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CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool
Engineering of the CRISPR/Cas9 system has opened a plethora of new opportunities for site-directed mutagenesis and targeted genome modification. Fundamental to this is a stretch of twenty nucleotides at the 5’ end of a guide RNA that provides specificity to the bound Cas9 endonuclease. Since a seque...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409221/ https://www.ncbi.nlm.nih.gov/pubmed/25909470 http://dx.doi.org/10.1371/journal.pone.0124633 |
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author | Stemmer, Manuel Thumberger, Thomas del Sol Keyer, Maria Wittbrodt, Joachim Mateo, Juan L. |
author_facet | Stemmer, Manuel Thumberger, Thomas del Sol Keyer, Maria Wittbrodt, Joachim Mateo, Juan L. |
author_sort | Stemmer, Manuel |
collection | PubMed |
description | Engineering of the CRISPR/Cas9 system has opened a plethora of new opportunities for site-directed mutagenesis and targeted genome modification. Fundamental to this is a stretch of twenty nucleotides at the 5’ end of a guide RNA that provides specificity to the bound Cas9 endonuclease. Since a sequence of twenty nucleotides can occur multiple times in a given genome and some mismatches seem to be accepted by the CRISPR/Cas9 complex, an efficient and reliable in silico selection and evaluation of the targeting site is key prerequisite for the experimental success. Here we present the CRISPR/Cas9 target online predictor (CCTop, http://crispr.cos.uni-heidelberg.de) to overcome limitations of already available tools. CCTop provides an intuitive user interface with reasonable default parameters that can easily be tuned by the user. From a given query sequence, CCTop identifies and ranks all candidate sgRNA target sites according to their off-target quality and displays full documentation. CCTop was experimentally validated for gene inactivation, non-homologous end-joining as well as homology directed repair. Thus, CCTop provides the bench biologist with a tool for the rapid and efficient identification of high quality target sites. |
format | Online Article Text |
id | pubmed-4409221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-44092212015-05-12 CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool Stemmer, Manuel Thumberger, Thomas del Sol Keyer, Maria Wittbrodt, Joachim Mateo, Juan L. PLoS One Research Article Engineering of the CRISPR/Cas9 system has opened a plethora of new opportunities for site-directed mutagenesis and targeted genome modification. Fundamental to this is a stretch of twenty nucleotides at the 5’ end of a guide RNA that provides specificity to the bound Cas9 endonuclease. Since a sequence of twenty nucleotides can occur multiple times in a given genome and some mismatches seem to be accepted by the CRISPR/Cas9 complex, an efficient and reliable in silico selection and evaluation of the targeting site is key prerequisite for the experimental success. Here we present the CRISPR/Cas9 target online predictor (CCTop, http://crispr.cos.uni-heidelberg.de) to overcome limitations of already available tools. CCTop provides an intuitive user interface with reasonable default parameters that can easily be tuned by the user. From a given query sequence, CCTop identifies and ranks all candidate sgRNA target sites according to their off-target quality and displays full documentation. CCTop was experimentally validated for gene inactivation, non-homologous end-joining as well as homology directed repair. Thus, CCTop provides the bench biologist with a tool for the rapid and efficient identification of high quality target sites. Public Library of Science 2015-04-24 /pmc/articles/PMC4409221/ /pubmed/25909470 http://dx.doi.org/10.1371/journal.pone.0124633 Text en © 2015 Stemmer et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Stemmer, Manuel Thumberger, Thomas del Sol Keyer, Maria Wittbrodt, Joachim Mateo, Juan L. CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool |
title | CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool |
title_full | CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool |
title_fullStr | CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool |
title_full_unstemmed | CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool |
title_short | CCTop: An Intuitive, Flexible and Reliable CRISPR/Cas9 Target Prediction Tool |
title_sort | cctop: an intuitive, flexible and reliable crispr/cas9 target prediction tool |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4409221/ https://www.ncbi.nlm.nih.gov/pubmed/25909470 http://dx.doi.org/10.1371/journal.pone.0124633 |
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