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Tumors initiate when a population of proliferating cells accumulates a certain number and type of genetic and/or epigenetic alterations. The population dynamics of such sequential acquisition of (epi)genetic alterations has been the topic…

种群与进化 · 定量生物学 2015-04-09 Peter Ashcroft , Franziska Michor , Tobias Galla

It has been recently shown that the exponential growth rate of a population of bacterial cells starting from a single cell shows transient oscillations due to early synchronized bursts of division. These oscillations are enhanced by cell…

种群与进化 · 定量生物学 2024-08-05 Yaïr Hein , Farshid Jafarpour

Evolutionary transitions among ecological interactions are widely known, although their detailed dynamics remain absent for most population models. Adaptive dynamics has been used to illustrate how the parameters of population models might…

种群与进化 · 定量生物学 2022-11-14 Luciano Stucchi , Javier Galeano , Juan Manuel Pastor , José María Iriondo , José A. Cuesta

Cellular life requires the presence of a set of biochemical mechanisms in order to maintain a predictable process of growth and division. Several attempts have been made towards the building of minimal protocells from a top-down approach,…

细胞行为 · 定量生物学 2007-05-23 Javier Macia , Ricard V. Sole

Evolution produces complex and structured networks of interacting components in chemical, biological, and social systems. We describe a simple mathematical model for the evolution of an idealized chemical system to study how a network of…

适应与自组织系统 · 物理学 2014-03-05 Sanjay Jain , Sandeep Krishna

We compare and contrast the long-time dynamical properties of two individual-based models of biological coevolution. Selection occurs via multispecies, stochastic population dynamics with reproduction probabilities that depend nonlinearly…

种群与进化 · 定量生物学 2011-11-10 Per Arne Rikvold

Stochastic systems often exhibit multiple viable metastable states that are long-lived. Over very long timescales, fluctuations may push the system to transition between them, drastically changing its macroscopic configuration. In realistic…

统计力学 · 物理学 2023-04-14 Tobias Grafke , Alessandro Laio

We propose a modelling framework to analyse the stochastic behaviour of heterogeneous, multi-scale cellular populations. We illustrate our methodology with a particular example in which we study a population with an oxygen-regulated…

生物物理 · 物理学 2017-09-01 Roberto de la Cruz , Pilar Guerrero , Fabian Spill , Tomás Alarcón

Recently, a first step was made by the authors towards a systematic investigation of the effect of reaction-step-size noise - uncertainty in the step size of the reaction - on the dynamics of stochastic populations. This was done by…

统计力学 · 物理学 2016-12-21 Shay Be'er , Michael Assaf

Among various possible causes of autoimmune disease, an important role is played by infections that can result in a breakdown of immune tolerance, primarily through the mechanism of "molecular mimicry". In this paper we propose and analyse…

组织与器官 · 定量生物学 2018-05-21 F. Fatehi , S. N. Kyrychko , A. Ross , Y. N. Kyrychko , K. B. Blyuss

Phase variation, or stochastic switching between alternative states of gene expression, is common among microbes, and may be important in coping with changing environments. We use a theoretical model to assess whether such switching is a…

种群与进化 · 定量生物学 2010-04-13 Paolo Visco , Rosalind J. Allen , Satya N. Majumdar , Martin R. Evans

Compartmentalization of biochemical processes underlies all biological systems, from the organelle to the tissue scale. Theoretical models to study the interplay between noisy reaction dynamics and compartmentalization are sparse, and…

定量方法 · 定量生物学 2022-06-08 Lorenzo Duso , Christoph Zechner

The composition of a protoplanetary disk is set by a combination of interstellar inheritance and gas and grain surface chemical reactions within the disk. The survival of inherited molecules, as well as the disk in situ chemistry depends on…

太阳与恒星天体物理 · 物理学 2020-03-04 Ellen M. Price , L. Ilsedore Cleeves , Karin I. Öberg

We consider a generic proto-cell model consisting of any conservative chemical reaction network embedded within a membrane. The membrane results from the self-assembly of one of the chemical species (membrane precursor) and is…

分子网络 · 定量生物学 2014-11-26 Erwan Bigan , Stéphane Douady , Jean-Marc Steyaert

I discuss the so-called stochastic individual based model of adaptive dynamics and in particular how different scaling limits can be obtained by taking limits of large populations, small mutation rate, and small effect of single mutations…

种群与进化 · 定量生物学 2021-07-06 Anton Bovier

We consider the modeling of the dynamics of the chemostat at its very source. The chemostat is classically represented as a system of ordinary differential equations. Our goal is to establish a stochastic model that is valid at the scale…

定量方法 · 定量生物学 2011-07-07 Fabien Campillo , Marc Joannides , Irène Larramendy

Biological evolution of a population is governed by the fitness landscape, which is a map from genotype to fitness. However, a fitness landscape depends on the organisms environment, and evolution in changing environments is still poorly…

种群与进化 · 定量生物学 2022-09-26 Suman G Das , Joachim Krug , Muhittin Mungan

The skin microbiome plays an important role in the maintenance of a healthy skin. It is an ecosystem, composed of several species, competing for resources and interacting with the skin cells. Imbalance in the cutaneous microbiome, also…

定量方法 · 定量生物学 2022-06-22 Eléa Thibault Greugny , Georgios N Stamatas , François Fages

Understanding how stochastic and non-linear deterministic processes interact is a major challenge in population dynamics theory. After a short review, we introduce a stochastic individual-centered particle model to describe the evolution in…

概率论 · 数学 2009-06-29 Regis Ferriere , Viet Chi Tran

In multicellular organisms, several cell states coexist. For determining each cell type, cell-cell interactions are often essential, in addition to intracellular gene expression dynamics. Based on dynamical systems theory, we propose a…

细胞行为 · 定量生物学 2007-12-05 Akihiko Nakajima , Kunihiko Kaneko