清脆的
计算生物学
生物
Cas9
基因组
瓶颈
引导RNA
基因组编辑
遗传学
基因
计算机科学
嵌入式系统
作者
Esther C. H. Uijttewaal,Joonsun Lee,Annika Charlotte Sell,Naomi Botay,Gintautas Vainorius,Maria Novatchkova,Juliane Christina Baar,Jiaye Yang,Tobias Potzler,S. Leij,Christopher Lowden,Julia Sinner,Anais Elewaut,Milanka Gavrilovic,Anna C. Obenauf,Daniel Schramek,Ulrich Elling
标识
DOI:10.1038/s41587-024-02512-9
摘要
Pooled genetic screening with CRISPR–Cas9 has enabled genome-wide, high-resolution mapping of genes to phenotypes, but assessing the effect of a given genetic perturbation requires evaluation of each single guide RNA (sgRNA) in hundreds of cells to counter stochastic genetic drift and obtain robust results. However, resolution is limited in complex, heterogeneous models, such as organoids or tumors transplanted into mice, because achieving sufficient representation requires impractical scaling. This is due to bottleneck effects and biological heterogeneity of cell populations. Here we introduce CRISPR-StAR, a screening method that uses internal controls generated by activating sgRNAs in only half the progeny of each cell subsequent to re-expansion of the cell clone. Our method overcomes both intrinsic and extrinsic heterogeneity as well as genetic drift in bottlenecks by generating clonal, single-cell-derived intrinsic controls. We use CRISPR-StAR to identify in-vivo-specific genetic dependencies in a genome-wide screen in mouse melanoma. Benchmarking against conventional screening demonstrates the improved data quality provided by this technology. Pooled genetic CRISPR screening is improved in complex models through leveraging internal controls.
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