Performance enhancement of CRISPR-Cas system based on improved guide RNA: a review

CRISPR-Cas technology has emerged as a transformative tool with widespread applications in gene editing and biosensing research; nevertheless, it is plagued by a suite of performance-related bottlenecks, including suboptimal targeting efficiency, undesirable off-target effects, insufficient sensitivity and recognition specificity, restricted target scope, limited multiplexing capacity, incompatible reaction systems, and compromised stability. As gRNA optimization has emerged as a core strategy to address these bottlenecks, there is an urgent need to consolidate recent breakthroughs in this rapidly advancing field. Existing literature lacks a comprehensive, focused synthesis of how gRNA optimization mitigates these key limitations, alongside an analysis of current challenges and future directions.

Herein, this review comprehensively summarizes recent breakthroughs in augmenting CRISPR-Cas system performance through guide RNA (gRNA) optimization, and further dissects the current challenges, future prospects, and promising research directions in this rapidly advancing field.

It is timely to guide researchers in overcoming CRISPR-Cas performance barriers and accelerating its applications in gene editing and biosensing.