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arXiv 2410.03395physics.bio-phcond-mat.softcs.ITmath.ITq-bio.CB
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用于最优空间梯度感知的受体局部聚类与全局分布

Local Clustering and Global Spreading of Receptors for Optimal Spatial Gradient Sensing

Albert Alonso, Robert G. Endres, Julius B. Kirkegaard

备注：
This version has been accepted for publication in Physical Review Letters. The final version is available at https://doi.org/10.1103/PhysRevLett.134.158401. Title has changed
发表信息：
Phys. Rev. Lett. 134, 158401 (2025)
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AI总结：

本研究通过最小化梯度估计不确定性的理论模型，揭示细胞表面受体在完美球面均匀分布、扰动下高曲率区域聚类的最优分布规律，为现实场景中受体聚类提供实用解释。

摘要：

细胞表面受体的空间信息对于需要信号处理和环境感知的过程至关重要。本文通过一个最小化梯度估计不确定性的理论模型，研究此类受体的最优分布。无需先验了解感知的物理限制或生化过程，我们重现了与真实细胞中观察到的高度相似的聚类现象。在完美球面上，最优分布的受体均匀扩散；当扰动破坏对称性时，受体在高曲率区域聚类，大幅降低估计不确定性，这与最小化受体和细胞膜弹性偏好差异的机制模型一致。我们进一步将模型扩展到响应细胞形状变化和外部流体流动的运动受体，证明模型在现实场景中的相关性。研究结果为高曲率区域受体聚类提供了简单实用的解释，尤其是在感知精度至关重要时。

英文摘要：

Spatial information from cell-surface receptors is crucial for processes that require signal processing and sensing of the environment. Here, we investigate the optimal placement of such receptors through a theoretical model that minimizes uncertainty in gradient estimation. Without requiring a priori knowledge of the physical limits of sensing or biochemical processes, we reproduce the emergence of clusters that closely resemble those observed in real cells. On perfect spherical surfaces, optimally placed receptors spread uniformly. When perturbations break their symmetry, receptors cluster in regions of high curvature, massively reducing estimation uncertainty. This agrees with mechanistic models that minimize elastic preference discrepancies between receptors and cell membranes. We further extend our model to motile receptors responding to cell-shape changes and external fluid flow, demonstrating the relevance of our model in realistic scenarios. Our findings provide a simple and utilitarian explanation for receptor clustering at high-curvature regions when high sensing accuracy is paramount.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。

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