Cited by 283CRISPR and Genetic EngineeringRNA Interference and Gene DeliveryVirus-based gene therapy research

Orthologous CRISPR–Cas9 enzymes for combinatorial genetic screens

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Najm, Fadi J, Strand, Christine, Donovan, Katherine F, Hegde, Mudra, Sanson, Kendall R, Vaimberg, Emma W, Sullender, Meagan E, Hartenian, Ella +7 more·2018·Nature Biotechnology

Abstract

Combinatorial genetic screening using CRISPR-Cas9 is a useful approach to uncover redundant genes and to explore complex gene networks. However, current methods suffer from interference between the single-guide RNAs (sgRNAs) and from limited gene targeting activity. To increase the efficiency of combinatorial screening, we employ orthogonal Cas9 enzymes from Staphylococcus aureus and Streptococcus pyogenes. We used machine learning to establish S. aureus Cas9 sgRNA design rules and paired S. aureus Cas9 with S. pyogenes Cas9 to achieve dual targeting in a high fraction of cells. We also developed a lentiviral vector and cloning strategy to generate high-complexity pooled dual-knockout libraries to identify synthetic lethal and buffering gene pairs across multiple cell types, including MAPK pathway genes and apoptotic genes. Our orthologous approach also enabled a screen combining gene knockouts with transcriptional activation, which revealed genetic interactions with TP53. The "Big Papi" (paired aureus and pyogenes for interactions) approach described here will be widely applicable for the study of combinatorial phenotypes.

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  • Direct capture of sgRNA molecules lets ECCITE-seq avoid the barcode-swapping problems reported for Perturb-seq.

    “ECCITE-seq is readily applicable to any sgRNA library with the Cas9 S. pyogenes scaffold sequence and, by allowing direct capture of sgRNA molecules, overcomes documented problems of barcode swapping events observed with Perturb-seq that have the potential to confound single cell perturbation screens17–20.”

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Authors
Najm, F. J., Strand, C., Donovan, K. F., Hegde, M., Sanson, K. R., Vaimberg, E. W., Sullender, M. E., Hartenian, E., Kalani, Z., Fusi, N., Listgarten, J., Younger, S. T., Bernstein, B. E., Root, D. E., & Doench, J. G.
Affiliations
  • Broad Institute (US)
  • Microsoft Research New England (United States) (US)
Corresponding author
Doench, John G
Venue
Nature Biotechnology
Published
2017-12-18
Volume
36
Issue
2
Pages
179-189
ISSN
  • 0733-222X (ISSN-L)
  • 1087-0156
  • 1546-1696
OpenAlex
W2781417302
Cited by
279
References
54
Citations by year
2026: 16 · 2025: 22 · 2024: 26 · 2023: 32 · 2022: 26 · 2021: 45 · 2020: 39 · 2019: 36 · 2018: 37
FWCI
12.51
Type
journal article
Language
en
Open access
Locations
  • Nature Biotechnology (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion, cc-by)
Funders
  • National Cancer Institute (DP1CA216873)
  • National Institute of General Medical Sciences (T32GM007226)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › CRISPR and Genetic Engineering
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Virus-based gene therapy research
Keywords
CRISPR/Cas9, SaCas9, SpCas9, single guide RNA design, dual targeting, synthetic lethality, MAPK signaling, apoptosis, TP53, transcriptional activation, lentiviral vectors
MeSH terms
Machine Learning, RNA, Guide, CRISPR-Cas Systems, Epistasis, Genetic, Genetic Testing, Humans, Staphylococcus aureus, Streptococcus pyogenes, Signal Transduction, Tumor Suppressor Protein p53, Apoptosis, Gene Targeting, Mitogen-Activated Protein Kinase Kinases, Gene Knockout Techniques, CRISPR-Cas Systems

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