Zienkiewicz Centre for Computational Engineering, Faculty of Science and Engineering, Swansea University, UK.
Zienkiewicz Centre for Computational Engineering, Faculty of Science and Engineering, Swansea University, UK.
Comput Biol Med. 2023 Sep;164:107111. doi: 10.1016/j.compbiomed.2023.107111. Epub 2023 Jun 10.
Agonist-induced Ca signaling is essential for the regulation of many vital functions in endothelial cells (ECs). A broad range of stimuli elevate the cytosolic Ca concentration by promoting a pathway mediated by inositol 1,4,5 trisphosphate (IP) which causes Ca release from intracellular stores. Despite its importance, there are very few studies focusing on the quantification of such dynamics in the vascular endothelium. Here, by using data from isolated ECs, we established a minimalistic modeling framework able to quantitatively capture the main features (averaged over a cell population) of the cytosolic Ca response to different IP stimulation levels. A suitable description of Ca-regulatory function of inositol 1,4,5 trisphosphate receptors (IPRs) and corresponding parameter space are identified by comparing the different model variants against experimental mean population data. The same approach is used to numerically assess the relevance of cytosolic Ca buffering, as well as Ca store IP-sensitivity in the overall cell dynamics. The variability in the dynamics' features observed across the population can be explained (at least in part) through variation of certain model parameters (such as buffering capacity or Ca store sensitivity to IP). The results, in terms of experimental fitting and validation, support the proposed minimalistic model as a reference framework for the quantification of the EC Ca dynamics induced by IPRs activation.
激动剂诱导的 Ca 信号对于内皮细胞 (ECs) 中许多重要功能的调节至关重要。广泛的刺激通过促进由肌醇 1,4,5 三磷酸 (IP) 介导的途径来提高细胞溶质 Ca 浓度,从而导致细胞内储存的 Ca 释放。尽管其重要性,但是很少有研究集中在血管内皮细胞中这种动力学的定量研究上。在这里,通过使用分离的 ECs 的数据,我们建立了一个最小化建模框架,能够定量捕获细胞溶质 Ca 对不同 IP 刺激水平的反应的主要特征(在细胞群体上平均)。通过将不同的模型变体与实验平均群体数据进行比较,确定了肌醇 1,4,5 三磷酸受体 (IPR) 的 Ca 调节功能的合适描述以及相应的参数空间。还使用相同的方法来数值评估细胞溶质 Ca 缓冲以及 IP 敏感性在整体细胞动力学中的相关性。通过观察整个群体中动态特征的变化,可以解释(至少部分解释)通过某些模型参数(例如缓冲能力或 Ca 库对 IP 的敏感性)的变化。就实验拟合和验证而言,结果支持所提出的最小化模型作为量化 IPR 激活诱导的 EC Ca 动力学的参考框架。