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典型文献
Sequence motifs and prediction model of GBE editing outcomes based on target library analysis and machine learning
文献摘要:
Base editor techniques were developed for precise base conver-sion without requiring double-stranded DNA breaks(DSBs)or an editing template(Komor et al.,2016;Nishida et al.,2016).Currently,base editors that can perform cytosine(C)to thymine(T)(cytosine base editors,CBEs),adenine(A)to guanine(G)(adenine base edi-tors,ABEs)(Gaudelli et al.,2017),and cytosine(C)to guanine(G)base editing(glycosylase base editors,GBEs)(Chen et al.,2021;Kurt et al.,2021;Zhao et al.,2021)are available for mammalian cells.The nucleotide sequence around the editing position,in or near the target area,is considered the key factor that determines the effi-ciency of base editing.
文献关键词:
作者姓名:
Bo Li;Ya-Qiu Li;Dongdong Zhao;Jie Yang;Yan-He Ma;Chang-Hao Bi;Xue-Li Zhang
作者机构:
Tianjin Institute of Industrial Biotechnology,Chinese Academy of Sciences,Tianjin 300308,China;University of Chinese Academy of Sciences,Beijing 100049,China;Key Laboratory of Systems Microbial Biotechnology,Chinese Academy of Sciences,Tianjin 300308,China;National Technology Innovation Center of Synthetic Biology,Tianjin 300308,China;College of Biotechnology,Tianjin University of Science and Technology,Tianjin 300308,China
文献出处:
引用格式:
[1]Bo Li;Ya-Qiu Li;Dongdong Zhao;Jie Yang;Yan-He Ma;Chang-Hao Bi;Xue-Li Zhang-.Sequence motifs and prediction model of GBE editing outcomes based on target library analysis and machine learning)[J].遗传学报,2022(03):254-257
A类:
Komor,Nishida,CBEs,ABEs,Gaudelli,GBEs,Kurt
B类:
Sequence,motifs,prediction,model,editing,outcomes,target,library,analysis,machine,learning,Base,techniques,were,developed,precise,conver,sion,without,requiring,double,stranded,breaks,DSBs,template,Currently,editors,that,can,perform,cytosine,thymine,adenine,guanine,glycosylase,Chen,Zhao,available,mammalian,cells,nucleotide,sequence,around,position,near,area,considered,key,determines,effi,ciency
AB值:
0.454011
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