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相关论文: Measuring the Degree of Modularity from Gene Expre…

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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

We show that noise-induced oscillations in a gene circuit model display stochastic coherence, that is, a maximum in the regularity of the oscillations as a function of noise amplitude. The effect is manifest as a system-size effect in a…

分子网络 · 定量生物学 2009-08-05 Robert C. Hilborn , Jessie D. Erwin

Interactions between genes and gene products give rise to complex circuits that enable cells to process information and respond to external signals. Theoretical studies often describe these interactions using continuous, stochastic, or…

分子网络 · 定量生物学 2007-05-23 Madalena Chaves , Reka Albert , Eduardo D. Sontag

In synthetic biology, gene regulatory circuits are often constructed by combining smaller circuit components. Connections between components are achieved by transcription factors acting on promoters. If the individual components behave as…

分子网络 · 定量生物学 2011-02-15 Kyung Hyuk Kim , Herbert M. Sauro

The origin of stochastic fluctuations in gene expression has received considerable attention recently. Fluctuations in gene expression are particularly pronounced in cellular systems because of the small copy number of species undergoing…

亚细胞过程 · 定量生物学 2009-08-02 P. S. Gutierrez , D. Monteoliva , L. Diambra

Timing is essential for many cellular processes, from cellular responses to external stimuli to the cell cycle and circadian clocks. Many of these processes are based on gene expression. For example, an activated gene may be required to…

分子网络 · 定量生物学 2017-02-24 Alma Dal Co , Marco Cosentino Lagomarsino , Michele Caselle , Matteo Osella

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

Gene products (RNAs, proteins) often occur at low molecular counts inside individual cells, and hence are subject to considerable random fluctuations (noise) in copy number over time. Not surprisingly, cells encode diverse regulatory…

分子网络 · 定量生物学 2015-10-01 Thierry Platini , Mohammad Soltani , Abhyudai Singh

The propagation of noise through parallel regulatory pathways is a characteristic feature of feed-forward loops in genetic networks. Although the contributions of the direct and indirect regulatory pathways of feed-forward loops to output…

分子网络 · 定量生物学 2025-07-10 Mintu Nandi , Sudip Chattopadhyay , Suman K Banik

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

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

Stochasticity in gene expression can result in fluctuations in gene product levels. Recent experiments indicated that feedback regulation plays an important role in controlling the noise in gene expression. A quantitative understanding of…

分子网络 · 定量生物学 2019-12-11 Zihao Wang , Zhenquan Zhang , Tianshou Zhou

Cellular behavior is governed by gene regulatory processes that are intrinsically dynamic and nonlinear, and are subject to non-negligible amounts of random fluctuations. Such conditions are ubiquitous in physical systems, where they have…

分子网络 · 定量生物学 2011-09-21 Jordi Garcia-Ojalvo

Stochasticity is both exploited and controlled by cells. Although the intrinsic stochasticity inherent in biochemistry is relatively well understood, cellular variation, or 'noise', is predominantly generated by interactions of the system…

分子网络 · 定量生物学 2008-09-18 Vahid Shahrezaei , Julien F Ollivier , Peter S Swain

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

We study the noise characteristics of stochastic oscillations in protein number dynamics of simple genetic oscillatory systems. Using the three-component negative feedback transcription regulatory system called the repressilator as a…

分子网络 · 定量生物学 2015-03-13 Byungjoon Min , K. -I. Goh , I. -M. Kim

Even under constant external conditions, the expression levels of genes fluctuate. Much emphasis has been placed on the components of this noise that are due to randomness in transcription and translation; here we analyze the role of noise…

分子网络 · 定量生物学 2013-08-01 Gasper Tkacik , Thomas Gregor , William Bialek

Coupling the control of expression stochasticity (noise) to the ability of expression change (plasticity) can alter gene function and influence adaptation. A number of factors, such as transcription re-initiation, strong chromatin…

基因组学 · 定量生物学 2012-09-12 Djordje Bajić , Juan F. Poyatos

Cellular decision making is based on regulatory circuits that associate signal thresholds to specific physiological actions. This transmission of information is subjected to molecular noise what can decrease its fidelity. Here, we show…

分子网络 · 定量生物学 2017-02-08 Guillermo Rodrigo , Juan F. Poyatos

Molecular noise in gene regulatory networks has two intrinsic components, one part being due to fluctuations caused by the birth and death of protein or mRNA molecules which are often present in small numbers and the other part arising from…

分子网络 · 定量生物学 2015-11-17 Davit A. Potoyan , Peter G. Wolynes
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