Wenderski Wendy C, Neves Susana R
Department of Pharmacology and System Therapeutics, Friedman Brain Institute, Systems Biology Center of New York, Mount Sinai School of Medicine, New York, New York, USA.
Methods Enzymol. 2012;505:105-24. doi: 10.1016/B978-0-12-388448-0.00014-0.
A neuron is able to seamlessly respond to a number of signals, in a timely and specific manner. This process, of integrating multiple inputs, relays on the orchestration of intracellular events by signaling networks. The inherent complexity of signaling networks has made computational modeling a useful approach to understand their underlying regulatory principles. Recent advances in imaging techniques have highlighted the nonhomogeneous nature of intracellular signaling and its significant contribution to the maintenance of signal specificity. Computational modeling can provide mechanistic insight into the origins of these inhomogeneous distributions of signaling components and their role in the integrative capabilities of the neuron.
神经元能够及时、特异性地无缝响应多种信号。这一整合多个输入的过程依赖于信号网络对细胞内事件的协调。信号网络固有的复杂性使得计算建模成为理解其潜在调控原理的有用方法。成像技术的最新进展凸显了细胞内信号传导的非均匀性质及其对信号特异性维持的重要贡献。计算建模可以提供机制性见解，以了解这些信号成分非均匀分布的起源及其在神经元整合能力中的作用。
