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3 recordsLinked to original sources
PubMed2025

Using Prime Editing Guide Generator (PEGG) for high-throughput generation of prime editing sensor libraries.

Prime editing enables the generation of nearly any small genetic variant. However, the process of prime editing guide RNA (pegRNA) design is challenging and requires automated computational design tools. We developed Prime Editing Guide Generator (PEGG), a fast, flexible, and user-friendly Python package that enables the rapid generation of pegRNA and pegRNA-sensor libraries. Here, we describe the installation and use of PEGG (https://pegg.readthedocs.io) to rapidly generate custom pegRNA-sensor libraries for use in high-throughput prime editing screens.

Gene Editing↗
PubMed2026

Dense RNA motif modifications enable robust in vivo prime editing and enhance efficiencies of diverse editing systems.

Prime editing holds promise for therapeutic applications. However, viral delivery of the prime editor presents challenges for clinical translation due to concerns regarding long-term expression. Meanwhile, systemic delivery using non-viral vectors has been limited by low efficiency, the need for repeated injections and reliance on doses that exceed clinically translatable levels. Here we develop engineered prime editing guide RNAs (pegRNAs) with densely modified RNA motifs and demonstrate their application for efficient in vivo prime editing. By systemically delivering the prime editor in RNA format via a single injection of lipid nanoparticles, we achieved nearly 70% editing efficiency in the bulk mouse liver, indicating successful editing of the majority of hepatocytes. Notably, a single injection at a clinically translatable lipid nanoparticle dose was sufficient to suppress target protein expression in vivo, resulting in a near 80-fold increase in editing efficiency compared with conventional end-modified pegRNAs. Furthermore, incorporating densely modified RNA motifs, including the widely used MS2 motif, proved broadly applicable across various RNA sequences and split RNA-guided genome editing platforms, resulting in up to an 11-fold increase in base editing efficiency. These findings present a generalizable approach for enhancing the therapeutic potential of prime editing and expanding the utility of RNA-based therapeutics.

Journal Article↗
PubMed2026

Development of a highly efficient prime editing platform for cucurbits enables breeding of multi-disease-resistant cucumber.

The prime editing (PE) system is a precise genome editing technology that works efficiently in monocots; however, its application is limited by low editing efficiency in dicots, particularly Cucurbitaceae and Solanaceae plants. Here, we first significantly improved the transformation efficiency by introducing spectinomycin in cucurbits, then used the tomato elongation factor 1-alpha (SlEF1α) promoter to enhance PE protein expression, and incorporated the Csy4 ribonuclease to process pegRNAs, collectively addressing multiple constraints limiting PE efficiency in cucurbits. The optimized PE systems, particularly Csy4-PE6d, achieved an average desired editing frequency of 80.83% at targeted loci in cucumber via stable genetic transformation, with frequencies reaching up to 100% at certain sites. Moreover, Csy4-PE6d generated homozygous edits in 36.43% of transgenic lines and demonstrated robust editing activity in melon, pumpkin, and potato. Using the Csy4-PE6d tool, we generated heritable edited cucumber lines with dual resistance to bacterial angular leaf spot and downy mildew by targeting the CsSGR gene. Collectively, this optimized system substantially enhances PE efficiency in Cucurbit crops, providing an effective solution to common challenges such as low editing efficiency and limited heritability in these species.

Disease Resistance↗