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Genome scale analysis of pathogenic variants targetable for single base editing

BACKGROUND: Single nucleotide variants account for approximately 90% of all known pathogenic variants responsible for human diseases. Recently discovered CRISPR/Cas9 base editors can correct individual nucleotides without cutting DNA and inducing double-stranded breaks. We aimed to find all possible...

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Autores principales: Lavrov, Alexander V., Varenikov, Georgi G., Skoblov, Mikhail Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499999/
https://www.ncbi.nlm.nih.gov/pubmed/32948190
http://dx.doi.org/10.1186/s12920-020-00735-8
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author Lavrov, Alexander V.
Varenikov, Georgi G.
Skoblov, Mikhail Yu
author_facet Lavrov, Alexander V.
Varenikov, Georgi G.
Skoblov, Mikhail Yu
author_sort Lavrov, Alexander V.
collection PubMed
description BACKGROUND: Single nucleotide variants account for approximately 90% of all known pathogenic variants responsible for human diseases. Recently discovered CRISPR/Cas9 base editors can correct individual nucleotides without cutting DNA and inducing double-stranded breaks. We aimed to find all possible pathogenic variants which can be efficiently targeted by any of the currently described base editors and to present them for further selection and development of targeted therapies. METHODS: ClinVar database (GRCh37_clinvar_20171203) was used to search and select mutations available for current single-base editing systems. We included only pathogenic and likely pathogenic variants for further analysis. For every potentially editable mutation we checked the presence of PAM. If a PAM was found, we analyzed the sequence to find possibility to edit only one nucleotide without changing neighboring nucleotides. The code of the script to search Clinvar database and to analyze the sequences was written in R and is available in the appendix. RESULTS: We analyzed 21 editing system currently reported in 9 publications. Every system has different working characteristics such as the editing window and PAM sequence. C > T base editors can precisely target 3196 mutations (46% of all pathogenic T > C variants), and A > G editors – 6900 mutations (34% of all pathogenic G > A variants). CONCLUSIONS: Protein engineering helps to develop new enzymes with a narrower window of base editors as well as using new Cas9 enzymes with different PAM sequences. But, even now the list of mutations which can be targeted with currently available systems is huge enough to choose and develop new targeted therapies.
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spelling pubmed-74999992020-09-21 Genome scale analysis of pathogenic variants targetable for single base editing Lavrov, Alexander V. Varenikov, Georgi G. Skoblov, Mikhail Yu BMC Med Genomics Research BACKGROUND: Single nucleotide variants account for approximately 90% of all known pathogenic variants responsible for human diseases. Recently discovered CRISPR/Cas9 base editors can correct individual nucleotides without cutting DNA and inducing double-stranded breaks. We aimed to find all possible pathogenic variants which can be efficiently targeted by any of the currently described base editors and to present them for further selection and development of targeted therapies. METHODS: ClinVar database (GRCh37_clinvar_20171203) was used to search and select mutations available for current single-base editing systems. We included only pathogenic and likely pathogenic variants for further analysis. For every potentially editable mutation we checked the presence of PAM. If a PAM was found, we analyzed the sequence to find possibility to edit only one nucleotide without changing neighboring nucleotides. The code of the script to search Clinvar database and to analyze the sequences was written in R and is available in the appendix. RESULTS: We analyzed 21 editing system currently reported in 9 publications. Every system has different working characteristics such as the editing window and PAM sequence. C > T base editors can precisely target 3196 mutations (46% of all pathogenic T > C variants), and A > G editors – 6900 mutations (34% of all pathogenic G > A variants). CONCLUSIONS: Protein engineering helps to develop new enzymes with a narrower window of base editors as well as using new Cas9 enzymes with different PAM sequences. But, even now the list of mutations which can be targeted with currently available systems is huge enough to choose and develop new targeted therapies. BioMed Central 2020-09-18 /pmc/articles/PMC7499999/ /pubmed/32948190 http://dx.doi.org/10.1186/s12920-020-00735-8 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data.
spellingShingle Research
Lavrov, Alexander V.
Varenikov, Georgi G.
Skoblov, Mikhail Yu
Genome scale analysis of pathogenic variants targetable for single base editing
title Genome scale analysis of pathogenic variants targetable for single base editing
title_full Genome scale analysis of pathogenic variants targetable for single base editing
title_fullStr Genome scale analysis of pathogenic variants targetable for single base editing
title_full_unstemmed Genome scale analysis of pathogenic variants targetable for single base editing
title_short Genome scale analysis of pathogenic variants targetable for single base editing
title_sort genome scale analysis of pathogenic variants targetable for single base editing
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7499999/
https://www.ncbi.nlm.nih.gov/pubmed/32948190
http://dx.doi.org/10.1186/s12920-020-00735-8
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