1372-细胞线粒体动力学全细胞数字孪生模拟

本文介绍了一种全细胞数字孪生仿真框架，通过集成4D晶格光片显微成像（LLSM）数据与基于粒子的反应扩散模拟，深入研究细胞内线粒体的动力学。该研究利用实时成像数据构建了包含线粒体网络、微管系统及分子马达的空间模型，成功预测了线粒体在微管受损后的运动变化。模拟结果揭示，微管的拓扑结构是决定线粒体分布的关键，即使增强逆向运输马达的活性，若缺乏连通的微管网络，线粒体也无法实现核周聚集。这种数字孪生方法为在生物学背景下理解复杂的细胞内部组织提供了一个可解释且具有预测性的计算平台。References:Arkfeld E, Wang Z, Hakozaki H, et al. Whole-cell particle-based digital twin simulations from 4D lattice light-sheet microscopy data[J]. bioRxiv, 2025: 2025.04. 09.647865.前往小宇宙评论区与主播互动

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1372-细胞线粒体动力学全细胞数字孪生模拟

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