4.8 Article

Combinatorial single-cell CRISPR screens by direct guide RNA capture and targeted sequencing

期刊

NATURE BIOTECHNOLOGY
卷 38, 期 8, 页码 954-+

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NATURE PORTFOLIO
DOI: 10.1038/s41587-020-0470-y

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资金

  1. National Institutes of Health [P50 GM102706, U01 CA168370, R01 DA036858, RM1HG009490]
  2. Defense Advanced Research Projects Agency (DARPA) [HR0011-19-2-0007]
  3. Chan Zuckerberg Initiative
  4. Princeton University
  5. NIH/NINDS Ruth L. Kirschstein National Research Service Award [F31 NS115380]
  6. Damon Runyon Cancer Research Foundation [DRG-(2211-15), DRG-2262-16]
  7. Jane Coffin Childs Memorial Fund for Medical Research
  8. NIH K99/R00 Pathway to Independence Award [GM134154]

向作者/读者索取更多资源

Single-cell CRISPR screens enable the exploration of mammalian gene function and genetic regulatory networks. However, use of this technology has been limited by reliance on indirect indexing of single-guide RNAs (sgRNAs). Here we present direct-capture Perturb-seq, a versatile screening approach in which expressed sgRNAs are sequenced alongside single-cell transcriptomes. Direct-capture Perturb-seq enables detection of multiple distinct sgRNA sequences from individual cells and thus allows pooled single-cell CRISPR screens to be easily paired with combinatorial perturbation libraries that contain dual-guide expression vectors. We demonstrate the utility of this approach for high-throughput investigations of genetic interactions and, leveraging this ability, dissect epistatic interactions between cholesterol biogenesis and DNA repair. Using direct capture Perturb-seq, we also show that targeting individual genes with multiple sgRNAs per cell improves efficacy of CRISPR interference and activation, facilitating the use of compact, highly active CRISPR libraries for single-cell screens. Last, we show that hybridization-based target enrichment permits sensitive, specific sequencing of informative transcripts from single-cell RNA-seq experiments. Single-cell CRISPR screens are readily multiplexed and scaled with an improved version of Perturb-seq.

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