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Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells

CRISPR-based screening methods using single-cell RNA sequencing (scRNA-seq) technology enable comprehensive profiling of gene perturbations from knock-out mutations. However, evaluating substitution mutations using scRNA-seq is currently limited. We combined CRISPR RNA-guided deaminase and scRNA-seq...

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Autores principales: Jun, Soyeong, Lim, Hyeonseob, Chun, Honggu, Lee, Ji Hyun, Bang, Duhee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118117/
https://www.ncbi.nlm.nih.gov/pubmed/32242071
http://dx.doi.org/10.1038/s42003-020-0888-2
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author Jun, Soyeong
Lim, Hyeonseob
Chun, Honggu
Lee, Ji Hyun
Bang, Duhee
author_facet Jun, Soyeong
Lim, Hyeonseob
Chun, Honggu
Lee, Ji Hyun
Bang, Duhee
author_sort Jun, Soyeong
collection PubMed
description CRISPR-based screening methods using single-cell RNA sequencing (scRNA-seq) technology enable comprehensive profiling of gene perturbations from knock-out mutations. However, evaluating substitution mutations using scRNA-seq is currently limited. We combined CRISPR RNA-guided deaminase and scRNA-seq technology to develop a platform for introducing mutations in multiple genes and assessing the mutation-associated signatures. Using this platform, we generated a library consisting of 420 sgRNAs, performed sgRNA tracking analysis, and assessed the effect size of the response to vemurafenib in the human melanoma cell line, which has been well-studied via knockout-based drop-out screens. However, a substitution mutation library screen has not been applied and transcriptional information for mechanisms of action was not assessed. Our platform permits discrimination of several candidate mutations that function differently from other mutations by integrating sgRNA candidates and gene expression readout. We anticipate that our platform will enable high-throughput analyses of the mechanisms related to a variety of biological events.
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spelling pubmed-71181172020-04-06 Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells Jun, Soyeong Lim, Hyeonseob Chun, Honggu Lee, Ji Hyun Bang, Duhee Commun Biol Article CRISPR-based screening methods using single-cell RNA sequencing (scRNA-seq) technology enable comprehensive profiling of gene perturbations from knock-out mutations. However, evaluating substitution mutations using scRNA-seq is currently limited. We combined CRISPR RNA-guided deaminase and scRNA-seq technology to develop a platform for introducing mutations in multiple genes and assessing the mutation-associated signatures. Using this platform, we generated a library consisting of 420 sgRNAs, performed sgRNA tracking analysis, and assessed the effect size of the response to vemurafenib in the human melanoma cell line, which has been well-studied via knockout-based drop-out screens. However, a substitution mutation library screen has not been applied and transcriptional information for mechanisms of action was not assessed. Our platform permits discrimination of several candidate mutations that function differently from other mutations by integrating sgRNA candidates and gene expression readout. We anticipate that our platform will enable high-throughput analyses of the mechanisms related to a variety of biological events. Nature Publishing Group UK 2020-04-02 /pmc/articles/PMC7118117/ /pubmed/32242071 http://dx.doi.org/10.1038/s42003-020-0888-2 Text en © The Author(s) 2020 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
Jun, Soyeong
Lim, Hyeonseob
Chun, Honggu
Lee, Ji Hyun
Bang, Duhee
Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells
title Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells
title_full Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells
title_fullStr Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells
title_full_unstemmed Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells
title_short Single-cell analysis of a mutant library generated using CRISPR-guided deaminase in human melanoma cells
title_sort single-cell analysis of a mutant library generated using crispr-guided deaminase in human melanoma cells
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7118117/
https://www.ncbi.nlm.nih.gov/pubmed/32242071
http://dx.doi.org/10.1038/s42003-020-0888-2
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