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Changes in a cell's external or internal conditions are usually reflected in the concentrations of the relevant transcription factors. These proteins in turn modulate the expression levels of the genes under their control and sometimes need…

分子网络 · 定量生物学 2013-08-01 Gasper Tkacik , Curtis G Callan , William Bialek

According to recent experimental evidence, the architecture of a promoter, defined as the number, strength and regulatory role of the operators that control the promoter, plays a major role in determining the level of cell-to-cell…

分子网络 · 定量生物学 2015-05-19 Alvaro Sanchez , Hernan Garcia , Daniel Jones , Rob Phillips , Jane' Kondev

Noise in the expression of a gene produces fluctuations in the concentration of the gene product. These fluctuations can interfere with optimal function or can be exploited to generate beneficial diversity between cells; gene expression…

分子网络 · 定量生物学 2015-05-13 Namiko Mitarai , Ian B. Dodd , Michael T. Crooks , Kim Sneppen

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

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

Signal propagation in biochemical networks is characterized by the inherent randomness in gene expression and fluctuations of the environmental components, commonly known as intrinsic and extrinsic noise, respectively. We present a…

分子网络 · 定量生物学 2024-08-09 Mintu Nandi , Sudip Chattopadhyay , Somshubhro Bandyopadhyay , Suman K Banik

It often is emphasized that gene expression is noisy. A seemingly contradictory view is that control mechanisms have been optimized to squeeze as much information as possible out of a limited number of molecules. Here we revisit these…

生物物理 · 物理学 2025-12-17 Nicholas Lawson , William Bialek

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

We study by simulation the effect of the diffusive motion of repressor molecules on the noise in mRNA and protein levels in the case of a repressed gene. We find that spatial fluctuations due to diffusion can drastically enhance the noise…

分子网络 · 定量生物学 2007-05-23 Jeroen S. van Zon , Marco J. Morelli , Sorin Tanase-Nicola , Pieter Rein ten Wolde

Exploiting the information provided by the molecular noise of a biological process has proven to be valuable in extracting knowledge about the underlying kinetic parameters and sources of variability from single cell measurements. However,…

定量方法 · 定量生物学 2013-08-30 Jakob Ruess , Andreas Milias-Argeitis , John Lygeros

Using an analytically solvable stochastic model, we study the properties of a simple genetic circuit consisting of multiple copies of an self-regulating gene. We analyse how the variation in gene copy number and the mutations changing the…

分子网络 · 定量生物学 2016-08-17 Jakub Jędrak , Anna Ochab-Marcinek

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

In the simplest view of transcriptional regulation, the expression of a gene is turned on or off by changes in the concentration of a transcription factor (TF). We use recent data on noise levels in gene expression to show that it should be…

分子网络 · 定量生物学 2013-08-01 Gasper Tkacik , Curtis G Callan , William Bialek

Transcription factors perform facilitated diffusion (3D diffusion in the cytosol and 1D diffusion on the DNA) when binding to their target sites to regulate gene expression. Here, we investigated the influence of this binding mechanism on…

分子网络 · 定量生物学 2014-09-04 Armin P. Schoech , Nicolae Radu Zabet

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

Recent whole genome polymerase binding assays have shown that a large proportion of unexpressed genes have pre-assembled RNA pol II transcription initiation complex stably bound to their promoters. Some such promoter proximally paused genes…

分子网络 · 定量生物学 2015-03-19 Alistair N. Boettiger , Peter L. Ralph , Steven N. Evans

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

Characterization of pluripotent states, in which cells can both self-renew and differentiate, and the irreversible loss of pluripotency are important research areas in developmental biology. In particular, an understanding of these…

分子网络 · 定量生物学 2015-09-02 Tadashi Miyamoto , Chikara Furusawa , Kunihiko Kaneko

Studies on the role of fluctuations in signal propagation and on gene regulation in monoclonal bacterial population have been extensively pursued based on the machinery of two-component system. The bacterial two-component system shows noise…

分子网络 · 定量生物学 2017-01-10 Tarunendu Mapder , Sudip Chattopadhyay , Suman K Banik

Regulation of gene expression is the consequence of interactions between the promoter of the gene and the transcription factors (TFs). In this paper, we explore the features of a genetic network where the TFs (activators and repressors)…

分子网络 · 定量生物学 2025-06-05 Amit Kumar Das , Debabrata Biswas
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