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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Vydané v:	Cell Ročník 182; číslo 2; s. 463
Hlavní autori:	Arbab, Mandana, Shen, Max W, Mok, Beverly, Wilson, Christopher, Matuszek, Żaneta, Cassa, Christopher A, Liu, David R
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 23.07.2020
Predmet:	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
On-line prístup:	Zistit podrobnosti o prístupe
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