Optimization of C-to-G base editors with sequence context preference predictable by machine learning methods.

Yuan, Tanglong; Yan, Nana; Fei, Tianyi; Zheng, Jitan; Meng, Juan; Li, Nana; Liu, Jing; Zhang, Haihang; Xie, Long; Ying, Wenqin; Li, Di; Shi, Lei; Sun, Yongsen; Li, Yongyao; Li, Yixue; Sun, Yidi; Zuo, Erwei

Yuan, Tanglong; Yan, Nana; Fei, Tianyi; Zheng, Jitan; Meng, Juan; Li, Nana; Liu, Jing; Zhang, Haihang; Xie, Long; Ying, Wenqin; Li, Di; Shi, Lei; Sun, Yongsen; Li, Yongyao; Li, Yixue; Sun, Yidi; Zuo, Erwei.

Affiliation

Yuan T; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Yan N; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Fei T; Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Zheng J; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Meng J; Department of Neurology and Institute of Neurology, First Affiliated Hospital, Institute of Neuroscience, Fujian Medical University, Fuzhou, China.
Li N; Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Liu J; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Zhang H; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Xie L; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Ying W; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Li D; Institute of Neuroscience, CAS Center for Excellence in Brain Science and Intelligence Technology, Chinese Academy of Sciences, Shanghai, China.
Shi L; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Sun Y; State Key Lab for Conservation and Utilization of Subtropical Agric-Biological Resources, Guangxi University, Nanning, China.
Li Y; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Li Y; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Sun Y; Shenzhen Branch, Guangdong Laboratory for Lingnan Modern Agriculture, Genome Analysis Laboratory of the Ministry of Agriculture, Agricultural Genomics Institute at Shenzhen, Chinese Academy of Agricultural Sciences, Shenzhen, China.
Zuo E; Bio-Med Big Data Center, Key Laboratory of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences Shanghai, Shanghai, C

Nat Commun ; 12(1): 4902, 2021 08 12.

Article de En | MEDLINE | ID: mdl-34385461

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Cytidine deaminase / Uracil-DNA glycosidase / Systèmes CRISPR-Cas / Apprentissage machine / Édition de gène Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Animals / Female / Humans Langue: En Journal: Nat Commun Sujet du journal: BIOLOGIA / CIENCIA Année: 2021 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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