Chen Jiawen, Wu Yinghao
Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY10461, USA.
Department of Systems and Computational Biology, Albert Einstein College of Medicine, 1300 Morris Park Avenue, Bronx, NY10461, USA.
J Mol Biol. 2017 Apr 7;429(7):1081-1095. doi: 10.1016/j.jmb.2017.02.013. Epub 2017 Feb 22.
Intercellular contacts in multicellular organisms are maintained by membrane receptors called cell adhesion molecules (CAMs), which are expressed on cell surfaces. One interesting feature of CAMs is that almost all of their extracellular regions contain repeating copies of structural domains. It is not clear why so many extracellular domains need to be evolved through natural selection. We tackled this problem by computational modeling. A generic model of CAMs was constructed based on the domain organization of neuronal CAM, which is engaged in maintaining neuron-neuron adhesion in central nervous system. By placing these models on a cell-cell interface, we developed a Monte-Carlo simulation algorithm that incorporates both molecular factors including conformational changes of CAMs and cellular factor including fluctuations of plasma membranes to approach the physical process of CAM-mediated adhesion. We found that the presence of multiple domains at the extracellular region of a CAM plays a positive role in regulating its trans-interaction with other CAMs from the opposite side of cell surfaces. The trans-interaction can further be facilitated by the intramolecular contacts between different extracellular domains of a CAM. Finally, if more than one CAM is introduced on each side of cell surfaces, the lateral binding (cis-interactions) between these CAMs will positively correlate with their trans-interactions only within a small energetic range, suggesting that cell adhesion is an elaborately designed process in which both trans- and cis-interactions are fine-tuned collectively by natural selection. In short, this study deepens our general understanding of the molecular mechanisms of cell adhesion.
多细胞生物中的细胞间接触是由称为细胞粘附分子(CAMs)的膜受体维持的,这些受体在细胞表面表达。CAMs的一个有趣特征是,它们几乎所有的细胞外区域都包含结构域的重复拷贝。目前尚不清楚为什么需要通过自然选择进化出如此多的细胞外结构域。我们通过计算建模解决了这个问题。基于神经元CAM的结构域组织构建了一个通用的CAM模型,神经元CAM参与维持中枢神经系统中神经元与神经元之间的粘附。通过将这些模型放置在细胞 - 细胞界面上,我们开发了一种蒙特卡罗模拟算法,该算法结合了包括CAMs构象变化在内的分子因素和包括质膜波动在内的细胞因素,以逼近CAM介导的粘附的物理过程。我们发现,CAM细胞外区域存在多个结构域在调节其与细胞表面另一侧的其他CAMs的反式相互作用中发挥着积极作用。CAM不同细胞外结构域之间的分子内接触可以进一步促进反式相互作用。最后,如果在细胞表面的每一侧引入不止一种CAM,这些CAM之间的侧向结合(顺式相互作用)仅在一个较小的能量范围内与其反式相互作用呈正相关,这表明细胞粘附是一个精心设计的过程,其中反式和顺式相互作用都通过自然选择进行了集体微调。简而言之,这项研究加深了我们对细胞粘附分子机制的总体理解。