Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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
_version_ 1783456709047484416
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
work_keys_str_mv AT hewei denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT zhangliang denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT villarrealoscard denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT furongjie denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT bedfordella denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT doujingzhuang denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT patelanishy denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT bedfordmarkt denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT shixiaobing denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT chentaiping denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT bartholomewblaine denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens
AT xuhan denovoidentificationofessentialproteindomainsfromcrisprcas9tilingsgrnaknockoutscreens