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De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens
High-throughput CRISPR-Cas9 knockout screens using a tiling-sgRNA design permit in situ evaluation of protein domain function. Here, to facilitate de novo identification of essential protein domains from such screens, we propose ProTiler, a computational method for the robust mapping of CRISPR knock...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778102/ https://www.ncbi.nlm.nih.gov/pubmed/31586052 http://dx.doi.org/10.1038/s41467-019-12489-8 |
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author | He, Wei Zhang, Liang Villarreal, Oscar D. Fu, Rongjie Bedford, Ella Dou, Jingzhuang Patel, Anish Y. Bedford, Mark T. Shi, Xiaobing Chen, Taiping Bartholomew, Blaine Xu, Han |
author_facet | He, Wei Zhang, Liang Villarreal, Oscar D. Fu, Rongjie Bedford, Ella Dou, Jingzhuang Patel, Anish Y. Bedford, Mark T. Shi, Xiaobing Chen, Taiping Bartholomew, Blaine Xu, Han |
author_sort | He, Wei |
collection | PubMed |
description | High-throughput CRISPR-Cas9 knockout screens using a tiling-sgRNA design permit in situ evaluation of protein domain function. Here, to facilitate de novo identification of essential protein domains from such screens, we propose ProTiler, a computational method for the robust mapping of CRISPR knockout hyper-sensitive (CKHS) regions, which refer to the protein regions associated with a strong sgRNA dropout effect in the screens. Applied to a published CRISPR tiling screen dataset, ProTiler identifies 175 CKHS regions in 83 proteins. Of these CKHS regions, more than 80% overlap with annotated Pfam domains, including all of the 15 known drug targets in the dataset. ProTiler also reveals unannotated essential domains, including the N-terminus of the SWI/SNF subunit SMARCB1, which is validated experimentally. Surprisingly, the CKHS regions are negatively correlated with phosphorylation and acetylation sites, suggesting that protein domains and post-translational modification sites have distinct sensitivities to CRISPR-Cas9 mediated amino acids loss. |
format | Online Article Text |
id | pubmed-6778102 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-67781022019-10-07 De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens He, Wei Zhang, Liang Villarreal, Oscar D. Fu, Rongjie Bedford, Ella Dou, Jingzhuang Patel, Anish Y. Bedford, Mark T. Shi, Xiaobing Chen, Taiping Bartholomew, Blaine Xu, Han Nat Commun Article High-throughput CRISPR-Cas9 knockout screens using a tiling-sgRNA design permit in situ evaluation of protein domain function. Here, to facilitate de novo identification of essential protein domains from such screens, we propose ProTiler, a computational method for the robust mapping of CRISPR knockout hyper-sensitive (CKHS) regions, which refer to the protein regions associated with a strong sgRNA dropout effect in the screens. Applied to a published CRISPR tiling screen dataset, ProTiler identifies 175 CKHS regions in 83 proteins. Of these CKHS regions, more than 80% overlap with annotated Pfam domains, including all of the 15 known drug targets in the dataset. ProTiler also reveals unannotated essential domains, including the N-terminus of the SWI/SNF subunit SMARCB1, which is validated experimentally. Surprisingly, the CKHS regions are negatively correlated with phosphorylation and acetylation sites, suggesting that protein domains and post-translational modification sites have distinct sensitivities to CRISPR-Cas9 mediated amino acids loss. Nature Publishing Group UK 2019-10-04 /pmc/articles/PMC6778102/ /pubmed/31586052 http://dx.doi.org/10.1038/s41467-019-12489-8 Text en © The Author(s) 2019 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 He, Wei Zhang, Liang Villarreal, Oscar D. Fu, Rongjie Bedford, Ella Dou, Jingzhuang Patel, Anish Y. Bedford, Mark T. Shi, Xiaobing Chen, Taiping Bartholomew, Blaine Xu, Han De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title | De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_full | De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_fullStr | De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_full_unstemmed | De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_short | De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens |
title_sort | de novo identification of essential protein domains from crispr-cas9 tiling-sgrna knockout screens |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6778102/ https://www.ncbi.nlm.nih.gov/pubmed/31586052 http://dx.doi.org/10.1038/s41467-019-12489-8 |
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