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Cytometry of Reaction Rate Constant: Measuring Reaction Rate Constant in Individual Cells To Facilitate Robust and Accurate Analysis of Cell-Population Heterogeneity

机译:反应速率的细胞仪常数:测量单个细胞中的反应速率常数,以促进细胞群非均质性的鲁棒和准确分析

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Robust and accurate analysis of cell-population heterogeneity is challenging but required in many areas of biology and medicine. In particular, it is pivotal to the development of reliable cancer biomarkers. Here, we prove that cytometry of reaction rate constant (CRRC) can facilitate such analysis when the kinetic mechanism of a reaction associated with the heterogeneity is known. In CRRC, the cells are loaded with a reaction substrate, and its conversion into a product is followed by time-lapse fluorescence microscopy at the single-cell level. A reaction rate constant is determined for every cell, and a kinetic histogram "number of cells versus the rate constant" is used to determine quantitative parameters of reaction-based cell-population heterogeneity. Such parameters include, for example, the number and sizes of subpopulations. In this work, we applied CRRC to a reaction of substrate extrusion from cells by ATP-binding cassette (ABC) transporters. This reaction is viewed as a potential basis for predictive biomarkers of chemoresistance in cancer. CRRC proved to be robust (insensitive to variations in experimental settings) and accurate for finding quantitative parameters of cell population heterogeneity. In contrast, a typical nonkinetic analysis, performed on the same data sets, proved to be both nonrobust and inaccurate. Our results suggest that CRRC can potentially facilitate the development of reliable cancer biomarkers on the basis of quantitative parameters of cell-population heterogeneity. A plausible implementation scenario of CRRC-based development, validation, and clinical use of a predictor of ovarian cancer chemoresistance to its frontline therapy is presented.
机译:对细胞 - 群体异质性的鲁棒和准确分析是挑战,但在许多生物学和医学领域需要。特别是,它是可靠的癌症生物标志物的发展枢转。这里,我们证明了当已知与异质性相关的反应的动力学机制时,可以促进反应速率常数(CRRC)的细胞测定方法。在CRRC中,将细胞用反应衬底加载,并将其转化为产物,然后在单细胞水平下进行延时荧光显微镜。针对每个细胞测定反应速率常数,并且动力学直方图“细胞数与速率常数”用于确定基于反应的细胞群异质性的定量参数。例如,这些参数包括例如亚步骤的数量和大小。在这项工作中,我们通过ATP结合盒(ABC)转运蛋白将CRRC应用于基质挤出物的反应。该反应被视为癌症中化学抑制性预测生物标志物的潜在基础。 CRRC被证明是鲁棒(对实验设置的不敏感),准确地寻找细胞群异质性的定量参数。相反,在相同的数据集上执行的典型的非线性分析被证明是非粗糙和不准确的。我们的研究结果表明,CRRC可能促进基于细胞群非均质性的定量参数的可靠性癌症生物标志物的开发。介绍了CRRC的开发,验证和临床应用的可合理的实现情景,对其前线疗法的预测性的预测性。

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