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High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases
The development of site-specific recombinases (SSRs) as genome editing agents is limited by the difficulty of altering their native DNA specificities. Here we describe Rec-seq, a method for revealing the DNA specificity determinants and potential off-target substrates of SSRs in a comprehensive and...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486577/ https://www.ncbi.nlm.nih.gov/pubmed/31028261 http://dx.doi.org/10.1038/s41467-019-09987-0 |
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author | Bessen, Jeffrey L. Afeyan, Lena K. Dančík, Vlado Koblan, Luke W. Thompson, David B. Leichner, Chas Clemons, Paul A. Liu, David R. |
author_facet | Bessen, Jeffrey L. Afeyan, Lena K. Dančík, Vlado Koblan, Luke W. Thompson, David B. Leichner, Chas Clemons, Paul A. Liu, David R. |
author_sort | Bessen, Jeffrey L. |
collection | PubMed |
description | The development of site-specific recombinases (SSRs) as genome editing agents is limited by the difficulty of altering their native DNA specificities. Here we describe Rec-seq, a method for revealing the DNA specificity determinants and potential off-target substrates of SSRs in a comprehensive and unbiased manner. We applied Rec-seq to characterize the DNA specificity determinants of several natural and evolved SSRs including Cre, evolved variants of Cre, and other SSR family members. Rec-seq profiling of these enzymes and mutants thereof revealed previously uncharacterized SSR interactions, including specificity determinants not evident from SSR:DNA structures. Finally, we used Rec-seq specificity profiles to predict off-target substrates of Tre and Brec1 recombinases, including endogenous human genomic sequences, and confirmed their ability to recombine these off-target sequences in human cells. These findings establish Rec-seq as a high-resolution method for rapidly characterizing the DNA specificity of recombinases with single-nucleotide resolution, and for informing their further development. |
format | Online Article Text |
id | pubmed-6486577 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64865772019-04-29 High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases Bessen, Jeffrey L. Afeyan, Lena K. Dančík, Vlado Koblan, Luke W. Thompson, David B. Leichner, Chas Clemons, Paul A. Liu, David R. Nat Commun Article The development of site-specific recombinases (SSRs) as genome editing agents is limited by the difficulty of altering their native DNA specificities. Here we describe Rec-seq, a method for revealing the DNA specificity determinants and potential off-target substrates of SSRs in a comprehensive and unbiased manner. We applied Rec-seq to characterize the DNA specificity determinants of several natural and evolved SSRs including Cre, evolved variants of Cre, and other SSR family members. Rec-seq profiling of these enzymes and mutants thereof revealed previously uncharacterized SSR interactions, including specificity determinants not evident from SSR:DNA structures. Finally, we used Rec-seq specificity profiles to predict off-target substrates of Tre and Brec1 recombinases, including endogenous human genomic sequences, and confirmed their ability to recombine these off-target sequences in human cells. These findings establish Rec-seq as a high-resolution method for rapidly characterizing the DNA specificity of recombinases with single-nucleotide resolution, and for informing their further development. Nature Publishing Group UK 2019-04-26 /pmc/articles/PMC6486577/ /pubmed/31028261 http://dx.doi.org/10.1038/s41467-019-09987-0 Text en © The Author(s) 2019 Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Bessen, Jeffrey L. Afeyan, Lena K. Dančík, Vlado Koblan, Luke W. Thompson, David B. Leichner, Chas Clemons, Paul A. Liu, David R. High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases |
title | High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases |
title_full | High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases |
title_fullStr | High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases |
title_full_unstemmed | High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases |
title_short | High-resolution specificity profiling and off-target prediction for site-specific DNA recombinases |
title_sort | high-resolution specificity profiling and off-target prediction for site-specific dna recombinases |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6486577/ https://www.ncbi.nlm.nih.gov/pubmed/31028261 http://dx.doi.org/10.1038/s41467-019-09987-0 |
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