Genetically encoded bioorthogonal tryptophan decaging in living cells
Yuchao Zhu1, Wenlong Ding2, Yulin Chen2,3
1New Cornerstone Science Laboratory, Synthetic and Functional Biomolecules Center, Key Laboratory of Bioorganic Chemistry and Molecular Engineering of Ministry of Education, Beijing National Laboratory for Molecular Sciences, College of Chemistry and Molecular Engineering, Peking University, Beijing, China.
Researchers developed a new method to control tryptophan (Trp) interactions in proteins using a genetically encoded caged-tryptophan (Trp-CAGE). This allows precise manipulation of protein functions in living cells for diverse applications.
Area of Science:
- Biochemistry
- Molecular Biology
- Chemical Biology
Background:
- Tryptophan (Trp) is crucial for protein structure and function due to its unique chemical properties.
- Controlling Trp interactions in vivo is challenging but essential for protein manipulation.
- Existing methods lack generalizability and site-specific control for Trp interactions.
Purpose of the Study:
- To develop a generalizable platform for blocking and rescuing Trp interactions in proteins.
- To enable gain-of-function manipulation of Trp-containing proteins in vivo.
- To achieve site-specific activation of Trp on proteins of interest in living cells.
Main Methods:
- Genetically encoding an N1-vinyl-caged Trp (Trp-CAGE).
- Utilizing an optimized inverse electron-demand Diels-Alder reaction for rapid and bioorthogonal decaging.
- Applying the Trp-CAGE strategy to various protein families, including catalase-peroxidases and kinases.
Main Results:
- Demonstrated rapid and bioorthogonal decaging of Trp-CAGE in living cells.
- Successfully activated Trp site-specifically in diverse protein families.
- Showcased temporal control over epigenetic signaling modulation.
- Identified over 28,000 candidate proteins for bioorthogonal Trp activation.
Conclusions:
- The Trp-CAGE strategy provides a powerful tool for precise, bioorthogonal Trp activation.
- This method enables the modulation of protein interactions and functions in native cellular environments.
- The platform has broad applicability for manipulating diverse proteins and understanding cellular processes.
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