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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2014
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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. |
format | Online Article Text |
id | pubmed-4267669 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
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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