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一种多重表位条码化策略,可实现动态细胞表型筛选。

A multiplexed epitope barcoding strategy that enables dynamic cellular phenotypic screens.

机构信息

Department of Chemical and Systems Biology, Stanford University, Stanford, CA 94305, USA.

Department of Bioengineering, Stanford University, Stanford, CA 94305, USA.

出版信息

Cell Syst. 2022 May 18;13(5):376-387.e8. doi: 10.1016/j.cels.2022.02.006. Epub 2022 Mar 21.

Abstract

Pooled genetic libraries have improved screening throughput for mapping genotypes to phenotypes. However, selectable phenotypes are limited, restricting screening to outcomes with a low spatiotemporal resolution. Here, we integrated live-cell imaging with pooled library-based screening. To enable intracellular multiplexing, we developed a method called EPICode that uses a combination of short epitopes, which can also appear in various subcellular locations. EPICode thus enables the use of live-cell microscopy to characterize a phenotype of interest over time, including after sequential stimulatory/inhibitory manipulations, and directly connects behavior to the cellular genotype. To test EPICode's capacity against an important milestone-engineering and optimizing dynamic, live-cell reporters-we developed a live-cell PKA kinase translocation reporter with improved sensitivity and specificity. The use of epitopes as fluorescent barcodes introduces a scalable strategy for high-throughput screening broadly applicable to protein engineering and drug discovery settings where image-based phenotyping is desired.

摘要

基因文库的组合提高了将基因型映射到表型的筛选通量。然而,可选择的表型是有限的,这限制了筛选只能应用于时空分辨率较低的结果。在这里,我们将活细胞成像与基于文库的筛选相结合。为了实现细胞内的多重检测,我们开发了一种称为 EPICode 的方法,该方法使用短表位的组合,这些表位也可以出现在各种亚细胞位置。因此,EPICode 可以使用活细胞显微镜来随时间描述感兴趣的表型,包括在连续的刺激/抑制操作之后,并且可以直接将行为与细胞基因型联系起来。为了测试 EPICode 在一个重要里程碑上的能力——工程和优化动态的、活细胞报告基因——我们开发了一种具有更高灵敏度和特异性的活细胞 PKA 激酶易位报告基因。将表位用作荧光条形码引入了一种可扩展的高通量筛选策略,广泛适用于需要基于图像的表型分析的蛋白质工程和药物发现环境。

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