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CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins
CRISPR-based genome-editing tools have emerged as an efficient tool for functional genomics studies. Online tools and databases have been developed to facilitate the design and selection of CRISPR single guide RNA (sgRNA) for gene modifications. However, to the best of our knowledge, none of these t...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Research Network of Computational and Structural Biotechnology
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307495/ https://www.ncbi.nlm.nih.gov/pubmed/35891797 http://dx.doi.org/10.1016/j.csbj.2022.07.026 |
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author | Mei, Hong Gu, Qian Wang, Wei Meng, Yu Jiang, Lichun Liu, Jia |
author_facet | Mei, Hong Gu, Qian Wang, Wei Meng, Yu Jiang, Lichun Liu, Jia |
author_sort | Mei, Hong |
collection | PubMed |
description | CRISPR-based genome-editing tools have emerged as an efficient tool for functional genomics studies. Online tools and databases have been developed to facilitate the design and selection of CRISPR single guide RNA (sgRNA) for gene modifications. However, to the best of our knowledge, none of these tools or database are designated to cell surface proteins. In a previous study, we described the development and application of surfaceome CRISPR libraries targeting to cell surface proteins on human cells. Here, we present the design and construction of an online tool and database (https://crispr-surfaceome.siais.shanghaitech.edu.cn/home), named CRISPR-Surfaceome, for the design of highly efficient sgRNA targeting to the surface proteins on human cells. To show case and validate the efficiencies of sgRNAs designed by this online tool, we chose ICAM-1 gene for knockout studies and found that all the 10 designed ICAM-1 sgRNAs could efficiently generate knockout cells, with more than 80% gene disruption rates. These ICAM-1 knockout cells were found to be resistant to the infection of rhinovirus (RV), which utilizes ICAM-1 as the receptor. Therefore, CRISPR-Surfaceome can serve the research community for the functional genomics studies on cell surface proteins, such as identification of pathogen receptors and discovery of drug targets. |
format | Online Article Text |
id | pubmed-9307495 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Research Network of Computational and Structural Biotechnology |
record_format | MEDLINE/PubMed |
spelling | pubmed-93074952022-07-25 CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins Mei, Hong Gu, Qian Wang, Wei Meng, Yu Jiang, Lichun Liu, Jia Comput Struct Biotechnol J Research Article CRISPR-based genome-editing tools have emerged as an efficient tool for functional genomics studies. Online tools and databases have been developed to facilitate the design and selection of CRISPR single guide RNA (sgRNA) for gene modifications. However, to the best of our knowledge, none of these tools or database are designated to cell surface proteins. In a previous study, we described the development and application of surfaceome CRISPR libraries targeting to cell surface proteins on human cells. Here, we present the design and construction of an online tool and database (https://crispr-surfaceome.siais.shanghaitech.edu.cn/home), named CRISPR-Surfaceome, for the design of highly efficient sgRNA targeting to the surface proteins on human cells. To show case and validate the efficiencies of sgRNAs designed by this online tool, we chose ICAM-1 gene for knockout studies and found that all the 10 designed ICAM-1 sgRNAs could efficiently generate knockout cells, with more than 80% gene disruption rates. These ICAM-1 knockout cells were found to be resistant to the infection of rhinovirus (RV), which utilizes ICAM-1 as the receptor. Therefore, CRISPR-Surfaceome can serve the research community for the functional genomics studies on cell surface proteins, such as identification of pathogen receptors and discovery of drug targets. Research Network of Computational and Structural Biotechnology 2022-07-18 /pmc/articles/PMC9307495/ /pubmed/35891797 http://dx.doi.org/10.1016/j.csbj.2022.07.026 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Article Mei, Hong Gu, Qian Wang, Wei Meng, Yu Jiang, Lichun Liu, Jia CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins |
title | CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins |
title_full | CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins |
title_fullStr | CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins |
title_full_unstemmed | CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins |
title_short | CRISPR-surfaceome: An online tool for designing highly efficient sgRNAs targeting cell surface proteins |
title_sort | crispr-surfaceome: an online tool for designing highly efficient sgrnas targeting cell surface proteins |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9307495/ https://www.ncbi.nlm.nih.gov/pubmed/35891797 http://dx.doi.org/10.1016/j.csbj.2022.07.026 |
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