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Clus-DoC: a combined cluster detection and colocalization analysis for single-molecule localization microscopy data

机译:Clus-DoC:结合的簇检测和共定位分析,用于单分子定位显微镜数据

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摘要

Advances in fluorescence microscopy are providing increasing evidence that the spatial organization of proteins in cell membranes may facilitate signal initiation and integration for appropriate cellular responses. Our understanding of how changes in spatial organization are linked to function has been hampered by the inability to directly measure signaling activity or protein association at the level of individual proteins in intact cells. Here we solve this measurement challenge by developing Clus-DoC, an analysis strategy that quantifies both the spatial distribution of a protein and its colocalization status. We apply this approach to the triggering of the T-cell receptor during T-cell activation, as well as to the functionality of focal adhesions in fibroblasts, thereby demonstrating an experimental and analytical work-flow that can be used to quantify signaling activity and protein colocalization at the level of individual proteins.
机译:荧光显微镜技术的进步提供了越来越多的证据,表明细胞膜中蛋白质的空间组织可以促进信号的启动和整合,从而实现适当的细胞反应。我们无法直接测量完整细胞中单个蛋白质水平的信号传导活性或蛋白质缔合,从而阻碍了我们对空间组织变化与功能的联系的理解。在这里,我们通过开发Clus-DoC解决了这一测量难题,Clus-DoC是一种量化蛋白质的空间分布及其共定位状态的分析策略。我们将这种方法应用于T细胞活化过程中T细胞受体的触发以及成纤维细胞中黏着斑的功能,从而展示了可用于量化信号活性和蛋白质的实验和分析工作流程在单个蛋白质水平上的共定位。

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