Author
Listed:
- Jonathan Y. Hsu
(Department of Biological Engineering, Massachusetts Institute of Technology
Molecular Pathology Unit, Massachusetts General Hospital
Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital)
- Julian Grünewald
(Molecular Pathology Unit, Massachusetts General Hospital
Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital
Department of Pathology, Harvard Medical School)
- Regan Szalay
(Molecular Pathology Unit, Massachusetts General Hospital
Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital)
- Justine Shih
(Molecular Pathology Unit, Massachusetts General Hospital
Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital)
- Andrew V. Anzalone
(Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT
Harvard University
Harvard University)
- Kin Chung Lam
(Molecular Pathology Unit, Massachusetts General Hospital
Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital
Department of Pathology, Harvard Medical School)
- Max W. Shen
(Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT
Harvard University
Harvard University
Computational and Systems Biology Program, Massachusetts Institute of Technology)
- Karl Petri
(Molecular Pathology Unit, Massachusetts General Hospital
Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital
Department of Pathology, Harvard Medical School)
- David R. Liu
(Merkin Institute of Transformative Technologies in Healthcare, Broad Institute of Harvard and MIT
Harvard University
Harvard University)
- J. Keith Joung
(Molecular Pathology Unit, Massachusetts General Hospital
Center for Cancer Research and Center for Computational and Integrative Biology, Massachusetts General Hospital
Department of Pathology, Harvard Medical School)
- Luca Pinello
(Molecular Pathology Unit, Massachusetts General Hospital
Department of Pathology, Harvard Medical School
Broad Institute of Harvard and MIT)
Abstract
Prime editing (PE) is a versatile genome editing technology, but design of the required guide RNAs is more complex than for standard CRISPR-based nucleases or base editors. Here we describe PrimeDesign, a user-friendly, end-to-end web application and command-line tool for the design of PE experiments. PrimeDesign can be used for single and combination editing applications, as well as genome-wide and saturation mutagenesis screens. Using PrimeDesign, we construct PrimeVar, a comprehensive and searchable database that includes candidate prime editing guide RNA (pegRNA) and nicking sgRNA (ngRNA) combinations for installing or correcting >68,500 pathogenic human genetic variants from the ClinVar database. Finally, we use PrimeDesign to design pegRNAs/ngRNAs to install a variety of human pathogenic variants in human cells.
Suggested Citation
Jonathan Y. Hsu & Julian Grünewald & Regan Szalay & Justine Shih & Andrew V. Anzalone & Kin Chung Lam & Max W. Shen & Karl Petri & David R. Liu & J. Keith Joung & Luca Pinello, 2021.
"PrimeDesign software for rapid and simplified design of prime editing guide RNAs,"
Nature Communications, Nature, vol. 12(1), pages 1-6, December.
Handle:
RePEc:nat:natcom:v:12:y:2021:i:1:d:10.1038_s41467-021-21337-7
DOI: 10.1038/s41467-021-21337-7
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Citations
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Cited by:
- Sébastien Levesque & Diana Mayorga & Jean-Philippe Fiset & Claudia Goupil & Alexis Duringer & Andréanne Loiselle & Eva Bouchard & Daniel Agudelo & Yannick Doyon, 2022.
"Marker-free co-selection for successive rounds of prime editing in human cells,"
Nature Communications, Nature, vol. 13(1), pages 1-14, December.
- J. Ferreira da Silva & G. P. Oliveira & E. A. Arasa-Verge & C. Kagiou & A. Moretton & G. Timelthaler & J. Jiricny & J. I. Loizou, 2022.
"Prime editing efficiency and fidelity are enhanced in the absence of mismatch repair,"
Nature Communications, Nature, vol. 13(1), pages 1-11, December.
- Xiaosa Li & Lina Zhou & Bao-Qing Gao & Guangye Li & Xiao Wang & Ying Wang & Jia Wei & Wenyan Han & Zixian Wang & Jifang Li & Runze Gao & Junjie Zhu & Wenchao Xu & Jing Wu & Bei Yang & Xiaodong Sun & L, 2022.
"Highly efficient prime editing by introducing same-sense mutations in pegRNA or stabilizing its structure,"
Nature Communications, Nature, vol. 13(1), pages 1-9, December.
- Qichen Yuan & Xue Gao, 2022.
"Multiplex base- and prime-editing with drive-and-process CRISPR arrays,"
Nature Communications, Nature, vol. 13(1), pages 1-13, December.
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