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Mon. Jul 7, 2025

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From Genetic Circuits to Emergent Spatiotemporal Tissue Patterns: Insights from <em>in-silico </em>dynamics

Cell-cell interactions, collective migration, and fate transitions are at the heart of life’s most intricate processes,from embryonic development to the progression of diseases like cancer. These dynamic behaviors drive tissue organization, repair, and adaptation, while their dysregulation underpins pathologies such as tumor progression and metastasis. Understanding how cells communicate, coordinate their movements, and navigate fate decisions is key to unravelling the molecular and mechanical forces shaping development and diseases.<br>Mathematical modeling and biophysical approaches offer powerful framework to decipher these complexities. By combining quantitative tools with experimental data, we can unravel the interplay of biochemical signaling, mechanical forces, and emergent population behaviors. These approaches illuminate how cells migrate collectively during development or metastasis, how fate decisions arise from dynamic gene regulatory networks, and how heterogeneity fosters adaptability in diverse contexts.<br>This mini-symposium will showcase cutting-edge mathematical and biophysical approaches to study these crucial cellular processes. Presentations will explore quantitative models of cell-cell interactions, migration, fate transitions, and heterogeneity, with a goal of advancing our understanding of cellular dynamics and informing the development of novel therapeutic strategies for diseases like cancer and tissue regeneration.

Mathematical and biophysical modeling of collective cell migration, fate transition, and heterogeneity in development and diseases

Joint Meeting of Asian Conference for Mathematical Biology and Annual Meeting of Japanese Society for Mathematical Biology (ACMB-JSMB2025)

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[MS05-02]From Genetic Circuits to Emergent Spatiotemporal Tissue Patterns: Insights from in-silico dynamics

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