EditABLE: A Simple Web Application for Designing Genome Editing Experiments

Area of Science:

• Genetics and Genomics
• Biotechnology
• Molecular Biology

Background:

• CRISPR-Cas genome editing offers transformative potential for research and therapy.
• A significant gap exists in tools for selecting optimal CRISPR-Cas editing strategies for specific genetic modifications.
• Current methods lack a user-friendly approach for identifying precise genome editing tools.

Purpose of the Study:

• To develop a computational resource for selecting validated CRISPR-Cas editors and guide RNAs.
• To provide a user-friendly platform for designing genome editing experiments.
• To address the need for optimized tools in gene editing for research and therapeutic applications.

Main Methods:

• Development of editABLE, an online resource available at editable-app.stanford.edu.
• Computationally validating CRISPR editors and guide RNAs based on user-provided sequence data.
• Application of editABLE to identify editing tools for autosomal dominant polycystic kidney disease (ADPKD) mutations.

Main Results:

• editABLE provides computationally validated CRISPR editors and guide RNAs.
• The tool guides users in selecting appropriate genome editing technologies for specific sequences.
• Specific editing tools were identified for various autosomal dominant polycystic kidney disease mutations.

Conclusions:

• editABLE serves as a valuable online resource for the CRISPR-Cas genome editing community.
• The tool simplifies the selection of optimal genome editing strategies for experimental and therapeutic purposes.
• editABLE facilitates the application of CRISPR-Cas technology to genetic disorders like ADPKD.