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A high-density immunoblotting methodology for quantification of total protein levels and phosphorylation modifications

机译:一种高密度免疫印迹方法,用于定量总蛋白水平和磷酸化修饰

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摘要

The components of many signaling pathways have been identified and there is now a need to conduct quantitative data-rich temporal experiments for systems biology and modeling approaches to better understand pathway dynamics and regulation. Here we present a modified Western blotting method that allows the rapid and reproducible quantification and analysis of hundreds of data points per day on proteins and their phosphorylation state at individual sites. The approach is of particular use where samples show a high degree of sample-to-sample variability such as primary cells from multiple donors. We present a case study on the analysis of >800 phosphorylation data points from three phosphorylation sites in three signaling proteins over multiple time points from platelets isolated from ten donors, demonstrating the technique's potential to determine kinetic and regulatory information from limited cell numbers and to investigate signaling variation within a population. We envisage the approach being of use in the analysis of many cellular processes such as signaling pathway dynamics to identify regulatory feedback loops and the investigation of potential drug/inhibitor responses, using primary cells and tissues, to generate information about how a cell's physiological state changes over time.
机译:已经确定了许多信号通路的组成部分,现在需要对系统生物学和建模方法进行数量丰富的定量时间实验,以更好地了解通路动态和调控。在这里,我们提出了一种改进的Western印迹方法,该方法允许每天对蛋白质上的数百个数据点及其各个位置的磷酸化状态进行快速,可重复的定量和分析。该方法在样品显示高度的样品间差异(例如来自多个供体的原代细胞)时特别有用。我们提供了一个案例研究,分析了从十个供体中分离的血小板在多个时间点上三个信号蛋白中三个磷酸化位点中的三个磷酸化位点,证明了该技术从有限的细胞数确定动力学和调控信息以及研究该技术的潜力指示种群内的变异。我们设想该方法可用于分析许多细胞过程,例如使用原代细胞和组织来分析信号通路动态以识别调节反馈回路以及研究潜在的药物/抑制剂反应,以产生有关细胞生理状态如何变化的信息随着时间的推移。

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