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Extru-seq: a method for predicting genome-wide Cas9 off-target sites with advantages of both cell-based and in vitro approaches

We present a novel genome-wide off-target prediction method named Extru-seq and compare it with cell-based (GUIDE-seq), in vitro (Digenome-seq), and in silico methods using promiscuous guide RNAs with large numbers of valid off-target sites. Extru-seq demonstrates a high validation rate and retentio...

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Detalles Bibliográficos
Autores principales: Kwon, Jeonghun, Kim, Minyoung, Hwang, Woochang, Jo, Anna, Hwang, Gue-Ho, Jung, Minhee, Kim, Un Gi, Cui, Gang, Kim, Heonseok, Eom, Joon-Ho, Hur, Junho K., Lee, Junwon, Kim, Youngho, Kim, Jin-soo, Bae, Sangsu, Lee, Jungjoon K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9832775/
https://www.ncbi.nlm.nih.gov/pubmed/36627653
http://dx.doi.org/10.1186/s13059-022-02842-4
Descripción
Sumario:We present a novel genome-wide off-target prediction method named Extru-seq and compare it with cell-based (GUIDE-seq), in vitro (Digenome-seq), and in silico methods using promiscuous guide RNAs with large numbers of valid off-target sites. Extru-seq demonstrates a high validation rate and retention of information about the intracellular environment, both beneficial characteristics of cell-based methods. Extru-seq also shows a low miss rate and could easily be performed in clinically relevant cell types with little optimization, which are major positive features of the in vitro methods. In summary, Extru-seq shows beneficial features of cell-based and in vitro methods. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13059-022-02842-4.