qTAG: An adaptable CRISPR-based endogenous tagging protocol using optimized repair cassettes

可选择标记 清脆的 计算生物学 基因组编辑 背景(考古学) 生物 限制摘要 人口 生物信息学 基因 质粒 遗传学 限制性酶 社会学 人口学 古生物学
作者
Reuben Philip,Amit Sharma,Laura Pascual Matellán,Anna Christina Erpf,Wen-Hwei Hsu,Johnny M. Tkach,Haley D.M. Wyatt,Laurence Pelletier
标识
DOI:10.1101/2023.11.01.565029
摘要

Abstract Endogenous tagging makes it possible to study a protein’s localization, dynamics, and function within its native regulatory context. This is typically accomplished by using CRISPR to introduce a sequence encoding a functional tag into the reading frame of a gene; however, the efficiency of the process is often limited. Here, we introduce the “quickTAG,” or qTAG system, a versatile collection of optimized repair cassettes designed to make CRISPR-mediated tagging more accessible. By partitioning the cassette to include both a desired tag sequence linked with a selectable marker, integrations can be quickly isolated post-editing. These constructs include several key features that enhance flexibility and ease of use, such as: cassette designs for N– and C-terminus tagging; standardized cloning adaptors to simplify the incorporation of homology arms for HDR or MMEJ-based repairs; restriction sites next to each genetic element within the cassette for easy switching of tags and selectable markers; and the inclusion of lox sites flanking the selectable marker to allow for marker gene removal following integration. Our library of ∼120 plasmids is available on Addgene and includes ready-to-use constructs targeting frequently overexpressed genes as well as ready-to-clone cassettes to tag your own genes of interest. These initial cassettes were engineered to harbor a variety of tags for a range of applications, including fluorescence imaging, proximity-dependent biotinylation, epitope tagging, and targeted protein degradation. This protocol can yield a selected population of edited cells within ∼2-3 weeks, and a clonal-validated cell line within ∼5 weeks. Alongside this protocol, the qTAG system will provide a framework to streamline endogenous tagging in addition to serving as an open resource for researchers to adapt and tailor for their own purposes.
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