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Cells of the human body have nearly identical genome but exhibit very different phenotypes that allow them to carry out specific functions and react to changes in their surrounding environment. This division of labour is achieved by…

We study time continuous branching processes with exponentially distributed lifetimes, with two types of cells that proliferate according to binary fission. A range of possible system dynamics are considered, each of which is characterized…

概率论 · 数学 2022-04-27 Nam H Nguyen , Marek Kimmel

Cell proliferation is typically incorporated into stochastic mathematical models of cell migration by assuming that cell divisions occur after an exponentially distributed waiting time. Experimental observations, however, show that this…

细胞行为 · 定量生物学 2018-06-11 Enrico Gavagnin , Matthew J. Ford , Richard L. Mort , Tim Rogers , Christian A. Yates

Stem cells are characterized by their ability to self-renew, as well as to differentiate and give rise to new populations of cells. Stem cell divisions are crucial for generative processes that occur during early development, and later in…

应用统计 · 统计学 2025-08-29 Haim Bar , Huyen Nguyen , Joanne Conover

Heterogeneity in the size distribution of cancer cell populations has been recently linked to drug resistance and invasiveness. However, despite many progresses have been made in understanding how such heterogeneous size distributions arise…

细胞行为 · 定量生物学 2023-10-23 Mattia Miotto , Simone Scalise , Marco Leonetti , Giancarlo Ruocco , Giovanna Peruzzi , Giorgio Gosti

Density dependence is important in the ecology and evolution of microbial and cancer cells. Typically, we can only measure net growth rates, but the underlying density-dependent mechanisms that give rise to the observed dynamics can…

种群与进化 · 定量生物学 2025-06-04 Linh Huynh , Jacob G. Scott , Peter J. Thomas

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

An individual-based model of stochastic branching is proposed and studied, in which point particles drift in $\bar{\mathds{R}}_{+}:=[0,+\infty)$ towards the origin (edge) with unit speed, where each of them splits into two particles that…

动力系统 · 数学 2019-10-30 Yuri Kozitsky

Two powerful and complementary experimental approaches are commonly used to study the cell cycle and cell biology: One class of experiments characterizes the statistics (or demographics) of an unsynchronized exponentially-growing…

生物物理 · 物理学 2022-02-02 Dean Huang , Teresa Lo , Houra Merrikh , Paul A. Wiggins

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

Metastasis, the spread of cancer cells from a primary tumor to secondary location(s) in the human organism, is the ultimate cause of death for the majority of cancer patients. That is why, it is crucial to understand metastases evolution in…

种群与进化 · 定量生物学 2020-06-24 Maroussia Slavtchova-Bojkova , Kaloyan Vitanov

Recent evidence suggests that nongenetic (epigenetic) mechanisms play an important role at all stages of cancer evolution. In many cancers, these mechanisms have been observed to induce dynamic switching between two or more cell states,…

定量方法 · 定量生物学 2023-06-16 Einar Bjarki Gunnarsson , Jasmine Foo , Kevin Leder

Stochastic models of sequential mutation acquisition are widely used to quantify cancer and bacterial evolution. Across manifold scenarios, recurrent research questions are: how many cells are there with $n$ alterations, and how long will…

种群与进化 · 定量生物学 2023-07-07 Michael D. Nicholson , David Cheek , Tibor Antal

We propose a stochastic model for evolution. Births and deaths of species occur with constant probabilities. Each new species is associated with a fitness sampled from the uniform distribution on [0,1]. Every time there is a death event…

概率论 · 数学 2010-11-09 Herve Guiol , Fabio P. Machado , Rinaldo B. Schinazi

Recent work on particle-based models of tissues has suggested that any finite rate of cell division and cell death is sufficient to fluidize an epithelial tissue. At the same time, experimental evidence has indicated the existence of glassy…

软凝聚态物质 · 物理学 2019-05-07 Michael Czajkowski , Daniel M. Sussman , M. Cristina Marchetti , M. Lisa Manning

Stem cells, through their ability to produce daughter stem cells and differentiate into specialized cells, are essential in the growth, maintenance, and repair of biological tissues. Understanding the dynamics of cell populations in the…

应用统计 · 统计学 2026-02-02 Huyen Nguyen , Haim Bar , Zhiyi Chi , Vladimir Pozdnyakov

Initiation and development of a malignant tumor is a complex phenomenon that has critical stages determining its long time behavior. This phenomenon is mathematically described by means of various models: from simple heuristic models to…

种群与进化 · 定量生物学 2020-03-23 Yuri Kozitsky , Krzysztof Pilorz

We study a stochastic epidemic model consisting of elements (organisms in a community or cells in tissue) with fixed positions, in which damage or disease is transmitted by diffusing agents ("signals") emitted by infected individuals. The…

种群与进化 · 定量生物学 2015-06-05 Fernando P. Faria , Ronald Dickman

Stem cell regeneration is a crucial biological process for most self-renewing tissues during the development and maintenance of tissue homeostasis. In developing the mathematical models of stem cell regeneration and tissue development, cell…

定量方法 · 定量生物学 2024-01-17 Jinzhi Lei

In order to fulfill cell proliferation and differentiation through cellular hierarchy, stem cells can undergo either asymmetric or symmetric divisions. Recent studies pay special attention to the effect of different modes of stem cell…

种群与进化 · 定量生物学 2020-10-08 Zhijie Wu , Yuman Wang , Kun Wang , Da Zhou
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