scholarly journals Author Correction: De novo identification of essential protein domains from CRISPR-Cas9 tiling-sgRNA knockout screens

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Wei He ◽  
Liang Zhang ◽  
Oscar D. Villarreal ◽  
Rongjie Fu ◽  
Ella Bedford ◽  
...  
2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Wei He ◽  
Liang Zhang ◽  
Oscar D. Villarreal ◽  
Rongjie Fu ◽  
Ella Bedford ◽  
...  

Abstract 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.


2019 ◽  
Author(s):  
Wei He ◽  
Liang Zhang ◽  
Oscar D. Villarreal ◽  
Rongjie Fu ◽  
Ella Bedford ◽  
...  

AbstractHigh-throughput CRISPR/Cas9 knockout screens using a tiling-sgRNA design permit in situ evaluation of protein domain function. To facilitate de novo identification of essential protein domains from such screens, we developed ProTiler, a computational method for the robust mapping of CRISPR knockout hyper-sensitive (CKHS) regions, which refers to the protein regions that are associated with strong sgRNA dropout effect in the screens. We used ProTiler to analyze a published CRISPR tiling screen dataset, and identified 175 CKHS regions in 83 proteins. Of these CKHS regions, more than 80% overlapped with annotated Pfam domains, including all of the 15 known drug targets in the dataset. ProTiler also revealed unannotated essential domains, including the N-terminus of the SWI/SNF subunit SMARCB1, which we validated experimentally. Surprisingly, the CKHS regions were 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.


PLoS ONE ◽  
2017 ◽  
Vol 12 (3) ◽  
pp. e0173733 ◽  
Author(s):  
Katrin Domsch ◽  
Andreas Acs ◽  
Claudia Obermeier ◽  
Hanh T. Nguyen ◽  
Ingolf Reim

FEBS Journal ◽  
2018 ◽  
Vol 285 (14) ◽  
pp. 2605-2625 ◽  
Author(s):  
Steffen Klasberg ◽  
Tristan Bitard‐Feildel ◽  
Isabelle Callebaut ◽  
Erich Bornberg‐Bauer

2021 ◽  
Author(s):  
A.S.M. Zisanur Rahman ◽  
Lukas Timmerman ◽  
Flyn Gallardo ◽  
Silvia T. Cardona

Abstract A first clue to gene function can be obtained by examining whether a gene is required for life in certain standard conditions, that is, whether a gene is essential. In bacteria, essential genes are usually identified by high-density transposon mutagenesis followed by sequencing of insertion sites (Tn-seq). These studies assign the term “essential” to whole genes rather than the protein domain sequences that confer the essential functions. However, genes can code for multiple protein domains that evolve their functions independently. Therefore, when essential genes code for more than one protein domain, only one of them could be essential. In this study, we defined this subset of genes as “essential domain-containing” (EDC) genes. Using a Tn-seq data set built-in Burkholderia cenocepacia K56-2, we developed an in silico pipeline to identify EDC genes and the essential protein domains they encode. We found forty candidate EDC genes and demonstrated growth defect phenotypes using CRISPR interference (CRISPRi). This analysis included two knockdowns of genes encoding the protein domains of unknown function DUF2213 and DUF4148. These essential domains are conserved in more than two hundred bacterial species, including human and plant pathogens. Together, our study suggests that essentiality should be assigned to individual protein domains rather than genes, contributing to a first functional characterization of protein domains of unknown function.


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