Dual Labeling of Newly Synthesized Proteins and Existing Proteins Using _CG-SLENP.

Area of Science:

• Chemical biology
• Molecular and cell biology
• Proteomics

Background:

• Studying newly synthesized proteins within the complex proteome is difficult.
• Existing labeling methods (e.g., amino acid, puromycin) are suitable for bulk analysis but not for live-cell tracking of specific proteins.
• There is a need for methods that allow dynamic studies of individual proteins in real-time.

Purpose of the Study:

• To develop a novel chemical genetics-based method for selective dual labeling of existing and newly synthesized proteins.
• To enable live-cell tracking and dynamic studies of specific target proteins.
• To provide a versatile tool for proteomic research.

Main Methods:

• Developed a chemical genetics-based selective labeling of existing and newly synthesized proteins (CG-SLENP) method.
• Utilized nuclear lamin A (LA) tagged with HaloTag (HaloTag-LA) as an exemplar protein.
• Employed various Halo ligands for selective protein labeling, including clickable and fluorescent options.

Main Results:

• Demonstrated the CG-SLENP method for labeling both existing and newly synthesized proteins.
• Showcased the ability to label proteins individually or dually within the same live cell.
• Successfully applied the method using HaloTag-LA as a model system.

Conclusions:

• The CG-SLENP method offers a robust approach for dual protein labeling in live cells.
• This technique overcomes limitations of previous methods for dynamic single-protein studies.
• CG-SLENP has broad potential for investigating any protein of interest in cellular research.