Department of Mathematics and Statistics, Boston University, Boston, Massachusetts, United States of America.
Department of Cellular and Molecular Medicine, University of California, San Diego Medical School, San Diego, California, United States of America.
PLoS Comput Biol. 2020 Nov 16;16(11):e1008356. doi: 10.1371/journal.pcbi.1008356. eCollection 2020 Nov.
For a chemical signal to propagate across a cell, it must navigate a tortuous environment involving a variety of organelle barriers. In this work we study mathematical models for a basic chemical signal, the arrival times at the nuclear membrane of proteins that are activated at the cell membrane and diffuse throughout the cytosol. Organelle surfaces within human B cells are reconstructed from soft X-ray tomographic images, and modeled as reflecting barriers to the molecules' diffusion. We show that signal inactivation sharpens signals, reducing variability in the arrival time at the nuclear membrane. Inactivation can also compensate for an observed slowdown in signal propagation induced by the presence of organelle barriers, leading to arrival times at the nuclear membrane that are comparable to models in which the cytosol is treated as an open, empty region. In the limit of strong signal inactivation this is achieved by filtering out molecules that traverse non-geodesic paths.
为了使化学信号在细胞中传播,它必须在涉及各种细胞器障碍的曲折环境中导航。在这项工作中,我们研究了基本化学信号(在细胞膜上被激活并在细胞质中扩散的蛋白质到达核膜的时间)的数学模型。用人的 B 细胞的软 X 射线断层图像重建细胞器表面,并将其建模为分子扩散的反射障碍。我们表明,信号失活会使信号变锐,从而减少核膜到达时间的可变性。失活还可以补偿由于细胞器障碍的存在而导致的信号传播速度减慢,从而使核膜的到达时间与将细胞质视为开放、空的区域的模型相当。在信号失活很强的情况下,这是通过过滤掉那些穿过非测地线路径的分子来实现的。