Publication | Open Access
Split-TurboID enables contact-dependent proximity labeling in cells
30
Citations
81
References
2020
Year
Unknown Venue
Molecular BiologyCytoskeletonAbstract Proximity LabelingCellular PhysiologyProteomic TechnologyMitochondrial BiogenesisProtein FoldingCell InteractionProteomicsEnzyme TurboidBiochemical FractionationCell DivisionBiochemistryCell ManipulationCell EngineeringCell BiologyCell CommunicationNatural SciencesCellular StructureCellular BiochemistryMedicineOrganelle DynamicOrganelle Biology
Most proteins have specific subcellular localization patterns essential for function, and proximity labeling maps these patterns proteome‑wide. The authors developed split‑TurboID, a split promiscuous biotinylating enzyme, to improve the specificity and versatility of proximity labeling. Split‑TurboID fragments are co‑expressed and reconstituted by a drug, protein–protein interaction, or organelle contact, enabling mapping of the protein composition at endoplasmic reticulum–mitochondria contact sites. The method successfully mapped the protein composition of ER–mitochondria contact sites and offers a valuable tool for conditional or higher‑specificity proximity labeling.
Significance Most of the thousands of proteins that comprise a human cell have specific subcellular localization patterns essential for their function. “Proximity labeling” (PL) is a method for mapping the localization of endogenous cellular proteins on a proteome-wide scale. To improve the specificity and versatility of PL, we developed split-TurboID, a promiscuous biotinylating enzyme split into two inactive fragments. The fragments are coexpressed in cells and brought together by a drug, protein–protein interaction, or organelle contact to reconstitute TurboID enzymatic activity. We used split-TurboID to map the protein composition of endoplasmic reticulum–mitochondria contact sites, which are essential for mitochondrial fission, lipid biosynthesis, and calcium signaling. For conditional or higher-specificity PL, split-TurboID may be a valuable tool for biological discovery.
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