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首页> 外文期刊>Cellular Signalling >Analysing phosphorylation-based signalling networks by phospho flow cytometry
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Analysing phosphorylation-based signalling networks by phospho flow cytometry

机译:通过磷酸流式细胞仪分析基于磷酸化的信号网络

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摘要

Analysis of signalling events by classical biochemical approaches is limited as the outcome is an averaged readout for protein activation of a single protein within a cell population. This is a clear restriction when addressing signalling events in mixed populations or subpopulations of cells. By combining flow cytometry with a panel of phosphospecific antibodies against several signal molecules simultaneously in a multi-parameter phospho flow cytometry analysis it is possible to obtain a higher level of understanding of the signal transduction dynamics at a single cell level. In addition, analysis of mixed cell populations makes it possible to study cells ex vivo in a state more closely resembling the in vivo situation. The multimeric analysis yields information on combinations of signals turned on and off in specific settings such as disease (signal nodes) that can be used for biomarker analysis and for development of drug screening strategies. Prostaglandin E_2 (PGE_2) is known to signal through four G-protein coupled transmembrane receptors, EP1-4, activating a multitude of potential signalling pathways. The analysis of the PGE_2 signalling network elicited by activation of the four EP receptors in lymphoid cells revealing several signalling nodes is reviewed as an example.
机译:由于结果是细胞群体中单个蛋白质的蛋白质活化的平均读数,因此通过经典的生化方法对信号事件的分析受到限制。当解决混合种群或细胞亚群中的信号传递事件时,这是一个明显的限制。通过在多参数磷酸流式细胞仪分析中同时将流式细胞仪与针对几种信号分子的一组磷酸特异性抗体相结合,可以获得对单个细胞水平上信号转导动力学的更高理解。另外,对混合细胞群的分析使得有可能以更接近体内情况的状态离体研究细胞。多聚体分析产生有关在特定设置(例如疾病(信号节点))中打开和关闭的信号组合的信息,这些信号可用于生物标记分析和药物筛选策略的开发。已知前列腺素E_2(PGE_2)可通过四个G蛋白偶联跨膜受体EP1-4发出信号,从而激活多种潜在的信号通路。以淋巴样细胞中四个EP受体的激活为引发的PGE_2信号网络的分析为例进行了综述。

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