Prime Editing Driven Functional Genomics: Bridging Genotype to Phenotype in the Post-Genomic Era
Syeda N Begum1, Syed K Hasan1,2
1Hasan Laboratory, Advanced Centre for Treatment, Research and Education in Cancer (ACTREC), Tata Memorial Centre, Navi Mumbai 410210, India.
None:
The post-genomic era, defined by large-scale sequencing initiatives, has generated an unprecedented catalogue of human genetic variation. Yet, the vast majority of genetic variants remain classified as variants of uncertain significance or are located within poorly characterized non-coding regions, thereby hindering the effective translation of genomic data into meaningful biological understanding and clinical application. Bridging this genotype-to-phenotype gap requires precise, high-throughput functional genomics. Early CRISPR-Cas9 knockout and CRISPR interference/activation (CRISPRi/a) screens mapped gene-level functions but could not assess single nucleotide variants (SNVs). Bridging this genotype-to-phenotype gap demands precise, high-throughput functional genomics. Multiplexed assays of variant effect (MAVEs), like saturation genome editing, systematically test all possible mutations using CRISPR-Cas9 and donor libraries. Base editors allow targeted single-base changes without double-strand breaks but are limited in scope, while prime editing can introduce any small substitution, insertion, or deletion without double-strand breaks (DSBs) or donor templates. This review traces the evolution of functional screens from gene-level knockouts to saturation genomic editing (SGE), and highlights how prime editing is driving a new paradigm for the systematic functional characterization of thousands of variants across disease-relevant genes. We also detail the architecture, mechanism, and progressive optimization of PE systems and their delivery methods. Collectively, prime editing stands as a transformative platform poised to accelerate precision functional genomics and advance the diagnosis and treatment of genetic diseases.
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