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Global-scale CRISPR gene editor specificity profiling by ONE-seq identifies population-specific, variant off-target effects

Karl Petri, Daniel Y. Kim, Kanae E. Sasaki, Matthew C. Canver, Xiao Wang, Hina Shah, Hyunho Lee, Joy E. Horng, View ORCID ProfileKendell Clement, Sowmya Iyer, Sara P. Garcia, Jimmy A. Guo, Gregory A. Newby, Luca Pinello, David R. Liu, View ORCID ProfileMartin J. Aryee, View ORCID ProfileKiran Musunuru, View ORCID ProfileJ. Keith Joung, View ORCID ProfileVikram Pattanayak
doi: https://doi.org/10.1101/2021.04.05.438458
Karl Petri
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
4Department of Pathology, Harvard Medical School, Boston, MA, USA.
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Daniel Y. Kim
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
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Kanae E. Sasaki
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
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Matthew C. Canver
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
4Department of Pathology, Harvard Medical School, Boston, MA, USA.
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Xiao Wang
8Division of Cardiology and Cardiovascular Institute, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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Hina Shah
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
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Hyunho Lee
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
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Joy E. Horng
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
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Kendell Clement
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
4Department of Pathology, Harvard Medical School, Boston, MA, USA.
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  • ORCID record for Kendell Clement
Sowmya Iyer
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
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Sara P. Garcia
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
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Jimmy A. Guo
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
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Gregory A. Newby
5Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
6Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
7Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA.
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Luca Pinello
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
4Department of Pathology, Harvard Medical School, Boston, MA, USA.
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David R. Liu
5Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT, Cambridge, MA, USA.
6Department of Chemistry and Chemical Biology, Harvard University, Cambridge, MA, USA.
7Howard Hughes Medical Institute, Harvard University, Cambridge, MA, USA.
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Martin J. Aryee
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
4Department of Pathology, Harvard Medical School, Boston, MA, USA.
9Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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Kiran Musunuru
8Division of Cardiology and Cardiovascular Institute, Department of Medicine, Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA, USA.
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J. Keith Joung
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
4Department of Pathology, Harvard Medical School, Boston, MA, USA.
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  • For correspondence: jjoung@mgh.harvard.edu vpattanayak@mgh.harvard.edu
Vikram Pattanayak
1Molecular Pathology Unit, Massachusetts General Hospital, Charlestown, MA, USA.
2Center for Cancer Research, Massachusetts General Hospital, Charlestown, MA, USA.
3Center for Computational and Integrative Biology, Massachusetts General Hospital, Charlestown, MA, USA.
4Department of Pathology, Harvard Medical School, Boston, MA, USA.
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  • ORCID record for Vikram Pattanayak
  • For correspondence: jjoung@mgh.harvard.edu vpattanayak@mgh.harvard.edu
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Abstract

Defining off-target profiles of gene-editing nucleases and CRISPR base editors remains an important challenge for use of these technologies, therapeutic or otherwise. Existing methods can identify off-target sites induced by these gene editors on an individual genome but are not designed to account for the broad diversity of genomic sequence variation that exists within populations of humans or other organisms. Here we describe OligoNucleotide Enrichment and sequencing (ONE-seq), a novel in vitro method that leverages customizable, high-throughput DNA synthesis technology instead of purified genomic DNA (gDNA) from individual genomes to profile gene editor off-target sites. We show that ONE-seq matches or exceeds the sensitivity of existing single-genome methods for identifying bona fide CRISPR-Cas9 off-target sites in cultured human cells and in vivo in a liver-humanized mouse model. In addition, ONE-seq outperforms existing best-in-class single-genome methods for defining off-target sites of CRISPR-Cas12a nucleases, cytosine base editors (CBEs), and adenine base editors (ABEs), unveiling previously undescribed bona fide off-target sites for all these editors in human cells. Most importantly, we leveraged ONE-seq to generate the first experimentally-derived population-scale off-target profiles for Cas9 nucleases that define the impacts of sequence variants from >2,500 individual human genome sequences in the 1000 Genomes Project database. Notably, some of the variants we identified that lead to increased mutation frequencies at off-target sites are enriched in specific human populations. We validated that novel population-specific, variant-sensitive off-target sites nominated by ONE-seq in vitro can show increased frequencies of mutations in human lymphoblastoid cells (LCLs) harboring these sequence variants. Collectively, our results demonstrate that ONE-seq is a highly sensitive off-target nomination method that can uniquely be used to identify population subgroup-linked differences in off-target profiles of gene editors. ONE-seq provides an important new pathway by which to assess the impacts of global human genetic sequence diversity on the specificities of gene editors, thereby enabling a broader and more all-inclusive approach for profiling off-target effects of these transformative therapeutic technologies.

Competing Interest Statement

J.K.J. has financial interests in Beam Therapeutics, Chroma Medicine (f/k/a YKY, Inc.), Editas Medicine, Excelsior Genomics, Pairwise Plants, Poseida Therapeutics, SeQure Dx, Inc., Transposagen Biopharmaceuticals, and Verve Therapeutics (f/k/a Endcadia). L.P. has financial interests in Edilytics, Inc., Excelsior Genomics, and SeQure Dx, Inc. M.J.A. and V.P. have financial interests in Excelsior Genomics and SeQure Dx, Inc.. K.P. has a financial interest in SeQure Dx, Inc.. K.M. is a co-founder and advisor of Verve Therapeutics and an advisor of Variant Bio. D.R.L. has financial interests in Beam Therapeutics, Prime Medicine, and Pairwise Plants, companies that use genome editing, in addition to Exo Therapeutics and Chroma Medicine. D.Y.K. and K.P. are paid consultants at Verve Therapeutics. S.I. and S.P.G. are currently employees of Verve Therapeutics. K.C. is an employee, shareholder, and officer of Edilytics, Inc. K.P., K.S., J.K.J., and V.P. are co-inventors on patent applications covering aspects of the ONE-seq assay and its various applications. M.J.A.'s, K.P.'s, D.Y.K.'s, and J.K.J.'s interests were reviewed and are managed by Massachusetts General Hospital and Partners HealthCare in accordance with their conflict-of-interest policies.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
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Global-scale CRISPR gene editor specificity profiling by ONE-seq identifies population-specific, variant off-target effects
Karl Petri, Daniel Y. Kim, Kanae E. Sasaki, Matthew C. Canver, Xiao Wang, Hina Shah, Hyunho Lee, Joy E. Horng, Kendell Clement, Sowmya Iyer, Sara P. Garcia, Jimmy A. Guo, Gregory A. Newby, Luca Pinello, David R. Liu, Martin J. Aryee, Kiran Musunuru, J. Keith Joung, Vikram Pattanayak
bioRxiv 2021.04.05.438458; doi: https://doi.org/10.1101/2021.04.05.438458
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Global-scale CRISPR gene editor specificity profiling by ONE-seq identifies population-specific, variant off-target effects
Karl Petri, Daniel Y. Kim, Kanae E. Sasaki, Matthew C. Canver, Xiao Wang, Hina Shah, Hyunho Lee, Joy E. Horng, Kendell Clement, Sowmya Iyer, Sara P. Garcia, Jimmy A. Guo, Gregory A. Newby, Luca Pinello, David R. Liu, Martin J. Aryee, Kiran Musunuru, J. Keith Joung, Vikram Pattanayak
bioRxiv 2021.04.05.438458; doi: https://doi.org/10.1101/2021.04.05.438458

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