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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
- Kwon, Jeonghun;
- Kim, Minyoung;
- Hwang, Woochang;
- Jo, Anna;
- Hwang, Gue-Ho;
- ... Hur, Junho K.;
- 외 10명
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24초록
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.
키워드
CRISPR; Genome-wide; Off-target; Cell-based; In vitro; UNBIASED DETECTION; WEB TOOL; CRISPR-CAS9; REARRANGEMENTS; INTEGRATION; EFFICIENCY; CLEAVAGE
- 제목
- Extru-seq: a method for predicting genome-wide Cas9 off-target sites with advantages of both cell-based and in vitro approaches
- 저자
- 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.
- 발행일
- 2023-01
- 유형
- Article
- 저널명
- Genome Biology
- 권
- 24
- 호
- 1
- 페이지
- 1 ~ 20