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Highly multiplexed mRNA quantitation with CRISPR-Cas13
RNA quantitation tools are often either high-throughput or cost-effective, but rarely are they both. Existing methods can profile the transcriptome at great expense or are limited to quantifying a handful of genes by labor constraints. A technique that permits more throughput at a reduced cost could...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461975/ https://www.ncbi.nlm.nih.gov/pubmed/37645785 http://dx.doi.org/10.1101/2023.08.16.553527 |
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author | Kang, Brian Zhang, Jiayu Schwoerer, Michael P. Nelson, Amy N. Schoeman, Emily Guo, Andrew Ploss, Alexander Myhrvold, Cameron |
author_facet | Kang, Brian Zhang, Jiayu Schwoerer, Michael P. Nelson, Amy N. Schoeman, Emily Guo, Andrew Ploss, Alexander Myhrvold, Cameron |
author_sort | Kang, Brian |
collection | PubMed |
description | RNA quantitation tools are often either high-throughput or cost-effective, but rarely are they both. Existing methods can profile the transcriptome at great expense or are limited to quantifying a handful of genes by labor constraints. A technique that permits more throughput at a reduced cost could enable multi-gene kinetic studies, gene regulatory network analysis, and combinatorial genetic screens. Here, we introduce quantitative Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (qCARMEN): an RNA quantitation technique which leverages the programmable RNA-targeting capabilities of CRISPR-Cas13 to address this challenge by quantifying over 4,500 gene-sample pairs in a single experiment. Using qCARMEN, we studied the response profiles of interferon-stimulated genes (ISGs) during interferon (IFN) stimulation and flavivirus infection. Additionally, we observed isoform switching kinetics during epithelial-mesenchymal transition. qCARMEN is a simple and inexpensive technique that greatly enhances the scalability of RNA quantitation for novel applications with performance similar to gold-standard methods. |
format | Online Article Text |
id | pubmed-10461975 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-104619752023-08-29 Highly multiplexed mRNA quantitation with CRISPR-Cas13 Kang, Brian Zhang, Jiayu Schwoerer, Michael P. Nelson, Amy N. Schoeman, Emily Guo, Andrew Ploss, Alexander Myhrvold, Cameron bioRxiv Article RNA quantitation tools are often either high-throughput or cost-effective, but rarely are they both. Existing methods can profile the transcriptome at great expense or are limited to quantifying a handful of genes by labor constraints. A technique that permits more throughput at a reduced cost could enable multi-gene kinetic studies, gene regulatory network analysis, and combinatorial genetic screens. Here, we introduce quantitative Combinatorial Arrayed Reactions for Multiplexed Evaluation of Nucleic acids (qCARMEN): an RNA quantitation technique which leverages the programmable RNA-targeting capabilities of CRISPR-Cas13 to address this challenge by quantifying over 4,500 gene-sample pairs in a single experiment. Using qCARMEN, we studied the response profiles of interferon-stimulated genes (ISGs) during interferon (IFN) stimulation and flavivirus infection. Additionally, we observed isoform switching kinetics during epithelial-mesenchymal transition. qCARMEN is a simple and inexpensive technique that greatly enhances the scalability of RNA quantitation for novel applications with performance similar to gold-standard methods. Cold Spring Harbor Laboratory 2023-09-06 /pmc/articles/PMC10461975/ /pubmed/37645785 http://dx.doi.org/10.1101/2023.08.16.553527 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use. |
spellingShingle | Article Kang, Brian Zhang, Jiayu Schwoerer, Michael P. Nelson, Amy N. Schoeman, Emily Guo, Andrew Ploss, Alexander Myhrvold, Cameron Highly multiplexed mRNA quantitation with CRISPR-Cas13 |
title | Highly multiplexed mRNA quantitation with CRISPR-Cas13 |
title_full | Highly multiplexed mRNA quantitation with CRISPR-Cas13 |
title_fullStr | Highly multiplexed mRNA quantitation with CRISPR-Cas13 |
title_full_unstemmed | Highly multiplexed mRNA quantitation with CRISPR-Cas13 |
title_short | Highly multiplexed mRNA quantitation with CRISPR-Cas13 |
title_sort | highly multiplexed mrna quantitation with crispr-cas13 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461975/ https://www.ncbi.nlm.nih.gov/pubmed/37645785 http://dx.doi.org/10.1101/2023.08.16.553527 |
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