High-speed fluorescence image-enabled cell sorting
收藏NIAID Data Ecosystem2026-03-13 收录
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https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE167944
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资源简介:
Fast and selective isolation of single cells with unique spatial and morphological traits remains a technical challenge. We address this by establishing high speed image-enabled cell sorting (ICS), which records multicolor fluorescence images, and sorts cells based on measurements from image data at speeds up to 15,000 events per second. We combine ICS with CRISPR-pooled screens to identify novel regulators of the NF-κB pathway, enabling the completion of genome-wide image- based screens in around nine hours of run-time. Pooled CRISPR-Cas9 screens for regulators of NFkB signaling with a novel sorting technology using a genome-wide and a focused gRNA library in HeLa cells.
创建时间:
2022-01-22



