Damm Eva-Maria, Pelkmans Lucas
Institute for Molecular Systems Biology, ETH Zürich, Wolfgang Pauli-Strasse 16, CH-8093 Zürich, Switzerland.
Cell Microbiol. 2006 Aug;8(8):1219-27. doi: 10.1111/j.1462-5822.2006.00745.x. Epub 2006 Jun 27.
In this article, we define systems biology of virus entry in mammalian cells as the discipline that combines several approaches to comprehensively understand the collective physical behaviour of virus entry routes, and to understand the coordinated operation of the functional modules and molecular machineries that lead to this physical behaviour. Clearly, these are extremely ambitious aims, but recent developments in different life science disciplines slowly allow us to set them as realistic, although very distant, goals. Besides classical approaches to obtain high-resolution information of the molecules, particles and machines involved, we require approaches that can monitor collective behaviour of many molecules, particles and machines simultaneously, in order to reveal design principles of the systems as a whole. Here we will discuss approaches that fall in the latter category, namely time-lapse imaging and single-particle tracking (SPT) combined with computational analysis and modelling, and genome-wide RNA interference approaches to reveal the host components required for virus entry. These techniques should in the future allow us to assign host genes to the systems' functions and characteristics, and allow emergence-driven, in silico assembly of networks that include interactions with increasing hierarchy (molecules-multiprotein complexes-vesicles and organelles), and kinetics and subcellular spatiality, in order to allow realistic simulations of virus entry in real time.
在本文中,我们将哺乳动物细胞中病毒进入的系统生物学定义为一门学科,它结合了多种方法来全面理解病毒进入途径的集体物理行为,并理解导致这种物理行为的功能模块和分子机制的协同运作。显然,这些都是极具挑战性的目标,但不同生命科学学科的最新进展正逐渐使我们能够将其设定为切实可行的目标,尽管距离实现还很遥远。除了获取所涉及分子、颗粒和机制的高分辨率信息的经典方法外,我们还需要能够同时监测许多分子、颗粒和机制集体行为的方法,以便揭示整个系统的设计原则。在这里,我们将讨论属于后一类的方法,即时延成像和单粒子追踪(SPT)结合计算分析与建模,以及全基因组RNA干扰方法,以揭示病毒进入所需的宿主成分。这些技术未来应能使我们将宿主基因与系统功能和特征相对应,并实现由涌现驱动的、包含具有递增层次结构(分子 - 多蛋白复合物 - 囊泡和细胞器)相互作用以及动力学和亚细胞空间性的网络的计算机模拟,从而实现对病毒进入的实时逼真模拟。