The integration of light-responsive domains into proteins allows for control of protein localization, interactions, and function using light. In this study, we incorporated optogenetic control into proximity labeling, a technique for mapping organelles and interactomes in living cells. By introducing a light-sensitive LOV domain into the proximity labeling enzyme TurboID, we were able to control its labeling activity using low-power blue light. This approach, called 'LOV-Turbo', reduces background noise and allows for more precise labeling of proteins. Additionally, LOV-Turbo can be activated by bioluminescence resonance energy transfer from luciferase, enabling interaction-dependent proximity labeling.
The incorporation of light-responsive domains into engineered proteins has enabled control of protein localization, interactions and function with light. We integrated optogenetic control into proximity labeling, a cornerstone technique for high-resolution proteomic mapping of organelles and interactomes in living cells. Through structure-guided screening and directed evolution, we installed the light-sensitive LOV domain into the proximity labeling enzyme TurboID to rapidly and reversibly control its labeling activity with low-power blue light. 'LOV-Turbo' works in multiple contexts and dramatically reduces background in biotin-rich environments such as neurons. We used LOV-Turbo for pulse-chase labeling to discover proteins that traffic between endoplasmic reticulum, nuclear and mitochondrial compartments under cellular stress. We also showed that instead of external light, LOV-Turbo can be activated by bioluminescence resonance energy transfer from luciferase, enabling interaction-dependent proximity labeling. Overall, LOV-Turbo increases the spatial and temporal precision of proximity labeling, expanding the scope of experimental questions that can be addressed with proximity labeling. The light-sensitive LOV domain was engineered into the TurboID enzyme, creating 'LOV-Turbo'. LOV-Turbo enables optogenetic control over proximity labeling, increasing the spatiotemporal precision of this technique.
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