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相关论文: Coarsening dynamics of chemotactic aggregates

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The spreading of bacterial populations is central to processes in agriculture, the environment, and medicine. However, existing models of spreading typically focus on cells in unconfined settings--despite the fact that many bacteria inhabit…

种群与进化 · 定量生物学 2022-06-07 Daniel B. Amchin , Jenna A. Ott , Tapomoy Bhattacharjee , Sujit S. Datta

Chemotaxis, i.e. motion generated by chemical gradients, is a motility mode shared by many living species that has been developed by evolution to optimize certain biological processes such as foraging or immune response. In particular,…

软凝聚态物质 · 物理学 2023-05-24 Hugues Meyer , Heiko Rieger

We consider the singular limit of a chemotaxis model of bacterial collective motion recently introduced in arXiv:2009.11048 [math.AP]. The equation models aggregation-diffusion phenomena with advection that is discontinuous and depends…

偏微分方程分析 · 数学 2025-08-28 Maria Gualdani , Mikel Ispizua , Nicola Zamponi

In this paper we deal with diffusive relaxation limits of nonlinear systems of Euler type modeling chemotactic movement of cells toward Keller--Segel type systems. The approximating systems are either hyperbolic--parabolic or…

偏微分方程分析 · 数学 2008-07-25 M. Di Francesco , D. Donatelli

The collective chemotaxis of multicellular clusters is an important phenomenon in various physiological contexts, ranging from embryonic development to cancer metastasis. Such clusters often display interesting shape dynamics and…

组织与器官 · 定量生物学 2025-06-03 Monika Sanoria , Gema Malet-Engra , Giorgio Scita , Nir Gov , Ajay Gopinathan

We consider the Keller-Segel model of chemotaxis on one-dimensional networks. Using a variational characterization of solutions, positivity preservation, conservation of mass, and energy estimates, we establish global existence of weak…

数值分析 · 数学 2018-05-03 Herbert Egger , Lucas Schöbel-Kröhn

One of the most important findings in the study of chemotactic process is self-organized cellular aggregation, and a high volume of results are devoted to the analysis of a concentration of single species. Whereas, the multi-species case is…

偏微分方程分析 · 数学 2025-02-20 Fanze Kong , Juncheng Wei , Liangshun Xu

Models for chemotaxis are based on gradient sensing of individual organisms. The key contribution of Keller and Segel is showing that erratic movements of individuals may result in an accurate chemotaxis phenomenon as a group. In this paper…

种群与进化 · 定量生物学 2013-07-31 Changwook Yoon , Yong-Jung Kim

Populations can become spatially organised through chemotaxis autoattraction, wherein population members release their own chemoattractant. Standard models of this process usually assume phenotypic homogeneity, but recent studies have shed…

种群与进化 · 定量生物学 2025-06-05 Tommaso Lorenzi , Kevin J. Painter

We study the stationary Keller--Segel chemotaxis models with logistic cellular growth over a one-dimensional region subject to the Neumann boundary condition. We show that nonconstant solutions emerge in the sense of Turing's instability as…

偏微分方程分析 · 数学 2016-04-19 Qi Wang , Jingda Yan , Chunyi Gai

The Keller--Segel PDE is a model for chemotaxis known to exhibit possible finite-time blow-up. Following a seminal work by Tello and Winkler, a logistic damping term is added in this PDE and local well-posedness of mild solutions is proven.…

概率论 · 数学 2025-12-24 Thomas Cavallazzi , Alexandre Richard , Milica Tomasevic

The Keller-Segel (KS) chemotaxis system is used to describe the overall behavior of a collection of cells under the influence of chemotaxis. However, solving the KS chemotaxis system and generating its aggregation patterns remain…

数值分析 · 数学 2025-10-17 Yani Feng , Michael K. Ng , Zhiwen Zhang

Collective motion of chemotactic bacteria as E. Coli relies, at the individual level, on a continuous reorientation by runs and tumbles. It has been established that the length of run is decided by a stiff response to a temporal sensingof…

偏微分方程分析 · 数学 2018-08-15 Benoît Perthame , Shugo Yasuda

Collective migration -- the directed, coordinated motion of many self-propelled agents -- is a fascinating emergent behavior exhibited by active matter that has key functional implications for biological systems. Extensive studies have…

生物物理 · 物理学 2022-06-07 Tapomoy Bhattacharjee , Daniel B. Amchin , Ricard Alert , J. A. Ott , Sujit S. Datta

We perform a linear dynamical stability analysis of a general hydrodynamic model of chemotactic aggregation [Chavanis & Sire, Physica A, in press (2007)]. Specifically, we study the stability of an infinite and homogeneous distribution of…

生物物理 · 物理学 2009-11-13 Pierre-Henri Chavanis , Clement Sire

It is known that in two dimensions the classical Keller-Segel model can lead to cell aggregation. This behavior can be controlled by adding a logistic growth term with quadratic decay. Researchers have tried to find weaker damping…

偏微分方程分析 · 数学 2026-03-17 Nohayla Alaoui , Mohamed Halloumi , Giuseppe Viglialoro

We introduce a multi-species diffuse interface model for tumor growth, characterized by its incorporation of essential features related to chemotaxis, angiogenesis and proliferation mechanisms. We establish the weak well-posedness of the…

偏微分方程分析 · 数学 2023-11-23 Abramo Agosti , Andrea Signori

The emergence of clustering and coarsening in crowded ensembles of self-propelled agents is studied using a lattice model in one-dimension. The persistent exclusion process, where particles move at directions that change randomly at a low…

统计力学 · 物理学 2016-08-24 Nestor Sepulveda , Rodrigo Soto

Motile bacteria can migrate along chemical gradients in a process known as chemotaxis. When exposed to uniform environmental stress, Escherichia coli cells coordinate their chemotactic responses to form millimeter-sized condensates…

生物物理 · 物理学 2025-05-02 Nir Livne , Ady Vaknin , Oded Agam

Chemotaxis is a directed cell movement in response to external chemical stimuli. In this paper, we propose a simple model for the origin of chemotaxis - namely how a directed movement in response to an external chemical signal may occur…

偏微分方程分析 · 数学 2023-06-30 Yishu Gong , Alexander Kiselev