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Genome-wide prediction and profiling of Off-target cleavage by CRISPR=Cas9

Other Titles
 유전체 내에서 CRISPR=Cas9 에 의한 비특이적 절단을 찾아내기 위한 새로운 방법의 개발 
Authors
 정수빈 
Degree
박사
Issue Date
2018
Description
의과학/박사
Abstract
Although CRISPR RNA-guided nucleases (RGENs) are widely used in genome-editing studies, their off-target cleavage activity on a genome-wide scale has not been yet distinguished. Here, we developed a method to detect unintended DNA double-stranded breaks (DSBs) introduced by CRISPR-Cas9, and by extension, predict genome-wide off-target sites of specific guide RNA sequences through a deep learning-based method. This prediction tool implemented experimental in vivo data and thus, should be more accurate than previously reported computational prediction methods. Our effort represents the most exhaustive genome-wide survey of Cas9 off-target effects in evaluating its safety before clinical applications.
Files in This Item:
T014876.pdf Download
Appears in Collections:
1. College of Medicine (의과대학) > Others (기타) > 3. Dissertation
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/166400
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