In this paper, a dynamic model of cytosolic calcium concentration () oscillations is established for mast cells (MCs). This model includes the cytoplasm (Cyt), endoplasmic reticulum (ER), mitochondria (Mt), and functional region (μd), formed by the ER and Mt, also with channels in these cellular compartments. By this model, we calculate oscillations that are driven by distinct mechanisms at varying (degradation coefficient of inositol 1, 4, 5-trisphosphate, and production coefficient of ), as well as at different distances between the ER and Mt (ER–Mt distance). The model predicts that (i) Mt and μd compartments can reduce the amplitude of oscillations, and cause the ER to release less during oscillations; (ii) with increasing cytosolic concentration (), the amplitude of oscillations increases (from 0.1 μM to several μM), but the frequency decreases; (iii) the frequency of oscillations decreases as the ER–Mt distance increases. What is more, when the ER–Mt distance is greater than 65 nm, the μd compartment has less effect on oscillations. These results suggest that Mt, μd, and can all affect the amplitude and frequency of oscillations, but the mechanism is different. The model provides a comprehensive mechanism for predicting cytosolic concentration oscillations in mast cells, and a theoretical basis for calcium oscillations observed in mast cells, so as to better understand the regulation mechanism of calcium signaling in mast cells.

中文翻译：

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肥大细胞中细胞溶质钙浓度振荡的动态模型

在本文中，针对肥大细胞 (MC) 建立了细胞溶质钙浓度 () 振荡的动态模型。该模型包括由 ER 和 Mt 形成的细胞质 (Cyt)、内质网 (ER)、线粒体 (Mt) 和功能区 (μd)，在这些细胞区室中也有通道。通过该模型，我们计算了由不同机制驱动的振荡（肌醇 1、4、5-三磷酸的降解系数和 的产生系数），以及 ER 和 Mt 之间的不同距离（ER-Mt 距离） ）。该模型预测 (i) Mt 和 μd 隔室可以降低振荡幅度，并使 ER 在振荡过程中释放较少；(ii) 随着细胞质浓度 () 的增加，振荡幅度增加（从 0.1 μM 到几个 μM），但频率降低；(iii) 振荡频率随着 ER-Mt 距离的增加而降低。更重要的是，当 ER-Mt 距离大于 65 nm 时，μd 隔室对振荡的影响较小。这些结果表明 Mt、μd 和 都可以影响振荡的幅度和频率，但机制不同。该模型为预测肥大细胞胞浆浓度振荡提供了综合机制，为观察肥大细胞钙振荡提供了理论依据，从而更好地理解肥大细胞钙信号的调控机制。和都可以影响振荡的幅度和频率，但机制不同。该模型为预测肥大细胞胞浆浓度振荡提供了综合机制，为观察肥大细胞钙振荡提供了理论依据，从而更好地理解肥大细胞钙信号的调控机制。和都可以影响振荡的幅度和频率，但机制不同。该模型为预测肥大细胞胞浆浓度振荡提供了综合机制，为观察肥大细胞钙振荡提供了理论依据，从而更好地理解肥大细胞钙信号的调控机制。