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Temporal protein expression pattern in intracellular signalling cascade during T-cell activation: A computational study

机译:T细胞活化过程中细胞内信号传导级联中的时间蛋白表达模式:一项计算研究。

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Various T-cell co-receptor molecules and calcium channel CRAC play a pivotal role in the maintenance of cella€?s functional responses by regulating the production of effector molecules (mostly cytokines) that aids in immune clearance and also maintaining the cell in a functionally active state. Any defect in these co-receptor signalling pathways may lead to an altered expression pattern of the effector molecules. To study the propagation of such defects with time and their effect on the intracellular protein expression patterns, a comprehensive and largest pathway map of T-cell activation network is reconstructed manually. The entire pathway reactions are then translated using logical equations and simulated using the published time series microarray expression data as inputs. After validating the model, the effect of in silico knock down of co-receptor molecules on the expression patterns of their downstream proteins is studied and simultaneously the changes in the phenotypic behaviours of the T-cell population are predicted, which shows significant variations among the proteins expression and the signalling routes through which the response is propagated in the cytoplasm. This integrative computational approach serves as a valuable technique to study the changes in protein expression patterns and helps to predict variations in the cellular behaviour.
机译:各种T细胞共受体分子和钙通道CRAC通过调节效应分子(主要是细胞因子)的产生来维持细胞的功能性反应,从而发挥关键作用,这些分子有助于免疫清除并还可以维持细胞的功能活动状态。这些共受体信号传导途径中的任何缺陷都可能导致效应分子表达模式的改变。为了研究此类缺陷随时间的传播及其对胞内蛋白表达模式的影响,手动重建了一个完整且最大的T细胞活化网络路径图。然后,使用逻辑方程式翻译整个路径反应,并使用已发布的时间序列微阵列表达数据作为输入进行模拟。验证模型后,研究了共受体分子在计算机上的敲低对下游蛋白表达模式的影响,同时预测了T细胞群体表型行为的变化,显示了T细胞群体之间的显着差异。蛋白表达和信号传导途径,反应通过这些途径在细胞质中传播。这种整合的计算方法是研究蛋白质表达模式变化的有价值的技术,并有助于预测细胞行为的变化。

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