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Auto-regulatory feedback loops are one of the most common network motifs. A wide variety of stochastic models have been constructed to understand how the fluctuations in protein numbers in these loops are influenced by the kinetic…

亚细胞过程 · 定量生物学 2020-04-22 James Holehouse , Zhixing Cao , Ramon Grima

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

Stochasticity in gene expression can give rise to fluctuations in protein levels and lead to phenotypic variation across a population of genetically identical cells. Recent experiments indicate that bursting and feedback mechanisms play…

分子网络 · 定量生物学 2015-06-22 Niraj Kumar , Thierry Platini , Rahul V. Kulkarni

Understanding the relationship between spontaneous stochastic fluctuations and the topology of the underlying gene regulatory network is of fundamental importance for the study of single-cell stochastic gene expression. Here by solving the…

分子网络 · 定量生物学 2017-10-25 Chen Jia , Peng Xie , Min Chen , Michael Q. Zhang

Gene expression is significantly stochastic making modeling of genetic networks challenging. We present an approximation that allows the calculation of not only the mean and variance but also the distribution of protein numbers. We assume…

分子网络 · 定量生物学 2008-12-18 Vahid Shahrezaei , Peter S. Swain

Many cellular behaviors are regulated by gene regulation networks, kinetics of which is one of the main subjects in the study of systems biology. Because of the low number molecules in these reacting systems, stochastic effects are…

定量方法 · 定量生物学 2011-04-26 Jinzhi Lei

In the last years, tens of thousands gene expression profiles for cells of several organisms have been monitored. Gene expression is a complex transcriptional process where mRNA molecules are translated into proteins, which control most of…

生物大分子 · 定量生物学 2009-11-11 T. Ochiai , J. C. Nacher , T. Akutsu

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

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

Inside individual cells, expression of genes is stochastic across organisms ranging from bacterial to human cells. A ubiquitous feature of stochastic expression is burst-like synthesis of gene products, which drives considerable…

分子网络 · 定量生物学 2016-09-13 Pavol Bokes , Abhyudai Singh

This paper investigates the stochastic fluctuations of the number of copies of a given protein in a cell. This problem has already been addressed in the past and closed-form expressions of the mean and variance have been obtained for a…

定量方法 · 定量生物学 2012-06-05 Vincent Fromion , Emanuele Leoncini , Philippe Robert

A common model of stochastic auto-regulatory gene expression describes promoter switching via cooperative protein binding, effective protein production in the active state and dilution of proteins. Here we consider an extension of this…

亚细胞过程 · 定量生物学 2020-04-07 James Holehouse , Abhishek Gupta , Ramon Grima

Stochastic simulation can make the molecular processes of cellular control more vivid than the traditional differential-equation approach by generating typical system histories instead of just statistical measures such as the mean and…

亚细胞过程 · 定量生物学 2018-09-18 Kevin Y. Chen , Daniel M. Zuckerman , Philip C. Nelson

Recent experiments at the level of a single cell have shown that gene expression occurs in abrupt stochastic bursts. Further, in an ensemble of cells, the levels of proteins produced have a bimodal distribution. In a large fraction of…

软凝聚态物质 · 物理学 2009-11-07 Siddhartha Roy , Indrani Bose , Subhrangshu Sekhar Manna

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

Feedback loops are essential for regulating cell proliferation and maintaining the delicate balance between cell division and cell death. Thanks to the exact solution of a few simple models of cell growth it is by now clear that stochastic…

种群与进化 · 定量生物学 2023-03-07 Antonio Francesco Zirattu , Marta Biondo , Matteo Osella , Michele Caselle

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 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

Proteins are polymerized by cyclic machines called ribosome which use their messenger RNA (mRNA) track also as the corresponding template and the process is called translation. We explore, in depth and detail, the stochastic nature of the…

生物物理 · 物理学 2009-11-13 Ashok Garai , Debashish Chowdhury , T. V. Ramakrishnan

Phenotypic variation is a hallmark of cellular physiology. Metabolic heterogeneity, in particular, underpins single-cell phenomena such as microbial drug tolerance and growth variability. Much research has focussed on transcriptomic and…

分子网络 · 定量生物学 2019-01-31 Mona K. Tonn , Philipp Thomas , Mauricio Barahona , Diego A Oyarzún
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