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首页> 外文期刊>Lab on a chip >High-throughput single-cell quantification using simple microwell-based cell docking and programmable time-course live-cell imaging
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High-throughput single-cell quantification using simple microwell-based cell docking and programmable time-course live-cell imaging

机译:高通量单细胞定量,使用基于微孔的简单细胞对接和可编程的时程活细胞成像

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摘要

Extracting single-cell information during cellular responses to external signals in a high-throughput manner is an essential step for quantitative single-cell analyses. Here, we have developed a simple yet robust microfluidic platform for measuring time-course single-cell response on a large scale. Our method combines a simple microwell-based cell docking process inside a patterned microfluidic channel, with programmable time-course live-cell imaging and software-aided fluorescent image processing. The budding yeast, Saccharomyces cerevisiae (S. cerevisiae), cells were individually captured in microwells by multiple sweeping processes, in which a cell-containing solution plug was actively migrating back and forth several times by a finger-pressure induced receding meniscus. To optimize cell docking efficiency while minimizing unnecessary flooding in subsequent steps, circular microwells of various channel dimensions (4-24 μm diameter, 8 μm depth) along with different densities of cell solution (1.5-6.0 x 10~9 cells per mL) were tested. It was found that the microwells of 8 μm diameter and 8 urn depth allowed for an optimal docking efficiency (>90%) without notable flooding issues. For quantitative single-cell analysis, time-course (time interval 15 minute, for 2 hours) fluorescent images of the cells stimulated by mating pheromone were captured using computerized fluorescence microscope and the captured images were processed using a commercially available image processing software. Here, real-time cellular responses of the mating MAPK pathway were monitored at various concentrations (1 nM-100 μM) of mating pheromone at single-cell resolution, revealing that individual cells in the population showed non-uniform signaling response kinetics.
机译:以高通量方式在细胞对外部信号的响应过程中提取单细胞信息是定量单细胞分析的重要步骤。在这里,我们开发了一个简单而强大的微流控平台,用于大规模测量时程单细胞响应。我们的方法将带图案的微流体通道内基于微孔的简单细胞对接过程与可编程的时程活细胞成像和软件辅助荧光图像处理相结合。萌芽的酿酒酵母(S. cerevisiae)细胞通过多次清扫过程分别捕获在微孔中,其中含细胞的溶液塞通过手指压力诱导的弯月面主动来回迁移多次。为了优化细胞对接效率,同时最大程度地减少后续步骤中不必要的淹没,我们制作了具有各种通道尺寸(直径4-24μm,深度8μm)的圆形微孔以及不同密度的细胞溶液(每毫升1.5-6.0 x 10〜9个细胞)经过测试。发现直径为8μm,深度为8 ur的微孔可实现最佳的对接效率(> 90%),而不会出现明显的溢流问题。对于定量单细胞分析,使用计算机荧光显微镜捕获由交配信息素刺激的细胞的时程(时间间隔15分钟,持续2小时)的荧光图像,并使用市售图像处理软件处理捕获的图像。在这里,以单细胞分辨率在交配信息素的各种浓度(1 nM-100μM)下监测交配MAPK途径的实时细胞反应,揭示了群体中的单个细胞显示出不一致的信号响应动力学。

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