Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 21218, USA.
Whitaker Institute of Biomedical Engineering and Institute for Cell Engineering, Johns Hopkins University, Baltimore, MD, USA.
Wiley Interdiscip Rev Syst Biol Med. 2010 Jan-Feb;2(1):34-48. doi: 10.1002/wsbm.49.
Many cellular behaviors cannot be completely captured or appropriately described at the cell population level. Noise induced by stochastic chemical reactions, spatially polarized signaling networks, and heterogeneous cell-cell communication are among the many phenomena that require fine-grained analysis. Accordingly, the mathematical models used to describe such systems must be capable of single cell or subcellular resolution. Here, we review techniques for modeling single cells, including models of stochastic chemical kinetics, spatially heterogeneous intracellular signaling, and spatial stochastic systems. We also briefly discuss applications of each type of model.
许多细胞行为不能完全在细胞群体水平上捕捉或适当描述。由随机化学反应、空间极化信号网络和异质细胞间通讯引起的噪声就是需要细粒度分析的众多现象之一。因此，用于描述这些系统的数学模型必须能够达到单细胞或亚细胞分辨率。在这里，我们回顾了用于对单细胞进行建模的技术，包括随机化学动力学模型、空间异质细胞内信号转导模型和空间随机系统模型。我们还简要讨论了每种类型模型的应用。
