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Orthologous CRISPR–Cas9 enzymes for combinatorial genetic screens
Open accessAbstract
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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“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.”
From Multiplexed detection of proteins, transcriptomes, clonotypes and CRISPR perturbations in single cells (2019) · cites this paper as [19]
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Metadata
- 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
- ORCID
- Venue
- Nature Biotechnology
- Published
- 2017-12-18
- Volume
- 36
- Issue
- 2
- Pages
- 179-189
- ISSN
- 0733-222X (ISSN-L)
- 1087-0156
- 1546-1696
- PMC
- PMC5800952
- 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
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- 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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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