CT-Finder: A Web Service for CRISPR Optimal Target Prediction and Visualization

Area of Science:

• Genomics
• Molecular Biology
• Bioinformatics

Background:

• CRISPR genome engineering offers significant potential but requires enhanced specificity and efficiency for broad applications.
• Current methods for designing guide RNAs (gRNAs) need optimization to reduce off-target effects, a critical factor for therapeutic and research use.

Purpose of the Study:

• To introduce CT-Finder, a web service designed to assist users in designing highly specific guide RNAs (gRNAs) for genome engineering.
• To provide a tool that supports various CRISPR systems, including single-gRNA Cas9, Cas9 D10A nickases (Cas9n), and dimeric RNA-guided FokI nucleases (RFNs).

Main Methods:

• CT-Finder analyzes potential gRNAs to predict and minimize off-target effects.
• The web service offers graphical visualization of both on-target and off-target sites within the genome for validation.
• It supports major model organisms, facilitating broader research applicability.

Main Results:

• CT-Finder enables the selection of optimal target candidates by minimizing predicted off-target mutations.
• The tool provides visual genomic context for on-target and off-target sites, aiding in experimental design and validation.
• The service accommodates multiple CRISPR systems, enhancing its utility for diverse genome engineering strategies.

Conclusions:

• CT-Finder is a valuable resource for researchers aiming to improve the specificity of CRISPR-based genome engineering.
• The web service facilitates the design of more reliable and efficient gRNAs, crucial for advancing CRISPR technology in various fields.
• By minimizing off-target effects and supporting diverse CRISPR systems, CT-Finder contributes to the safe and effective application of genome engineering tools.