Collision energies: Optimization strategies for bottom-up proteomics

Area of Science:

• Proteomics
• Analytical Chemistry
• Biochemistry

Background:

• Liquid chromatography-mass spectrometry is vital for proteomics.
• Complex biochemical and biomedical questions require advanced proteomics workflows.
• Optimizing experimental parameters, like collision energy, is essential.

Purpose of the Study:

• To review collision energy optimization strategies in proteomics.
• To provide use case studies for further research.
• To discuss inter-laboratory result comparison and methodology transfer.

Main Methods:

• Review of collision energy optimization strategies in tandem mass spectrometry.
• Systematic collection of use case studies.
• Discussion on comparing results across studies and instruments.

Main Results:

• Identified key role of collision energy in bottom-up proteomics.
• Presented various collision energy optimization strategies.
• Provided practical use case examples for proteomics applications.

Conclusions:

• Effective collision energy optimization enhances MS-based proteomics.
• Standardized methodologies and reference species aid result comparability.
• This review serves as a guide for advanced proteomics research.