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CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries

The systematic perturbation of genomes using CRISPR/Cas9 deciphers gene function at an unprecedented rate, depth and ease. Commercially available sgRNA libraries typically contain tens of thousands of pre-defined constructs, resulting in a complexity challenging to handle. In contrast, custom sgRNA...

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Autores principales: Becker, Martin, Noll-Puchta, Heidi, Amend, Diana, Nolte, Florian, Fuchs, Christiane, Jeremias, Irmela, Braun, Christian J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367185/
https://www.ncbi.nlm.nih.gov/pubmed/32479629
http://dx.doi.org/10.1093/nar/gkaa459
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author Becker, Martin
Noll-Puchta, Heidi
Amend, Diana
Nolte, Florian
Fuchs, Christiane
Jeremias, Irmela
Braun, Christian J
author_facet Becker, Martin
Noll-Puchta, Heidi
Amend, Diana
Nolte, Florian
Fuchs, Christiane
Jeremias, Irmela
Braun, Christian J
author_sort Becker, Martin
collection PubMed
description The systematic perturbation of genomes using CRISPR/Cas9 deciphers gene function at an unprecedented rate, depth and ease. Commercially available sgRNA libraries typically contain tens of thousands of pre-defined constructs, resulting in a complexity challenging to handle. In contrast, custom sgRNA libraries comprise gene sets of self-defined content and size, facilitating experiments under complex conditions such as in vivo systems. To streamline and upscale cloning of custom libraries, we present CLUE, a bioinformatic and wet-lab pipeline for the multiplexed generation of pooled sgRNA libraries. CLUE starts from lists of genes or pasted sequences provided by the user and designs a single synthetic oligonucleotide pool containing various libraries. At the core of the approach, a barcoding strategy for unique primer binding sites allows amplifying different user-defined libraries from one single oligonucleotide pool. We prove the approach to be straightforward, versatile and specific, yielding uniform sgRNA distributions in all resulting libraries, virtually devoid of cross-contaminations. For in silico library multiplexing and design, we established an easy-to-use online platform at www.crispr-clue.de. All in all, CLUE represents a resource-saving approach to produce numerous high quality custom sgRNA libraries in parallel, which will foster their broad use across molecular biosciences.
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spelling pubmed-73671852020-07-22 CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries Becker, Martin Noll-Puchta, Heidi Amend, Diana Nolte, Florian Fuchs, Christiane Jeremias, Irmela Braun, Christian J Nucleic Acids Res Methods Online The systematic perturbation of genomes using CRISPR/Cas9 deciphers gene function at an unprecedented rate, depth and ease. Commercially available sgRNA libraries typically contain tens of thousands of pre-defined constructs, resulting in a complexity challenging to handle. In contrast, custom sgRNA libraries comprise gene sets of self-defined content and size, facilitating experiments under complex conditions such as in vivo systems. To streamline and upscale cloning of custom libraries, we present CLUE, a bioinformatic and wet-lab pipeline for the multiplexed generation of pooled sgRNA libraries. CLUE starts from lists of genes or pasted sequences provided by the user and designs a single synthetic oligonucleotide pool containing various libraries. At the core of the approach, a barcoding strategy for unique primer binding sites allows amplifying different user-defined libraries from one single oligonucleotide pool. We prove the approach to be straightforward, versatile and specific, yielding uniform sgRNA distributions in all resulting libraries, virtually devoid of cross-contaminations. For in silico library multiplexing and design, we established an easy-to-use online platform at www.crispr-clue.de. All in all, CLUE represents a resource-saving approach to produce numerous high quality custom sgRNA libraries in parallel, which will foster their broad use across molecular biosciences. Oxford University Press 2020-07-27 2020-06-01 /pmc/articles/PMC7367185/ /pubmed/32479629 http://dx.doi.org/10.1093/nar/gkaa459 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Methods Online
Becker, Martin
Noll-Puchta, Heidi
Amend, Diana
Nolte, Florian
Fuchs, Christiane
Jeremias, Irmela
Braun, Christian J
CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries
title CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries
title_full CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries
title_fullStr CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries
title_full_unstemmed CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries
title_short CLUE: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgRNA libraries
title_sort clue: a bioinformatic and wet-lab pipeline for multiplexed cloning of custom sgrna libraries
topic Methods Online
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7367185/
https://www.ncbi.nlm.nih.gov/pubmed/32479629
http://dx.doi.org/10.1093/nar/gkaa459
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