Archuleta Michelle N, McDermott Jason E, Edwards Jeremy S, Resat Haluk
Chemical and Nuclear Engineering Department, University of New Mexico, Albuquerque, NM 87131, USA.
Computational Biology and Bioinformatics Group, Pacific Northwest National Laboratory, Richland, WA 99352, USA.
Fundam Inform. 2012;118(4). doi: 10.3233/FI-2012-720.
The spatio-temporal landscape of the plasma membrane regulates activation and signal transduction of membrane bound receptors by restricting their two-dimensional mobility and by inducing receptor clustering. This regulation also extends to complex formation between receptors and adaptor proteins, which are the intermediate signaling molecules involved in cellular signaling that relay the received cues from cell surface to cytoplasm and eventually to the nucleus. Although their investigation poses challenging technical difficulties, there is a crucial need to understand the impact of the receptor diffusivity, clustering, and spatial heterogeneity, and of receptor-adaptor protein complex formation on the cellular signal transduction patterns. Building upon our earlier studies, we have developed an adaptive coarse-grained Monte Carlo method that can be used to investigate the role of diffusion, clustering and membrane corralling on receptor association and receptor-adaptor protein complex formation dynamics in three dimensions. The new Monte Carlo lattice based approach allowed us to introduce spatial resolution on the 2-D plasma membrane and to model the cytoplasm in three-dimensions. Being a multi-resolution approach, our new method makes it possible to represent various parts of the cellular system at different levels of detail and enabled us to utilize the locally homogeneous assumption when justified (e.g., cytoplasmic region away from the cell membrane) and avoid its use when high spatial resolution is needed (e.g., cell membrane and cytoplasmic region near the membrane) while keeping the required computational complexity manageable. Our results have shown that diffusion has a significant impact on receptor-receptor dimerization and receptor-adaptor protein complex formation kinetics. We have observed an "adaptor protein hopping" mechanism where the receptor binding proteins may hop between receptors to form short-lived transient complexes. This increased residence time of the adaptor proteins near cell membrane and their ability to frequently change signaling partners may explain the increase in signaling efficiency when receptors are clustered. We also hypothesize that the adaptor protein hopping mechanism can cause concurrent or sequential activation of multiple signaling pathways, thus leading to crosstalk between diverse biological functions.
质膜的时空格局通过限制膜结合受体的二维流动性并诱导受体聚集,来调节其激活和信号转导。这种调节还延伸到受体与衔接蛋白之间的复合物形成,衔接蛋白是细胞信号传导中涉及的中间信号分子,它们将接收到的信号从细胞表面传递到细胞质,最终传递到细胞核。尽管对它们的研究存在具有挑战性的技术难题,但迫切需要了解受体扩散、聚集和空间异质性,以及受体 - 衔接蛋白复合物形成对细胞信号转导模式的影响。基于我们早期的研究,我们开发了一种自适应粗粒度蒙特卡罗方法,可用于研究扩散、聚集和膜围栏在三维空间中对受体缔合以及受体 - 衔接蛋白复合物形成动力学的作用。基于蒙特卡罗晶格的新方法使我们能够在二维质膜上引入空间分辨率,并对三维细胞质进行建模。作为一种多分辨率方法,我们的新方法能够以不同的详细程度表示细胞系统的各个部分,并使我们能够在合理的情况下(例如远离细胞膜的细胞质区域)利用局部均匀假设,而在需要高空间分辨率时(例如细胞膜和靠近膜的细胞质区域)避免使用该假设,同时保持所需的计算复杂度可控。我们的结果表明,扩散对受体 - 受体二聚化以及受体 - 衔接蛋白复合物形成动力学有显著影响。我们观察到一种“衔接蛋白跳跃”机制,即受体结合蛋白可能在受体之间跳跃以形成短暂的瞬时复合物。衔接蛋白在细胞膜附近停留时间的增加以及它们频繁改变信号伴侣的能力,可能解释了受体聚集时信号传导效率的提高。我们还假设,衔接蛋白跳跃机制可能导致多个信号通路同时或相继激活,从而导致不同生物学功能之间的串扰。