清脆的
转录组
生物
计算生物学
基因
遗传学
计算机科学
基因表达
作者
Paul Datlinger,André F. Rendeiro,Christian Schmidl,Thomas Krausgruber,Peter Traxler,Johanna Klughammer,Linda C. Schuster,Amelie Kuchler,Donát Alpár,Christoph Bock
出处
期刊:Nature Methods
[Nature Portfolio]
日期:2017-01-18
卷期号:14 (3): 297-301
被引量:855
摘要
CROP-seq enables pooled CRISPR screens for complex transcriptome signatures by making gRNA expression detectable in single-cell RNA sequencing. CRISPR-based genetic screens are accelerating biological discovery, but current methods have inherent limitations. Widely used pooled screens are restricted to simple readouts including cell proliferation and sortable marker proteins. Arrayed screens allow for comprehensive molecular readouts such as transcriptome profiling, but at much lower throughput. Here we combine pooled CRISPR screening with single-cell RNA sequencing into a broadly applicable workflow, directly linking guide RNA expression to transcriptome responses in thousands of individual cells. Our method for CRISPR droplet sequencing (CROP-seq) enables pooled CRISPR screens with single-cell transcriptome resolution, which will facilitate high-throughput functional dissection of complex regulatory mechanisms and heterogeneous cell populations.
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