Behind The Data: Leveraging Protein And gRNA Engineering Of Diverse CRISPR Systems

When target access, editing potency, bystander edits, or off-target activity constrain a base editing program, optimizing a single component may not be enough. ElevateBio demonstrates how a parallel engineering strategy can improve the complete editing system for a disease-associated SNP. Starting with a low-potency editor, the team screened CRISPR proteins and then optimized the nickase, deaminase, and guide RNA. Engineering the nickase increased editing potency from approximately 10% to 60%, while guide RNA modifications delivered further gains. Deaminase engineering improved on-target correction and reduced unintended bystander edits. When combined, these enhancements produced a more potent, specific, and target-matched candidate without increasing off-target activity.

Learn how coordinated editor selection, protein engineering, and guide RNA optimization can help advance challenging gene correction programs.