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EditR: A Method to Quantify Base Editing from Sanger Sequencing

CRISPR-Cas9-Cytidine deaminase fusion enzymes—termed “base editors”—allow targeted editing of genomic deoxycytidine to deoxythymidine (C:G→T:A) without the need for double-stranded break induction. Base editors represent a paradigm shift in gene editing technology due to their unprecedented efficien...

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Autores principales: Kluesner, Mitchell G., Nedveck, Derek A., Lahr, Walker S., Garbe, John R., Abrahante, Juan E., Webber, Beau R., Moriarity, Branden S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694769/
https://www.ncbi.nlm.nih.gov/pubmed/31021262
http://dx.doi.org/10.1089/crispr.2018.0014
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author Kluesner, Mitchell G.
Nedveck, Derek A.
Lahr, Walker S.
Garbe, John R.
Abrahante, Juan E.
Webber, Beau R.
Moriarity, Branden S.
author_facet Kluesner, Mitchell G.
Nedveck, Derek A.
Lahr, Walker S.
Garbe, John R.
Abrahante, Juan E.
Webber, Beau R.
Moriarity, Branden S.
author_sort Kluesner, Mitchell G.
collection PubMed
description CRISPR-Cas9-Cytidine deaminase fusion enzymes—termed “base editors”—allow targeted editing of genomic deoxycytidine to deoxythymidine (C:G→T:A) without the need for double-stranded break induction. Base editors represent a paradigm shift in gene editing technology due to their unprecedented efficiency to mediate targeted, single-base conversion. However, current analysis of base editing outcomes rely on methods that are either imprecise or expensive and time-consuming. To overcome these limitations, we developed a simple, cost-effective, and accurate program to measure base editing efficiency from fluorescence-based Sanger sequencing, termed “EditR.” We provide EditR as a free online tool or downloadable desktop application requiring a single Sanger sequencing file and guide RNA sequence. EditR is more accurate than enzymatic assays, and provides added insight to the position, type, and efficiency of base editing. Furthermore, EditR is likely amenable to quantify base editing from the recently developed adenosine deaminase base editors that act on either DNA (adenosine deaminase base editors [ABEs]) or RNA (REPAIRs) (catalyzes A:T→G:C). Collectively, we demonstrate that EditR is a robust, inexpensive tool that will facilitate the broad application of base editing technology, thereby fostering further innovation in this burgeoning field.
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spelling pubmed-66947692019-08-20 EditR: A Method to Quantify Base Editing from Sanger Sequencing Kluesner, Mitchell G. Nedveck, Derek A. Lahr, Walker S. Garbe, John R. Abrahante, Juan E. Webber, Beau R. Moriarity, Branden S. CRISPR J Research Articles CRISPR-Cas9-Cytidine deaminase fusion enzymes—termed “base editors”—allow targeted editing of genomic deoxycytidine to deoxythymidine (C:G→T:A) without the need for double-stranded break induction. Base editors represent a paradigm shift in gene editing technology due to their unprecedented efficiency to mediate targeted, single-base conversion. However, current analysis of base editing outcomes rely on methods that are either imprecise or expensive and time-consuming. To overcome these limitations, we developed a simple, cost-effective, and accurate program to measure base editing efficiency from fluorescence-based Sanger sequencing, termed “EditR.” We provide EditR as a free online tool or downloadable desktop application requiring a single Sanger sequencing file and guide RNA sequence. EditR is more accurate than enzymatic assays, and provides added insight to the position, type, and efficiency of base editing. Furthermore, EditR is likely amenable to quantify base editing from the recently developed adenosine deaminase base editors that act on either DNA (adenosine deaminase base editors [ABEs]) or RNA (REPAIRs) (catalyzes A:T→G:C). Collectively, we demonstrate that EditR is a robust, inexpensive tool that will facilitate the broad application of base editing technology, thereby fostering further innovation in this burgeoning field. Mary Ann Liebert, Inc. 2018-06-01 2018-06-01 /pmc/articles/PMC6694769/ /pubmed/31021262 http://dx.doi.org/10.1089/crispr.2018.0014 Text en © Mitchell G. Kluesner et al. 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are cited.
spellingShingle Research Articles
Kluesner, Mitchell G.
Nedveck, Derek A.
Lahr, Walker S.
Garbe, John R.
Abrahante, Juan E.
Webber, Beau R.
Moriarity, Branden S.
EditR: A Method to Quantify Base Editing from Sanger Sequencing
title EditR: A Method to Quantify Base Editing from Sanger Sequencing
title_full EditR: A Method to Quantify Base Editing from Sanger Sequencing
title_fullStr EditR: A Method to Quantify Base Editing from Sanger Sequencing
title_full_unstemmed EditR: A Method to Quantify Base Editing from Sanger Sequencing
title_short EditR: A Method to Quantify Base Editing from Sanger Sequencing
title_sort editr: a method to quantify base editing from sanger sequencing
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6694769/
https://www.ncbi.nlm.nih.gov/pubmed/31021262
http://dx.doi.org/10.1089/crispr.2018.0014
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