Using Prime Editing Guide Generator (PEGG) for high-throughput generation of prime editing sensor libraries
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Updated: May 21, 2025

Efficient PAM-Less Base Editing for Zebrafish Modeling of Human Genetic Disease with zSpRY-ABE8e
Published on: February 17, 2023
Samuel I Gould1, Francisco J Sánchez-Rivera1
1Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, United States; David H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, United States.
Abstract:
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.

