Sasagawa Satoru, Ozaki Yu-ichi, Fujita Kazuhiro, Kuroda Shinya
Undergraduate Program for Bioinformatics and Systems Biology, Graduate School of Information Science and Technology, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-0033, Japan.
Nat Cell Biol. 2005 Apr;7(4):365-73. doi: 10.1038/ncb1233. Epub 2005 Mar 27.
To elucidate the hidden dynamics of extracellular-signal-regulated kinase (ERK) signalling networks, we developed a simulation model of ERK signalling networks by constraining in silico dynamics based on in vivo dynamics in PC12 cells. We predicted and validated that transient ERK activation depends on rapid increases of epidermal growth factor and nerve growth factor (NGF) but not on their final concentrations, whereas sustained ERK activation depends on the final concentration of NGF but not on the temporal rate of increase. These ERK dynamics depend on Ras and Rap1 dynamics, the inactivation processes of which are growth-factor-dependent and -independent, respectively. Therefore, the Ras and Rap1 systems capture the temporal rate and concentration of growth factors, and encode these distinct physical properties into transient and sustained ERK activation, respectively.
为了阐明细胞外信号调节激酶(ERK)信号网络的隐藏动力学,我们通过基于PC12细胞中的体内动力学来约束计算机模拟动力学,开发了一种ERK信号网络的模拟模型。我们预测并验证了瞬时ERK激活取决于表皮生长因子和神经生长因子(NGF)的快速增加,而不是它们的最终浓度,而持续的ERK激活取决于NGF的最终浓度,而不是增加的时间速率。这些ERK动力学取决于Ras和Rap1动力学,其失活过程分别依赖于生长因子和不依赖于生长因子。因此,Ras和Rap1系统分别捕获生长因子的时间速率和浓度,并将这些不同的物理特性编码为瞬时和持续的ERK激活。