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TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor

Prime editors (PEs) are powerful tools that widen the possibilities for sequence modifications during genome editing. Although methods based on the analysis of Cas9 nuclease or nickase activity have been used to predict genome-wide off-target activities of PEs, no tool that directly uses PEs for thi...

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Autores principales: Kwon, Jeonghun, Kim, Minyoung, Bae, Seungmin, Jo, Anna, Kim, Youngho, Lee, Jungjoon K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800413/
https://www.ncbi.nlm.nih.gov/pubmed/36581624
http://dx.doi.org/10.1038/s41467-022-35743-y
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author Kwon, Jeonghun
Kim, Minyoung
Bae, Seungmin
Jo, Anna
Kim, Youngho
Lee, Jungjoon K.
author_facet Kwon, Jeonghun
Kim, Minyoung
Bae, Seungmin
Jo, Anna
Kim, Youngho
Lee, Jungjoon K.
author_sort Kwon, Jeonghun
collection PubMed
description Prime editors (PEs) are powerful tools that widen the possibilities for sequence modifications during genome editing. Although methods based on the analysis of Cas9 nuclease or nickase activity have been used to predict genome-wide off-target activities of PEs, no tool that directly uses PEs for this purpose has been reported yet. In this study, we present a cell-based assay, named TAgmentation of Prime Editor sequencing (TAPE-seq), that provides genome-wide off-target candidates for PEs. TAPE-seq analyses are successfully performed using many different versions of PEs. The TAPE-seq predictions are compared with results from two other off-site prediction methods, Cas9 nuclease-based GUIDE-seq and Cas9 nickase-based Digenome-seq (nDigenome-seq). TAPE-seq shows a lower miss rate, and a higher area under the receiver operating characteristic curve compared to the other methods. TAPE-seq also identified valid off-target sites that were missed by the other methods.
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spelling pubmed-98004132022-12-31 TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor Kwon, Jeonghun Kim, Minyoung Bae, Seungmin Jo, Anna Kim, Youngho Lee, Jungjoon K. Nat Commun Article Prime editors (PEs) are powerful tools that widen the possibilities for sequence modifications during genome editing. Although methods based on the analysis of Cas9 nuclease or nickase activity have been used to predict genome-wide off-target activities of PEs, no tool that directly uses PEs for this purpose has been reported yet. In this study, we present a cell-based assay, named TAgmentation of Prime Editor sequencing (TAPE-seq), that provides genome-wide off-target candidates for PEs. TAPE-seq analyses are successfully performed using many different versions of PEs. The TAPE-seq predictions are compared with results from two other off-site prediction methods, Cas9 nuclease-based GUIDE-seq and Cas9 nickase-based Digenome-seq (nDigenome-seq). TAPE-seq shows a lower miss rate, and a higher area under the receiver operating characteristic curve compared to the other methods. TAPE-seq also identified valid off-target sites that were missed by the other methods. Nature Publishing Group UK 2022-12-29 /pmc/articles/PMC9800413/ /pubmed/36581624 http://dx.doi.org/10.1038/s41467-022-35743-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Kwon, Jeonghun
Kim, Minyoung
Bae, Seungmin
Jo, Anna
Kim, Youngho
Lee, Jungjoon K.
TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor
title TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor
title_full TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor
title_fullStr TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor
title_full_unstemmed TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor
title_short TAPE-seq is a cell-based method for predicting genome-wide off-target effects of prime editor
title_sort tape-seq is a cell-based method for predicting genome-wide off-target effects of prime editor
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9800413/
https://www.ncbi.nlm.nih.gov/pubmed/36581624
http://dx.doi.org/10.1038/s41467-022-35743-y
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