Applications of Genetic Code Expansion in Studying Protein Post-translational Modification
1Institute of Molecular Physiology, Shenzhen Bay Laboratory, Shenzhen 518132, China.
Genetic code expansion allows precise study of protein post-translational modifications by incorporating non-canonical amino acids. This method illuminates the roles of these modifications in biological processes.
Area of Science:
- Biochemistry
- Molecular Biology
- Proteomics
Background:
- Protein post-translational modifications (PTMs) regulate diverse cellular functions but are challenging to study due to their dynamic nature.
- Site-specific PTMs are crucial for protein activity, localization, interaction, and stability.
- Understanding PTMs requires precise experimental tools to overcome challenges in deciphering their biological implications.
Purpose of the Study:
- To review the application of genetic code expansion for studying site-specific protein PTMs.
- To explore methods for incorporating PTMs or their mimics using non-canonical amino acids.
- To discuss the potential of genetic code expansion in advancing PTM research.
Main Methods:
- Genetic code expansion using orthogonal aminoacyl-tRNA synthetase/tRNA pairs to incorporate non-canonical amino acids.
- Direct incorporation of non-canonical amino acids bearing PTMs or their mimics.
- Utilizing precursor non-canonical amino acids followed by chemical/enzymatic modifications.
- Genetically encoding amino acids for functional regulation of PTM-modifying enzymes.
Main Results:
- Demonstrated applicability for various PTMs including phosphorylation, sulfation, nitration, acetylation, methylation, and citrullination.
- Enabled study of acylation, ubiquitination, and other PTMs via precursor amino acids.
- Showcased potential for functional studies of PTM-related enzymes.
Conclusions:
- Genetic code expansion is a powerful tool for site-specific PTM research in vitro and in vivo.
- This technology provides new avenues for investigating the physiological roles of PTMs.
- Future perspectives include overcoming limitations and expanding applications in proteomics.
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