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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

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

During embryonic development, differentiating cells respond via gene expression to positional cues from morphogen gradients. While gene expression is often highly erratic, embryonic development is precise. We show by theory and simulations…

细胞行为 · 定量生物学 2015-05-13 Thorsten Erdmann , Martin Howard , Pieter Rein ten Wolde

Gene expression is a biochemical process, where stochastic binding and un-binding events naturally generate fluctuations and cell-to-cell variability in gene dynamics. These fluctuations typically have destructive consequences for proper…

种群与进化 · 定量生物学 2022-03-22 Yen Ting Lin , Nicolas E. Buchler

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

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 in the steady-state, the number of biomolecules in living cells fluctuates dynamically; and the frequency spectrum of this chemical fluctuation carries valuable information about the mechanism and the dynamics of the intracellular…

生物物理 · 物理学 2018-08-21 Sanggeun Song , Gil-Suk Yang , Seong Jun Park , Ji-Hyun Kim , Jaeyoung Sung

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

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 precision of biochemical signaling is limited by randomness in the diffusive arrival of molecules at their targets. For proteins binding to the specific sites on the DNA and regulating transcription, the ability of the proteins to…

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

Theoretical descriptions of the stepping-stone model, a cornerstone of spatial population genetics, have long overlooked diffusive noise arising from migration dynamics. We derive an exact fluctuating hydrodynamic description of this model…

统计力学 · 物理学 2025-05-30 Rashmiranjan Bhutia , Stephy Jose , Prasad Perlekar , Kabir Ramola

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

A genetic switch may be realised by a certain operator sector on the DNA strand from which either genetic code, to the left or to the right of this operator sector, can be transcribed and the corresponding information processed. This switch…

统计力学 · 物理学 2013-01-24 Ralf Metzler

We study resonant response of an underdamped nanomechanical resonator with fluctuating frequency. The fluctuations are due to diffusion of molecules or microparticles along the resonator. They lead to broadening and change of shape of the…

介观与纳米尺度物理 · 物理学 2013-05-29 J. Atalaya , A. Isacsson , M. I. Dykman

Gene expression in cells is stochastic, yet differentiation is robust. We propose a mechanism in which frustrated genes with weakly stable intermediate expression undergo noise-driven switching between basins of attraction, followed by…

生物物理 · 物理学 2026-04-21 Davey Plugers , Kunihiko Kaneko

Strong experimental and theoretical evidence shows that transcription factors and other specific DNA-binding proteins find their sites using a two-mode search: alternating between 3D diffusion through the cell and 1D sliding along the DNA.…

生物大分子 · 定量生物学 2008-06-11 Zeba Wunderlich , Leonid A. Mirny

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

Generative diffusion processes are an emerging and effective tool for image and speech generation. In the existing methods, the underline noise distribution of the diffusion process is Gaussian noise. However, fitting distributions with…

机器学习 · 计算机科学 2021-06-17 Eliya Nachmani , Robin San Roman , Lior Wolf

Due to the stochastic nature of biochemical processes, the copy number of any given type of molecule inside a living cell often exhibits large temporal fluctuations. Here, we develop analytic methods to investigate how the noise arising…

亚细胞过程 · 定量生物学 2015-05-13 Li-ping Xiong , Yu-qiang Ma , Lei-Han Tang

Single-cell studies often show significant phenotypic variability due to the stochastic nature of intra-cellular biochemical reactions. When the numbers of molecules, e.g., transcription factors and regulatory enzymes, are in low abundance,…

定量方法 · 定量生物学 2015-06-17 Kyung Hyuk Kim , Hong Qian , Herbert M. Sauro
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