CRISPy-web: An online resource to design sgRNAs for CRISPR applications.

Synth Syst Biotechnol

The Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kogle Alle 6, 2970 Hørsholm, Denmark.

Published: June 2016

AI Article Synopsis

  • CRISPR/Cas9 is a groundbreaking technology in molecular biology that enables precise genome editing, originally found in prokaryotes as an immune response to viruses.
  • The Cas9 enzyme requires specially designed single guide RNAs (sgRNAs) for targeting specific genes, with many design tools available for model organisms, but limited options for non-model organisms.
  • CRISPy-web is a user-friendly online platform that allows researchers to design sgRNAs for any microbial genome, providing interactive selection, off-target checks, and easy export of results without needing to install additional software.

Article Abstract

CRISPR/Cas9-based genome editing has been one of the major achievements of molecular biology, allowing the targeted engineering of a wide range of genomes. The system originally evolved in prokaryotes as an adaptive immune system against bacteriophage infections. It now sees widespread application in genome engineering workflows, especially using the endonuclease Cas9. To utilize Cas9, so-called single guide RNAs (sgRNAs) need to be designed for each target gene. While there are many tools available to design sgRNAs for the popular model organisms, only few tools that allow designing sgRNAs for non-model organisms exist. Here, we present CRISPy-web (http://crispy.secondarymetabolites.org/), an easy to use web tool based on CRISPy to design sgRNAs for any user-provided microbial genome. CRISPy-web allows researchers to interactively select a region of their genome of interest to scan for possible sgRNAs. After checks for potential off-target matches, the resulting sgRNA sequences are displayed graphically and can be exported to text files. All steps and information are accessible from a web browser without the requirement to install and use command line scripts.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5640694PMC
http://dx.doi.org/10.1016/j.synbio.2016.01.003DOI Listing

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