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CRISPRimmunity: An interactive web server for CRISPR-associated Important Molecular events and Modulators Used in geNome edIting Tool identifYing

  • Fengxia Zhou*
  • , Xiaorong Yu
  • , Rui Gan
  • , Kuan Ren
  • , Chuangeng Chen
  • , Chunyan Ren
  • , Meng Cui
  • , Yuchen Liu
  • , Yiyang Gao
  • , Shouyu Wang
  • , Mingyu Yin
  • , Tengjin Huang
  • , Zhiwei Huang*
  • , Fan Zhang*
  • *Corresponding author for this work
  • School of Life Science and Technology, Harbin Institute of Technology
  • Changping Laboratory
  • Harvard University
  • Westlake University
  • New Cornerstone Science Laboratory
  • CAS - Hefei Institutes of Physical Sciences

Research output: Contribution to journalArticlepeer-review

Abstract

The CRISPR-Cas system is a highly adaptive and RNA-guided immune system found in bacteria and archaea, which has applications as a genome editing tool and is a valuable system for studying the co-evolutionary dynamics of bacteriophage interactions. Here introduces CRISPRimmunity, a new web server designed for Acr prediction, identification of novel class 2 CRISPR-Cas loci, and dissection of key CRISPR-associated molecular events. CRISPRimmunity is built on a suite of CRISPR-oriented databases providing a comprehensive co-evolutionary perspective of the CRISPR-Cas and anti-CRISPR systems. The platform achieved a high prediction accuracy of 0.997 for Acr prediction when tested on a dataset of 99 experimentally validated Acrs and 676 non-Acrs, outperforming other existing prediction tools. Some of the newly identified class 2 CRISPR-Cas loci using CRISPRimmunity have been experimentally validated for cleavage activity in vitro. CRISPRimmunity offers the catalogues of pre-identified CRISPR systems to browse and query, the collected resources or databases to download, a well-designed graphical interface, a detailed tutorial, multi-faceted information, and exportable results in machine-readable formats, making it easy to use and facilitating future experimental design and further data mining. The platform is available at http://www.microbiome-bigdata.com/CRISPRimmunity. Moreover, the source code for batch analysis are published on Github (https://github.com/HIT-ImmunologyLab/CRISPRimmunity).

Original languageEnglish
Pages (from-to)W93-W107
JournalNucleic Acids Research
Volume51
Issue numberW1
DOIs
StatePublished - 5 Jul 2023
Externally publishedYes

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