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Accurate precise modeling of cell proliferation kinetics from time-lapse imaging and automated image analysis of agar yeast culture arrays

机译:通过琼脂酵母培养物阵列的延时成像和自动图像分析对细胞增殖动力学进行准确精确的建模

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摘要

BackgroundGenome-wide mutant strain collections have increased demand for high throughput cellular phenotyping (HTCP). For example, investigators use HTCP to investigate interactions between gene deletion mutations and additional chemical or genetic perturbations by assessing differences in cell proliferation among the collection of 5000 S. cerevisiae gene deletion strains. Such studies have thus far been predominantly qualitative, using agar cell arrays to subjectively score growth differences. Quantitative systems level analysis of gene interactions would be enabled by more precise HTCP methods, such as kinetic analysis of cell proliferation in liquid culture by optical density. However, requirements for processing liquid cultures make them relatively cumbersome and low throughput compared to agar. To improve HTCP performance and advance capabilities for quantifying interactions, YeastXtract software was developed for automated analysis of cell array images.
机译:背景技术全基因组突变菌株的收集对高通量细胞表型(HTCP)的需求增加。例如,研究人员使用HTCP通过评估5000种酿酒酵母基因缺失菌株之间细胞增殖的差异来研究基因缺失突变与其他化学或遗传干扰之间的相互作用。迄今为止,此类研究主要是定性的,使用琼脂细胞阵列主观地评估生长差异。基因相互作用的定量系统水平分析将通过更精确的HTCP方法来实现,例如通过光密度对液体培养物中细胞增殖进行动力学分析。但是,与琼脂相比,处理液体培养物的要求使其相对笨重且产量低。为了提高HTCP性能并提高量化相互作用的能力,YeastXtract软件被开发用于细胞阵列图像的自动分析。

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