In Cellulo Cysteine Umpolung for Protein Structure Probing
Philipp Hartmann1,2, Kostiantyn Bohdan1,2, Lara Vogelsang3
1Max-Planck-Institut für Kohlenforschung, Kaiser-Wilhelm-Platz 1, 45470 Mülheim an der Ruhr, Germany.
Vinyl thianthrenium tetrafluoroborate (VTT) enables single-step, in-cell protein cross-linking by rapidly forming electrophilic episulfonium ions from native cysteinyl thiols. This method efficiently labels proteins intracellularly for structure prediction.
Area of Science:
- Chemical Biology
- Proteomics
- Structural Biology
Background:
- Intramolecular cross-linking of amino acids is crucial for probing protein structure.
- Existing methods like carbene insertion require two steps, while bifunctional electrophiles have limitations in capturing transient protein conformations.
- A single-step, in situ cross-linking strategy is needed for efficient protein structure analysis.
Purpose of the Study:
- To introduce a novel single-step cross-linking strategy using vinyl thianthrenium tetrafluoroborate (VTT).
- To demonstrate the efficiency and speed of VTT-mediated cross-linking within living cells.
- To highlight VTT's utility for proteome-wide protein structure determination.
Main Methods:
- Utilized vinyl thianthrenium tetrafluoroborate (VTT) for a single-step cross-linking reaction.
- Leveraged the umpolung of native cysteinyl thiols to generate electrophilic episulfonium ions.
- Performed cross-linking reactions in various cell types and compared with existing reagents (maleimide, iodoacetamide).
Main Results:
- VTT mediates rapid (within minutes) in situ cross-linking of amino acids in diverse cell types.
- VTT exhibits fast cellular uptake, enabling efficient intracellular labeling even in the presence of competing reagents.
- The reaction forms stable ethylene linkers between cysteine and nucleophilic amino acids.
Conclusions:
- VTT provides a facile and efficient single-step method for in cellulo protein cross-linking.
- The rapid generation of episulfonium ions without exogenous activation facilitates structure prediction.
- This approach offers a valuable tool for generating quantitative proteome-wide structural information.
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