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Published on: March 14, 2019
Excited-State Intramolecular Proton Transfer Enables Self-Reporting Fluorescent Photoaffinity Labeling in Live Cells
Kostiantyn Kozoriz1, Dhiraj P Murale2, Seong Cheol Hong2
1Department of Chemistry & School of Transdisciplinary Innovations, Seoul National University, Gwanak Ro-1, Gwanak gu, Seoul 08826, Republic of Korea.
This study introduces a new photoaffinity labeling (PAL) method using excited-state intramolecular proton transfer (ESIPT) chemistry. This advanced technique enables precise mapping of cellular interactions with minimal disturbance and self-reporting capabilities.
Area of Science:
- Biochemistry
- Chemical Biology
- Molecular Biology
Background:
- Photoaffinity labeling (PAL) is crucial for studying transient biomolecular interactions.
- Conventional PAL methods often involve reactive intermediates causing non-specific reactions and varied cross-linked products.
Purpose of the Study:
- To develop a novel photoaffinity labeling (PAL) strategy addressing limitations of existing methods.
- To introduce a self-reporting and spatially precise PAL platform for mapping intracellular interactions.
Main Methods:
- Utilized excited-state intramolecular proton transfer (ESIPT) chemistry based on 2-(2'-hydroxyphenyl)benzimidazole (HBI).
- Employed HBI for picosecond enol-to-keto tautomerization to generate a transient Michael-acceptor electrophile.
- Validated the platform through chemoselective cysteine capture and in situ reporting via keto-band emission.
Main Results:
- Demonstrated intrinsic spatial fidelity and reduced solvent quenching due to reversible ground-state return in the absence of nucleophiles.
- Successfully applied the platform for proximity-directed capture of a formylglycine-generating enzyme (FGE)/substrate pair.
- Performed de novo interactome profiling of tau K18-P301L, identifying eight cellular effectors, including four novel ones.
Conclusions:
- ESIPT photochemistry offers a minimally perturbing, self-reporting PAL platform for intracellular interaction mapping.
- The developed method enhances spatial fidelity and reduces non-specific labeling compared to conventional techniques.
- This platform provides a powerful tool for investigating complex cellular interaction networks in native environments.
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