Department of Molecular Biology, Princeton University, Princeton, NJ 08544, USA.
ACS Chem Neurosci. 2013 Apr 17;4(4):601-12. doi: 10.1021/cn300218d. Epub 2013 Feb 5.
Diverse physiological processes are regulated differentially by Ca(2+) oscillations through the common regulatory hub calmodulin. The capacity of calmodulin to combine specificity with promiscuity remains to be resolved. Here we propose a mechanism based on the molecular properties of calmodulin, its two domains with separate Ca(2+) binding affinities, and target exchange rates that depend on both target identity and Ca(2+) occupancy. The binding dynamics among Ca(2+), Mg(2+), calmodulin, and its targets were modeled with mass-action differential equations based on experimentally determined protein concentrations and rate constants. The model predicts that the activation of calcineurin and nitric oxide synthase depends nonmonotonically on Ca(2+)-oscillation frequency. Preferential activation reaches a maximum at a target-specific frequency. Differential activation arises from the accumulation of inactive calmodulin-target intermediate complexes between Ca(2+) transients. Their accumulation provides the system with hysteresis and favors activation of some targets at the expense of others. The generality of this result was tested by simulating 60 000 networks with two, four, or eight targets with concentrations and rate constants from experimentally determined ranges. Most networks exhibit differential activation that increases in magnitude with the number of targets. Moreover, differential activation increases with decreasing calmodulin concentration due to competition among targets. The results rationalize calmodulin signaling in terms of the network topology and the molecular properties of calmodulin.
多种生理过程通过共同的调节枢纽钙调蛋白(calmodulin)的 Ca(2+) 震荡进行差异调节。钙调蛋白将特异性与混杂性结合的能力仍有待解决。在这里,我们提出了一个基于钙调蛋白的分子特性、具有独立 Ca(2+) 结合亲和力的两个结构域以及依赖于靶标身份和 Ca(2+) 占有率的靶标交换率的机制。根据实验确定的蛋白质浓度和速率常数,使用质量作用微分方程对 Ca(2+)、Mg(2+)、钙调蛋白及其靶标之间的结合动力学进行建模。该模型预测钙调磷酸酶和一氧化氮合酶的激活与 Ca(2+) 震荡频率呈非单调关系。优先激活在靶标特异性频率下达到最大值。差异激活源于 Ca(2+) 瞬变之间无活性钙调蛋白-靶标中间复合物的积累。它们的积累为系统提供了滞后,并有利于某些靶标的激活而牺牲其他靶标。通过模拟具有两个、四个或八个靶标,浓度和速率常数来自实验确定的范围的 60000 个网络,测试了这个结果的普遍性。大多数网络表现出差异激活,其幅度随靶标数量的增加而增加。此外,由于靶标之间的竞争,钙调蛋白浓度的降低会导致差异激活增加。该结果根据网络拓扑和钙调蛋白的分子特性来解释钙调蛋白信号。