学 2012-10-22 Sayantari Ghosh , Subhasis Banerjee , Indrani Bose

The effects of intrinsic noise on stochastic delay systems is studied within an expansion in the inverse system size. We show that the stochastic nature of the underlying dynamics may induce oscillatory behaviour in parameter ranges where…

分子网络 · 定量生物学 2015-05-13 Tobias Galla

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

It is well-known that gene activation/deactivation dynamics may be a major source of randomness in genetic networks, also in the case of large concentrations of the transcription factors. In this work, we investigate the effect of realistic…

分子网络 · 定量生物学 2014-10-28 Sebastiano de Franciscis , Giulio Caravagna , Alberto d'Onofrio

Stochastic oscillations in individual cells are usually characterized by a non-monotonic power spectrum with an oscillatory autocorrelation function. Here we develop an analytical approach of stochastic oscillations in a minimal hybrid…

分子网络 · 定量生物学 2024-02-08 Chen Jia , Hong Qian , Michael Q. Zhang

The study of synchronization among genetic oscillators is essential for the understanding of the rhythmic phenomena of living organisms at both molecular and cellular levels. Genetic networks are intrinsically noisy due to natural random…

分子网络 · 定量生物学 2007-05-23 Chunguang Li , Luonan Chen , Kazuyuki Aihara

Noise is a ubiquitous feature of the physical world. As a result, the first prerequisite of life is fault tolerance: maintaining integrity of state despite external bombardment. Recent experimental advances have revealed that biological…

种群与进化 · 定量生物学 2023-04-14 Trevor McCourt , Ila R. Fiete , Isaac L. Chuang

How can a microorganism adapt to a variety of environmental conditions despite there exists a limited number of signal transduction machineries? We show that for any growing cells whose gene expression is under stochastic fluctuations,…

分子网络 · 定量生物学 2015-05-13 Chikara Furusawa , Kunihiko Kaneko

Gene regulatory circuits show significant stochastic fluctuations in their circuit signals due to the low copy number of transcription factors. When a gene circuit component is connected to an existing circuit, the dynamic properties of the…

定量方法 · 定量生物学 2009-10-30 Kyung Hyuk Kim , Herbert M. Sauro

Regulation of intrinsic noise in gene expression is essential for many cellular functions. Correspondingly, there is considerable interest in understanding how different molecular mechanisms of gene expression impact variations in protein…

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

Synthetic biology sets out to implement new functions in cells, and to develop a deeper understanding of biological design principles. In 2000, Elowitz and Leibler showed that by rational design of the reaction network, and using existing…

生物物理 · 物理学 2017-05-17 Joris Paijmans , David K Lubensky , Pieter Rein ten Wolde

Noise in gene expression, either due to inherent stochasticity or to varying inter- and intracellular environment, can generate significant cell-to-cell variability of protein levels in clonal populations. We present a theoretical…

其他定量生物学 · 定量生物学 2010-04-08 Julia Rausenberger , Christian Fleck , Jens Timmer , Markus Kollmann

Phenotype of biological systems needs to be robust against mutation in order to sustain themselves between generations. On the other hand, phenotype of an individual also needs to be robust against fluctuations of both internal and external…

种群与进化 · 定量生物学 2015-06-26 Kunihiko Kaneko

For cellular biochemical reaction systems where the numbers of molecules is small, significant noise is associated with chemical reaction events. This molecular noise can give rise to behavior that is very different from the predictions of…

分子网络 · 定量生物学 2009-11-13 Matthew Scott , Terence Hwa , Brian Ingalls

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

Gene expression is a fundamental process in a living system. The small RNAs (sRNAs) is widely observed as a global regulator in gene expression. The inherent nonlinearity in this regulatory process together with the bursty production of…

分子网络 · 定量生物学 2021-10-12 Shigang Qiu , Tao Jia