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Easy quantitative assessment of genome editing by sequence trace decomposition

The efficacy and the mutation spectrum of genome editing methods can vary substantially depending on the targeted sequence. A simple, quick assay to accurately characterize and quantify the induced mutations is therefore needed. Here we present TIDE, a method for this purpose that requires only a pa...

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Detalles Bibliográficos
Autores principales: Brinkman, Eva K., Chen, Tao, Amendola, Mario, van Steensel, Bas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267669/
https://www.ncbi.nlm.nih.gov/pubmed/25300484
http://dx.doi.org/10.1093/nar/gku936
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author Brinkman, Eva K.
Chen, Tao
Amendola, Mario
van Steensel, Bas
author_facet Brinkman, Eva K.
Chen, Tao
Amendola, Mario
van Steensel, Bas
author_sort Brinkman, Eva K.
collection PubMed
description The efficacy and the mutation spectrum of genome editing methods can vary substantially depending on the targeted sequence. A simple, quick assay to accurately characterize and quantify the induced mutations is therefore needed. Here we present TIDE, a method for this purpose that requires only a pair of PCR reactions and two standard capillary sequencing runs. The sequence traces are then analyzed by a specially developed decomposition algorithm that identifies the major induced mutations in the projected editing site and accurately determines their frequency in a cell population. This method is cost-effective and quick, and it provides much more detailed information than current enzyme-based assays. An interactive web tool for automated decomposition of the sequence traces is available. TIDE greatly facilitates the testing and rational design of genome editing strategies.
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spelling pubmed-42676692014-12-23 Easy quantitative assessment of genome editing by sequence trace decomposition Brinkman, Eva K. Chen, Tao Amendola, Mario van Steensel, Bas Nucleic Acids Res Methods Online The efficacy and the mutation spectrum of genome editing methods can vary substantially depending on the targeted sequence. A simple, quick assay to accurately characterize and quantify the induced mutations is therefore needed. Here we present TIDE, a method for this purpose that requires only a pair of PCR reactions and two standard capillary sequencing runs. The sequence traces are then analyzed by a specially developed decomposition algorithm that identifies the major induced mutations in the projected editing site and accurately determines their frequency in a cell population. This method is cost-effective and quick, and it provides much more detailed information than current enzyme-based assays. An interactive web tool for automated decomposition of the sequence traces is available. TIDE greatly facilitates the testing and rational design of genome editing strategies. Oxford University Press 2014-12-16 2014-10-09 /pmc/articles/PMC4267669/ /pubmed/25300484 http://dx.doi.org/10.1093/nar/gku936 Text en © The Author(s) 2014. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Methods Online
Brinkman, Eva K.
Chen, Tao
Amendola, Mario
van Steensel, Bas
Easy quantitative assessment of genome editing by sequence trace decomposition
title Easy quantitative assessment of genome editing by sequence trace decomposition
title_full Easy quantitative assessment of genome editing by sequence trace decomposition
title_fullStr Easy quantitative assessment of genome editing by sequence trace decomposition
title_full_unstemmed Easy quantitative assessment of genome editing by sequence trace decomposition
title_short Easy quantitative assessment of genome editing by sequence trace decomposition
title_sort easy quantitative assessment of genome editing by sequence trace decomposition
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4267669/
https://www.ncbi.nlm.nih.gov/pubmed/25300484
http://dx.doi.org/10.1093/nar/gku936
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