MetRS*-based deep cell-selective tissue proteomics and secretomics in vivo

Area of Science:

• Biochemistry
• Proteomics
• Cell Biology

Background:

• Intercellular communication analysis is crucial for understanding tissue function.
• Existing cell sorting methods have limitations for in vivo studies.
• MetRS*-based labeling offers a cell-selective approach for proteomic analysis.

Purpose of the Study:

• To present experimental guidelines for MetRS*-based cell-selective proteomics in vivo.
• To provide a detailed sample preparation protocol for tissues and body fluids.
• To enable cell type-specific proteome and secretome analyses.

Main Methods:

• Utilizing MetRS*-based cell-selective protein labeling.
• Applying mass spectrometry-based proteomics.
• Developing protocols for tissue and body fluid sample preparation.

Main Results:

• Demonstrated application for comprehensive proteomic characterization of cellular proteins in tissues.
• Showcased analysis of released proteins in the bloodstream.
• Established a robust methodology for in vivo cell-selective proteomics.

Conclusions:

• MetRS*-based cell-selective labeling combined with mass spectrometry is a powerful tool for in vivo intercellular communication research.
• The provided guidelines and protocols facilitate cell type-specific proteome and secretome investigations.
• This approach overcomes limitations of traditional methods, enabling deeper insights into complex biological systems.