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AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses

CRISPR–Cas is an anti-viral mechanism of prokaryotes that has been widely adopted for genome editing. To make CRISPR–Cas genome editing more controllable and safer to use, anti-CRISPR proteins have been recently exploited to prevent excessive/prolonged Cas nuclease cleavage. Anti-CRISPR (Acr) protei...

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Autores principales: Huang, Le, Yang, Bowen, Yi, Haidong, Asif, Amina, Wang, Jiawei, Lithgow, Trevor, Zhang, Han, Minhas, Fayyaz ul Amir Afsar, Yin, Yanbin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778997/
https://www.ncbi.nlm.nih.gov/pubmed/33068435
http://dx.doi.org/10.1093/nar/gkaa857
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author Huang, Le
Yang, Bowen
Yi, Haidong
Asif, Amina
Wang, Jiawei
Lithgow, Trevor
Zhang, Han
Minhas, Fayyaz ul Amir Afsar
Yin, Yanbin
author_facet Huang, Le
Yang, Bowen
Yi, Haidong
Asif, Amina
Wang, Jiawei
Lithgow, Trevor
Zhang, Han
Minhas, Fayyaz ul Amir Afsar
Yin, Yanbin
author_sort Huang, Le
collection PubMed
description CRISPR–Cas is an anti-viral mechanism of prokaryotes that has been widely adopted for genome editing. To make CRISPR–Cas genome editing more controllable and safer to use, anti-CRISPR proteins have been recently exploited to prevent excessive/prolonged Cas nuclease cleavage. Anti-CRISPR (Acr) proteins are encoded by (pro)phages/(pro)viruses, and have the ability to inhibit their host's CRISPR–Cas systems. We have built an online database AcrDB (http://bcb.unl.edu/AcrDB) by scanning ∼19 000 genomes of prokaryotes and viruses with AcrFinder, a recently developed Acr-Aca (Acr-associated regulator) operon prediction program. Proteins in Acr-Aca operons were further processed by two machine learning-based programs (AcRanker and PaCRISPR) to obtain numerical scores/ranks. Compared to other anti-CRISPR databases, AcrDB has the following unique features: (i) It is a genome-scale database with the largest collection of data (39 799 Acr-Aca operons containing Aca or Acr homologs); (ii) It offers a user-friendly web interface with various functions for browsing, graphically viewing, searching, and batch downloading Acr-Aca operons; (iii) It focuses on the genomic context of Acr and Aca candidates instead of individual Acr protein family and (iv) It collects data with three independent programs each having a unique data mining algorithm for cross validation. AcrDB will be a valuable resource to the anti-CRISPR research community.
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spelling pubmed-77789972021-01-06 AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses Huang, Le Yang, Bowen Yi, Haidong Asif, Amina Wang, Jiawei Lithgow, Trevor Zhang, Han Minhas, Fayyaz ul Amir Afsar Yin, Yanbin Nucleic Acids Res Database Issue CRISPR–Cas is an anti-viral mechanism of prokaryotes that has been widely adopted for genome editing. To make CRISPR–Cas genome editing more controllable and safer to use, anti-CRISPR proteins have been recently exploited to prevent excessive/prolonged Cas nuclease cleavage. Anti-CRISPR (Acr) proteins are encoded by (pro)phages/(pro)viruses, and have the ability to inhibit their host's CRISPR–Cas systems. We have built an online database AcrDB (http://bcb.unl.edu/AcrDB) by scanning ∼19 000 genomes of prokaryotes and viruses with AcrFinder, a recently developed Acr-Aca (Acr-associated regulator) operon prediction program. Proteins in Acr-Aca operons were further processed by two machine learning-based programs (AcRanker and PaCRISPR) to obtain numerical scores/ranks. Compared to other anti-CRISPR databases, AcrDB has the following unique features: (i) It is a genome-scale database with the largest collection of data (39 799 Acr-Aca operons containing Aca or Acr homologs); (ii) It offers a user-friendly web interface with various functions for browsing, graphically viewing, searching, and batch downloading Acr-Aca operons; (iii) It focuses on the genomic context of Acr and Aca candidates instead of individual Acr protein family and (iv) It collects data with three independent programs each having a unique data mining algorithm for cross validation. AcrDB will be a valuable resource to the anti-CRISPR research community. Oxford University Press 2020-10-17 /pmc/articles/PMC7778997/ /pubmed/33068435 http://dx.doi.org/10.1093/nar/gkaa857 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of Nucleic Acids Research. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Database Issue
Huang, Le
Yang, Bowen
Yi, Haidong
Asif, Amina
Wang, Jiawei
Lithgow, Trevor
Zhang, Han
Minhas, Fayyaz ul Amir Afsar
Yin, Yanbin
AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
title AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
title_full AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
title_fullStr AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
title_full_unstemmed AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
title_short AcrDB: a database of anti-CRISPR operons in prokaryotes and viruses
title_sort acrdb: a database of anti-crispr operons in prokaryotes and viruses
topic Database Issue
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7778997/
https://www.ncbi.nlm.nih.gov/pubmed/33068435
http://dx.doi.org/10.1093/nar/gkaa857
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