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Quantitative single cell and single molecule proteomics for clinical studies

机译:用于临床研究的定量单细胞和单分子蛋白质组学

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A central aspect of cellular systems biology is the study of cell-to-cell variability driven by network control of molecular noise. Proteins are produced in stochastic bursts and, although time averaging smoothes their accumulated levels, variation in their copy number is substantial in members of environmental sensing and signalling networks. We have developed a label-free, microfluidic antibody capture chip platform called the MAC chip, to quantify precisely the copy numbers of many proteins from a single cell in a multiplexed single assay format. We intend to investigate protein noise in circulating tumour cells (CTCs) isolated from biopsies of cancer patients through the identification of biomolecular signatures, such as p53 tumour suppressor protein, which correlate with biological properties and clinical outcomes during treatment.
机译:细胞系统生物学的一个主要方面是对分子噪声网络控制驱动的细胞间变异性的研究。蛋白质以随机爆发的方式产生,尽管时间平均可以平滑其累积水平,但在环境传感和信号网络的成员中,其拷贝数的变化却很大。我们已经开发了一种称为MAC芯片的无标签,微流体抗体捕获芯片平台,用于以多重单次测定形式精确定量单个细胞中许多蛋白质的拷贝数。我们打算通过鉴定生物分子标志物(例如p53抑癌蛋白)来研究从癌症患者活检组织中分离出的循环肿瘤细胞(CTC)中的蛋白质噪声,这些信号与治疗期间的生物学特性和临床结果相关。

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