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Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs
A variety of base editors have been developed to achieve C-to-T editing in different genomic contexts. Here, we compare a panel of five base editors on their C-to-T editing efficiencies and product purity at commonly editable sites, including some human pathogenic C-to-T mutations. We further profil...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806563/ https://www.ncbi.nlm.nih.gov/pubmed/31647030 http://dx.doi.org/10.1186/s13059-019-1839-4 |
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author | Wang, Ying Gao, Runze Wu, Jing Xiong, Yi-Chun Wei, Jia Zhang, Sipin Yang, Bei Chen, Jia Yang, Li |
author_facet | Wang, Ying Gao, Runze Wu, Jing Xiong, Yi-Chun Wei, Jia Zhang, Sipin Yang, Bei Chen, Jia Yang, Li |
author_sort | Wang, Ying |
collection | PubMed |
description | A variety of base editors have been developed to achieve C-to-T editing in different genomic contexts. Here, we compare a panel of five base editors on their C-to-T editing efficiencies and product purity at commonly editable sites, including some human pathogenic C-to-T mutations. We further profile the accessibilities of 20 base editors to all possible pathogenic mutations in silico. Finally, we build the BEable-GPS (Base Editable prediction of Global Pathogenic SNVs) database for users to select proper base editors to model or correct disease-related mutations. The in vivo comparison and in silico profiling catalog the availability of base editors and their broad applications in biomedical studies. |
format | Online Article Text |
id | pubmed-6806563 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-68065632019-10-28 Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs Wang, Ying Gao, Runze Wu, Jing Xiong, Yi-Chun Wei, Jia Zhang, Sipin Yang, Bei Chen, Jia Yang, Li Genome Biol Short Report A variety of base editors have been developed to achieve C-to-T editing in different genomic contexts. Here, we compare a panel of five base editors on their C-to-T editing efficiencies and product purity at commonly editable sites, including some human pathogenic C-to-T mutations. We further profile the accessibilities of 20 base editors to all possible pathogenic mutations in silico. Finally, we build the BEable-GPS (Base Editable prediction of Global Pathogenic SNVs) database for users to select proper base editors to model or correct disease-related mutations. The in vivo comparison and in silico profiling catalog the availability of base editors and their broad applications in biomedical studies. BioMed Central 2019-10-23 /pmc/articles/PMC6806563/ /pubmed/31647030 http://dx.doi.org/10.1186/s13059-019-1839-4 Text en © The Author(s). 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Short Report Wang, Ying Gao, Runze Wu, Jing Xiong, Yi-Chun Wei, Jia Zhang, Sipin Yang, Bei Chen, Jia Yang, Li Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs |
title | Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs |
title_full | Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs |
title_fullStr | Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs |
title_full_unstemmed | Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs |
title_short | Comparison of cytosine base editors and development of the BEable-GPS database for targeting pathogenic SNVs |
title_sort | comparison of cytosine base editors and development of the beable-gps database for targeting pathogenic snvs |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806563/ https://www.ncbi.nlm.nih.gov/pubmed/31647030 http://dx.doi.org/10.1186/s13059-019-1839-4 |
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