Department of Mathematics, Harvey Mudd College, Claremont, California.
Department of Applied & Computational Mathematics & Statistics, University of Notre Dame, South Bend, Indiana.
Biophys J. 2023 Aug 8;122(15):3108-3116. doi: 10.1016/j.bpj.2023.06.015. Epub 2023 Jun 24.
Identifying the directionality of signaling sources from noisy input to membrane receptors is an essential task performed by many cell types. A variety of models have been proposed to explain directional sensing in cells. However, many of these require significant computational and memory capacities for the cell. We propose and analyze a simple mechanism in which a cell adopts the direction associated with the first few membrane binding events. This model yields an accurate angular estimate to the source long before steady state is reached in biologically relevant scenarios. Our proposed mechanism allows for reliable estimates of the directionality of external signals using temporal information and assumes minimal computational capacities of the cell.
从噪声输入到膜受体识别信号源的方向是许多细胞类型执行的一项基本任务。已经提出了多种模型来解释细胞中的定向传感。然而，其中许多模型都需要细胞具有较大的计算能力和内存容量。我们提出并分析了一种简单的机制，即细胞采用与前几个膜结合事件相关的方向。在生物学相关场景中，在达到稳态之前，该模型就能准确地估计出源的角度。我们提出的机制利用时间信息来对外源信号的方向性进行可靠估计，并且假设细胞的计算能力最小化。
