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In this paper we consider mathematical modeling of the dynamics of self-organized patterning of spatially confined human embryonic stem cells (hESCs) treated with BMP4 (gastruloids) described in recent experimental works (Warmflash in Nat Methods 11:847-854, 2014; Chhabra in PloS Biol 17: 3000498, 2019). In the first part of the paper we use the activator-inhibitor equations of Gierer and Meinhardt to identify 3 reaction-diffusion regimes for each of the three morphogenic proteins, BMP4, Wnt and Nodal, based on the characteristic features of the dynamic patterning. We identify appropriate boundary conditions which correspond to the experimental setup and perform numerical simulations of the reaction-diffusion (RD) systems, using the finite element approximation, to confirm that the RD systems in these regimes produce realistic dynamics of the protein concentrations. In the second part of the paper we use analytic tools to address the questions of the existence and stability of non-homogeneous steady states for the reaction-diffusion systems of the type considered in the first part of the paper.
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http://dx.doi.org/10.1007/s00285-021-01674-3 | DOI Listing |
Nat Commun
September 2025
Theoretical and Computational Systems Biology Program, Institute for Integrative Systems Biology (I2SysBio), CSIC-UV, Paterna, Spain.
Bacteria often encounter physico-chemical stresses that disrupt division, leading to filamentation, where cells elongate without dividing. Although this adaptive response improves survival, it also exposes filaments to significant mechanical strain, raising questions about the mechanochemical feedback in bacterial systems. In this study, we investigate how mechanical strain modifies the geometry of bacterial filaments and influences the Min oscillatory system, a reaction-diffusion network central to division in Escherichia coli.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Mathematics and Information Science, Guangxi University, Nanning, 530004, China. Electronic address:
This study presents a novel variable gain intermittent boundary control (VGIBC) approach for stabilizing delayed stochastic reaction-diffusion Cohen-Grossberg neural networks (SRDCGNN). In contrast to traditional constant gain intermittent boundary control (CGIBC) methods, the proposed VGIBC framework dynamically adjusts the control gain based on the operational duration within each control cycle, thereby improving adaptability to variations in work interval lengths. The time-varying control gain is designed using a piecewise interpolation method across work intervals, defined by a finite set of static gain matrices.
View Article and Find Full Text PDFACS Omega
September 2025
Department of Chemistry, American University of Beirut, P.O. Box 11-0236, Riad El-Solh, 1107 2020 Beirut, Lebanon.
Fractal growth in reaction-diffusion frameworks (RDF) offers a powerful paradigm for understanding self-assembly in chemical and materials systems. However, its connection to diffusion-limited aggregation (DLA) remains underexplored. Here, we present the first quantitative demonstration of RDF-driven fractal crystallization of benzoic acid (BA), revealing a direct correlation among fractal dimension, diffusion rate, and gel-matrix chemistry.
View Article and Find Full Text PDFNonlinear Differ Equ Appl
September 2025
Delft Institute of Applied Mathematics, Delft University of Technology, P.O. Box 5031 2600, GA Delft, The Netherlands.
In this survey, we provide an in-depth exposition of our recent results on the well-posedness theory for stochastic evolution equations, employing maximal regularity techniques. The core of our approach is an abstract notion of critical spaces, which, when applied to nonlinear SPDEs, coincides with the concept of scaling-invariant spaces. This framework leads to several sharp blow-up criteria and enables one to obtain instantaneous regularization results.
View Article and Find Full Text PDFBull Math Biol
September 2025
School of Mathematical and Statistical Sciences, University of Texas Rio Grande Valley, Edinburg, Texas, 78539, USA.
Clonorchiasis is a foodborne disease caused by parasites and transmitted to humans through intermediate hosts. Clonorchis sinensis parasitizes in the bile ducts of human liver and causes organ lesions. The cercariae and metacercaria of Clonorchis sinensis have seasonal variations and may be affected by high water temperature in summer.
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