Sleeping ORANGE: A Transposase-Enhanced CRISPR Approach to Boost Endogenous Protein Tagging Efficiency

Abstract

BackgroundInvestigating the subcellular distribution of proteins is crucial for understanding complex cell behaviours and disease mechanisms, and fluorescence microscopy has become a key tool for visualising protein localisation. Endogenous protein tagging, where the sequence for a tag (typically a peptide or fluorescent protein) is integrated into the native genetic sequence encoding a protein of interest, enables proteins to be visualised without the need for antibodies against the target protein. ORANGE (Open Resource for the Application of Neuronal Genome Editing) is a CRISPR-Cas9-based endogenous protein tagging technique which relies on homology-independent targeted integration (HITI)-mediated gene editing. Utilising HITI as the DNA repair pathway of choice gives ORANGE the advantage of being more efficient than classical homology-directed repair (HDR)-based endogenous protein tagging techniques and additionally, means it can be used in post-mitotic cells. ResultsWe applied the ORANGE system to tag three proteins, CYFIP1, JAKMIP1, and STAT3, and confirmed that the expressed fusion proteins demonstrate expected subcellular localisations through fluorescence microscopy. Unexpectedly, the efficiency of ORANGE editing was less than 1% in HEK293 cells, despite high transfection efficiency. To improve the editing efficiency associated with ORANGE, we combined the ORANGE method with an established Sleeping Beauty transposase/CRISPR-Cas9 fusion technique, which has been shown to enhance HITI-mediated gene editing. Using this new method, which we term Sleeping ORANGE, we successfully tagged CYFIP1 with the fluorescent protein mNeonGreen. Importantly, quantitative analysis by fluorescence microscopy and flow cytometry demonstrated an increase in editing efficiency using Sleeping ORANGE, with an approximately 12.85-fold increase in the percentage of mNeonGreen-expressing cells at 72 hours post-transfection relative to populations of cells edited with the ORANGE method. ConclusionsWe have incorporated the DNA-binding domain of the Sleeping Beauty transposase to create a new system that improves the gene-editing efficiency of the ORANGE technique. With further developments to optimise CRISPR gRNA design and reduce off-target effects, the Sleeping ORANGE technique may form a valuable tool for researchers to better understand subcellular localisation and dynamics.