Determinants of Base Editing Outcomes from Target Library Analysis and Machine Learning

Although base editors are widely used to install targeted point mutations, the factors that determine base editing outcomes are not well understood. We characterized sequence-activity relationships of 11 cytosine and adenine base editors (CBEs and ABEs) on 38,538 genomically integrated targets in ma...

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Veröffentlicht in:	Cell Jg. 182; H. 2; S. 463
Hauptverfasser:	Arbab, Mandana, Shen, Max W, Mok, Beverly, Wilson, Christopher, Matuszek, Żaneta, Cassa, Christopher A, Liu, David R
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 23.07.2020
Schlagworte:	Animals Gene Editing - methods Gene Library Humans Machine Learning Mice Mouse Embryonic Stem Cells - cytology Mouse Embryonic Stem Cells - metabolism Point Mutation RNA, Guide, CRISPR-Cas Systems transversion base editing machine learning base editing disease correction precision genome editing
ISSN:	1097-4172, 1097-4172
Online-Zugang:	Weitere Angaben
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