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We study the statistical properties of a simple genetic regulatory network that provides heterogeneity within a population of cells. This network consists of a binary genetic switch in which stochastic flipping between the two switch states…

软凝聚态物质 · 物理学 2009-03-31 Paolo Visco , Rosalind J. Allen , Martin R. Evans

Multiple phenotypic states often arise in a single cell with different gene-expression states that undergo transcription regulation with positive feedback. Recent experiments have shown that at least in E. coli, the gene state switching can…

分子网络 · 定量生物学 2015-10-28 Hao Ge , Hong Qian , Sunney Xiaoliang Xie

During tissue development, patterns of gene expression determine the spatial arrangement of cell types. In many cases, gradients of secreted signaling molecules - morphogens - guide this process. The continuous positional information…

分子网络 · 定量生物学 2017-02-08 Ruben Perez-Carrasco , Pilar Guerrero , James Briscoe , Karen Page

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

Multistable gene regulatory systems sustain different levels of gene expression under identical external conditions. Such multistability is used to encode phenotypic states in processes including nutrient uptake and persistence in bacteria,…

分子网络 · 定量生物学 2014-12-05 Prasanna M. Bhogale , Robin A. Sorg , Jan-Willem Veening , Johannes Berg

We study the asymptotic behaviors of stochastic cell fate decision between proliferation and differentiation. We propose a model of a self-replicating Langevin system, where cells choose their fate (i.e. proliferation or differentiation)…

统计力学 · 物理学 2017-07-12 Hiroki Yamaguchi , Kyogo Kawaguchi , Takahiro Sagawa

Gene regulatory network of lambda phage is one the best studied model systems in molecular biology. More 50 years of experimental study has provided a tremendous amount of data at all levels: physics, chemistry, DNA, protein, and function.…

分子网络 · 定量生物学 2007-05-23 X. -M. Zhu , L. Yin , L. Hood , P. Ao

Cells use genetic switches to shift between alternate gene expression states, e.g., to adapt to new environments or to follow a developmental pathway. Here, we study the dynamics of switching in a generic-feedback on/off switch. Unlike…

分子网络 · 定量生物学 2015-05-27 Michael Assaf , Elijah Roberts , Zaida Luthey-Schulten

One of the fundamental cellular processes governed by genetic regulatory networks in cells is the transition among different states under the intrinsic and extrinsic noise. Based on a two-state genetic switching model with positive…

分子网络 · 定量生物学 2012-12-18 Cheng Lv , Xiaoguang Li , Fangting Li , Tiejun Li

Cells use genetic switches to shift between alternate stable gene expression states, e.g., to adapt to new environments or to follow a developmental pathway. Conceptually, these stable phenotypes can be considered as attractive states on an…

分子网络 · 定量生物学 2021-06-18 Michael Assaf , Shay Be'er , Elijah Roberts

Cells are known to utilize biochemical noise to probabilistically switch between distinct gene expression states. We demonstrate that such noise-driven switching is dominated by tails of probability distributions and is therefore…

分子网络 · 定量生物学 2009-11-13 Pankaj Mehta , Ranjan Mukhopadhyay , Ned S. Wingreen

Phage lambda is one of the most studied biological models in modern molecular biology. Over the past 50 years quantitative experimental knowledge on this biological model has been accumulated at all levels: physics, chemistry, genomics,…

亚细胞过程 · 定量生物学 2007-05-23 X. Zhu , L. Yin , L. Hood , D. Galas , P. Ao

In biology phenotypic switching is a common bet-hedging strategy in the face of uncertain environmental conditions. Existing mathematical models often focus on periodically changing environments to determine the optimal phenotypic response.…

种群与进化 · 定量生物学 2018-03-14 Peter G. Hufton , Yen Ting Lin , Tobias Galla

Bistable biochemical switches are ubiquitous in gene regulatory networks and signal transduction pathways. Their switching dynamics, however, are difficult to study directly in experiments or conventional computer simulations, because…

分子网络 · 定量生物学 2009-11-10 Rosalind J. Allen , Patrick B. Warren , Pieter Rein ten Wolde

A natural phenomenon occurring in a living system is an outcome of the dynamics of the specific biological network underlying the phenomenon. The collective dynamics have both deterministic and stochastic components. The stochastic nature…

统计力学 · 物理学 2023-09-01 Indrani Bose

We have uncovered that the non-equilibrium network dynamics and global properties are determined by two essential features: the potential landscape and the flux landscape. We have found that the funneled potential landscape is crucial for…

生物物理 · 物理学 2017-11-01 Xiaosheng Luo , Liufang Xu , Jin Wang

The bistable gene regulatory switch controlling the transition from lysogeny to lysis in bacteriophage lambda presents a unique challenge to quantitative modeling. Despite extensive characterization of this regulatory network, the origin of…

分子网络 · 定量生物学 2015-05-13 Marco J. Morelli , Pieter Rein ten Wolde , Rosalind J. Allen

Maintaining tissue homeostasis requires appropriate regulation of stem cell differentiation. The Waddington landscape posits that gene circuits in a cell form a potential landscape of different cell types, wherein cells follow attractors of…

定量方法 · 定量生物学 2023-09-15 Rongsheng Huang , Qiaojun Situ , Jinzhi Lei

A protocell model consisting of mutually catalyzing molecules is studied in order to investigate how chemical compositions are transferred recursively through cell divisions under replication errors. Depending on the path rate, the numbers…

凝聚态物理 · 物理学 2009-11-10 Kunihiko Kaneko

Cells can often choose among several stably heritable phenotypes. Examples are the expression of genes in eukaryotic cells where long chromosomal regions can adopt persistent and heritable silenced or active states, that may be associated…

分子网络 · 定量生物学 2015-05-18 Mille A. Micheelsen , Namiko Mitarai , Kim Sneppen , Ian. B. Dodd
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