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

4区生物学 Q3 Biochemistry, Genetics and Molecular Biology

Methods in enzymology Pub Date : 2025-01-01 Epub Date: 2025-03-06 DOI:10.1016/bs.mie.2025.01.006

Samuel I Gould, Francisco J Sánchez-Rivera

引用次数: 0

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.

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利用质数编辑引导生成器（peg）实现高通量生成质数编辑传感器库。

启动编辑可以产生几乎任何小的遗传变异。然而，启动编辑引导RNA （pegRNA）设计的过程是具有挑战性的，需要自动化的计算设计工具。我们开发了Prime Editing Guide Generator (PEGG)，这是一个快速、灵活、用户友好的Python包，可以快速生成pegRNA和pegRNA传感器库。在这里，我们描述了PEGG （https://pegg.readthedocs.io）的安装和使用，以快速生成用于高通量主要编辑屏幕的自定义pegrna传感器库。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Methods in enzymology 生物-生化研究方法

CiteScore

2.90

自引率

0.00%

发文量

308

审稿时长

3-6 weeks

期刊介绍： The critically acclaimed laboratory standard for almost 50 years, Methods in Enzymology is one of the most highly respected publications in the field of biochemistry. Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 500 volumes the series contains much material still relevant today and is truly an essential publication for researchers in all fields of life sciences, including microbiology, biochemistry, cancer research and genetics-just to name a few. Five of the 2013 Nobel Laureates have edited or contributed to volumes of MIE.