Nanoparticle vesicle encoding for imaging and tracking cell populations.

Nanoparticle vesicle encoding for imaging and tracking cell populations.
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用于成像和跟踪细胞群的纳米颗粒囊泡编码。

DOI:
10.1038/nmeth.3105
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发表时间:
2014
期刊:
影响因子:
48
通讯作者:
Rees P
Rees P
中科院分区:
生物学1区
文献类型:
--
作者:
Rees P

文献摘要

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为了在细胞谱系和局部环境的背景下理解表型行为,个体细胞的特性必须相对于群体范围的特征进行测量。然而,无法通过高通量显微镜准确识别、跟踪和测量数千个单细胞阻碍了细胞群体的动态研究。我们展示了独特的细胞标记,由不同发射颜色的荧光纳米颗粒的异质随机摄取驱动。通过顺序地将细胞群暴露于不同的颗粒中,我们生成了大量独特的数字代码,这些数字代码与细胞特异性的纳米颗粒装载囊泡数量相对应,并且在给定的荧光通道中可见。当使用三种颜色时,该分析可以自行生成超过17,000个单独的代码,使用典型的荧光显微镜可识别。颜色代码提供了细胞身份的即时可视化,并使我们能够在间隔8小时的图像帧中以78%的成功率跟踪人类细胞。
For phenotypic behavior to be understood in the context of cell lineage and local environment, properties of individual cells must be measured relative to population-wide traits. However, the inability to accurately identify, track and measure thousands of single cells via high-throughput microscopy has impeded dynamic studies of cell populations. We demonstrate unique labeling of cells, driven by the heterogeneous random uptake of fluorescent nanoparticles of different emission colors. By sequentially exposing a cell population to different particles, we generated a large number of unique digital codes, which corresponded to the cell-specific number of nanoparticle-loaded vesicles and were visible within a given fluorescence channel. When three colors are used, the assay can self-generate over 17,000 individual codes identifiable using a typical fluorescence microscope. The color-codes provided immediate visualization of cell identity and allowed us to track human cells with a success rate of 78% across image frames separated by 8 h.