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An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue
Biolistic delivery is widely used for genetic transformation but inconsistency between bombardment samples for transient gene expression analysis often hinders quantitative analyses. We developed a methodology to improve the consistency of biolistic delivery results by using a double-barrel device a...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032657/ https://www.ncbi.nlm.nih.gov/pubmed/33833247 http://dx.doi.org/10.1038/s41598-021-86549-9 |
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author | Miller, Kyle Eggenberger, Alan L. Lee, Keunsub Liu, Fei Kang, Minjeong Drent, Madison Ruba, Andrew Kirscht, Tyler Wang, Kan Jiang, Shan |
author_facet | Miller, Kyle Eggenberger, Alan L. Lee, Keunsub Liu, Fei Kang, Minjeong Drent, Madison Ruba, Andrew Kirscht, Tyler Wang, Kan Jiang, Shan |
author_sort | Miller, Kyle |
collection | PubMed |
description | Biolistic delivery is widely used for genetic transformation but inconsistency between bombardment samples for transient gene expression analysis often hinders quantitative analyses. We developed a methodology to improve the consistency of biolistic delivery results by using a double-barrel device and a cell counting software. The double-barrel device enables a strategy of incorporating an internal control into each sample, which significantly decreases variance of the results. The cell counting software further reduces errors and increases throughput. The utility of this new platform is demonstrated by optimizing conditions for delivering DNA using the commercial transfection reagent TransIT-2020. In addition, the same approach is applied to test the efficacy of multiple gRNAs for CRISPR-Cas9-mediated gene editing. The novel combination of the bombardment device and analysis method allows simultaneous comparison and optimization of parameters in the biolistic delivery. The platform developed here can be broadly applied to any target samples using biolistics, including animal cells and tissues. |
format | Online Article Text |
id | pubmed-8032657 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-80326572021-04-09 An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue Miller, Kyle Eggenberger, Alan L. Lee, Keunsub Liu, Fei Kang, Minjeong Drent, Madison Ruba, Andrew Kirscht, Tyler Wang, Kan Jiang, Shan Sci Rep Article Biolistic delivery is widely used for genetic transformation but inconsistency between bombardment samples for transient gene expression analysis often hinders quantitative analyses. We developed a methodology to improve the consistency of biolistic delivery results by using a double-barrel device and a cell counting software. The double-barrel device enables a strategy of incorporating an internal control into each sample, which significantly decreases variance of the results. The cell counting software further reduces errors and increases throughput. The utility of this new platform is demonstrated by optimizing conditions for delivering DNA using the commercial transfection reagent TransIT-2020. In addition, the same approach is applied to test the efficacy of multiple gRNAs for CRISPR-Cas9-mediated gene editing. The novel combination of the bombardment device and analysis method allows simultaneous comparison and optimization of parameters in the biolistic delivery. The platform developed here can be broadly applied to any target samples using biolistics, including animal cells and tissues. Nature Publishing Group UK 2021-04-08 /pmc/articles/PMC8032657/ /pubmed/33833247 http://dx.doi.org/10.1038/s41598-021-86549-9 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Miller, Kyle Eggenberger, Alan L. Lee, Keunsub Liu, Fei Kang, Minjeong Drent, Madison Ruba, Andrew Kirscht, Tyler Wang, Kan Jiang, Shan An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue |
title | An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue |
title_full | An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue |
title_fullStr | An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue |
title_full_unstemmed | An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue |
title_short | An improved biolistic delivery and analysis method for evaluation of DNA and CRISPR-Cas delivery efficacy in plant tissue |
title_sort | improved biolistic delivery and analysis method for evaluation of dna and crispr-cas delivery efficacy in plant tissue |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8032657/ https://www.ncbi.nlm.nih.gov/pubmed/33833247 http://dx.doi.org/10.1038/s41598-021-86549-9 |
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