인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
초록·키워드
Site-specific nucleases are crucial for genome engineering applications in medicine and agriculture. The ideal site-specific nucleases are easily reprogrammable, highly specific in target site recognition, and robust in nuclease activities. Prokaryotic Argonaute (pAgo) proteins have received much attention as biotechnological tools due to their ability to recognize specific target sequences without a protospacer adjacent motif, but their lack of intrinsic dsDNA unwinding activity limits their utility in key applications such as gene editing. Recently, we developed a pAgo-based system for site-specific DNA cleavage at physiological temperatures independently of the DNA form, using peptide nucleic acids (PNAs) to facilitate unwinding dsDNA targets. Here, we fused catalytically dead pAgos with the nuclease domain of the restriction endonuclease FokI and named this modified platform PNA-assisted FokI-(d)pAgo (PNFP) editors. In the PNFP system, catalytically inactive pAgo recognizes and binds to a specific target DNA sequence based on a programmable guide DNA sequence; upon binding to the target site, the FokI domains dimerize and introduce precise dsDNA breaks. We explored key parameters of the PNFP system including the requirements of PNA and guide DNAs, the specificity of PNA and guide DNA on target cleavage, the optimal concentration of different components, reaction time for invasion and cleavage, and ideal temperature and reaction buffer, to ensure efficient DNA editing in vitro. The results demonstrated robust site-specific target cleavage by PNFP system at optimal conditions in vitro. We envision that the PNFP system will provide higher editing efficiency and specificity with fewer off-target effects in vivo.
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
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