Labeling Endogenous Proteins Using CRISPR-mediated Insertion of Exon (CRISPIE).

Evan A Wilson,Tianyi Mao,Haining Zhong

Bio-protocol(2022)

引用 0|浏览4
暂无评分
摘要
The CRISPR/Cas9 technology has transformed our ability to edit eukaryotic genomes. Despite this breakthrough, it remains challenging to precisely knock-in large DNA sequences, such as those encoding a fluorescent protein, for labeling or modifying a target protein in post-mitotic cells. Previous efforts focusing on sequence insertion to the protein coding sequence often suffer from insertions/deletions (INDELs) resulting from the efficient non-homologous end joining pathway (NHEJ). To overcome this limitation, we have developed CRISPR-mediated insertion of exon (CRISPIE). CRISPIE circumvents INDELs and other editing errors by inserting a designer exon flanked by adjacent intron sequences into an appropriate intronic location of the targeted gene. Because INDELs at the insertion junction can be spliced out, "CRISPIEd" genes produce precisely edited mRNA transcripts that are virtually error-free. In part due to the elimination of INDELs, high-efficiency labeling can be achieved . CRISPIE is compatible with both N- and C-terminal labels, and with all common transfection methods. Importantly, CRISPIE allows for later removal of the protein modification by including exogenous single-guide RNA (sgRNA) sites in the intronic region of the donor module. This protocol provides the detailed CRISPIE methodology, using endogenous labeling of β-actin in human U-2 OS cells with enhanced green fluorescent protein (EGFP) as an example. When combined with the appropriate gene delivery methods, the same methodology can be applied to label post-mitotic neurons in culture and . This methodology can also be readily adapted for use in other gene editing contexts.
更多
查看译文
关键词
CRISPR/Cas9,Fluorescence microscopy,Fluorescent labeling of endogenous proteins,Genome editing,Knock-in,Non-homologous end joining (NHEJ),Somatic cell editing,Transfection
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要