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首页> 外文期刊>Faraday discussions >Millisecond single-molecule localization microscopy combined with convolution analysis and automated image segmentation to determine protein concentrations in complexly structured, functional cells, one cell at a time
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Millisecond single-molecule localization microscopy combined with convolution analysis and automated image segmentation to determine protein concentrations in complexly structured, functional cells, one cell at a time

机译:毫秒级单分子定位显微镜与卷积分析和自动图像分割相结合,可确定结构复杂的功能细胞中的蛋白质浓度,一次可检测一个细胞

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We present a single-molecule tool called the CoPro (concentration of proteins) method that uses millisecond imaging with convolution analysis, automated image segmentation and super-resolution localization microscopy to generate robust estimates for protein concentration in different compartments of single living cells, validated using realistic simulations of complex multiple compartment cell types. We demonstrate its utility experimentally on model Escherichia coli bacteria and Saccharomyces cerevisiae budding yeast cells, and use it to address the biological question of how signals are transduced in cells. Cells in all domains of life dynamically sense their environment through signal transduction mechanisms, many involving gene regulation. The glucose sensing mechanism of S. cerevisiae is a model system for studying gene regulatory signal transduction. It uses the multi-copy expression inhibitor of the GAL gene family, Mig1, to repress unwanted genes in the presence of elevated extracellular glucose concentrations. We fluorescently labelled Mig1 molecules with green fluorescent protein (GFP) via chromosomal integration at physiological expression levels in living S. cerevisiae cells, in addition to the RNA polymerase protein Nrd1 with the fluorescent protein reporter mCherry. Using CoPro we make quantitative estimates of Mig1 and Nrd1 protein concentrations in the cytoplasm and nucleus compartments on a cell-by-cell basis under physiological conditions. These estimates indicate a similar to 4-fold shift towards higher values in the concentration of diffusive Mig1 in the nucleus if the external glucose concentration is raised, whereas equivalent levels in the cytoplasm shift to smaller values with a relative change an order of magnitude smaller. This compares with Nrd1 which is not involved directly in glucose sensing, and which is almost exclusively localized in the nucleus under high and low external glucose levels. CoPro facilitates time-resolved quantification of protein concentrations in single functional cells, and enables the distributions of concentrations across a cell population to be measured. This could be useful in investigating several cellular processes that are mediated by proteins, especially where changes in protein concentration in a single cell in response to changes in the extracellular chemical environment are subtle and rapid and may be smaller than the variability across a cell population.
机译:我们提出了一种称为CoPro(蛋白质浓度)方法的单分子工具,该方法使用毫秒成像与卷积分析,自动图像分割和超分辨率定位显微镜来生成单个活细胞不同隔室中蛋白质浓度的可靠估计值,并通过复杂的多隔室细胞类型的真实模拟。我们通过实验证明了其在模型大肠杆菌细菌和酿酒酵母出芽酵母细胞中的效用,并将其用于解决信号如何在细胞中转导的生物学问题。生命各个领域的细胞都通过信号转导机制动态地感知环境,其中许多机制涉及基因调控。酿酒酵母的葡萄糖感测机制是用于研究基因调控信号转导的模型系统。它使用GAL基因家族的多拷贝表达抑制剂Mig1在细胞外葡萄糖浓度升高的情况下抑制不需要的基因。除了具有荧光蛋白报告基因mCherry的RNA聚合酶蛋白Nrd1外,我们还通过在生命酿酒酵母细胞中以生理表达水平通过染色体整合用绿色荧光蛋白(GFP)标记了Mig1分子。使用CoPro,我们可以在生理条件下逐个细胞地定量估计细胞质和细胞核区室中Mig1和Nrd1蛋白的浓度。这些估计表明,如果外部葡萄糖浓度升高,则细胞核中弥漫性Mig1的浓度向更高的值移动大约4倍,而细胞质中的当量水平向相对较小的值移动较小的数量级。与此相比,Nrd1不直接参与葡萄糖感测,而在高和低的外部葡萄糖水平下,Nrd1几乎仅位于细胞核中。 CoPro有助于单功能细胞中蛋白质浓度的时间分辨定量,并能够测量整个细胞群体中浓度的分布。这在研究由蛋白质介导的几种细胞过程中可能是有用的,特别是在响应细胞外化学环境变化的单个细胞中蛋白质浓度变化微妙而迅速的情况下,并且可能小于整个细胞群体的变异性。

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