A peptide dataset for target analysis of human complement system proteins.

Area of Science:

• Proteomics
• Mass Spectrometry
• Immunology

Background:

• Targeted LC-MS/MS is crucial for peptide quantification, offering high sensitivity, specificity, and reproducibility.
• Method setup requires target selection and spectral library construction, which can be resource-intensive.

Purpose of the Study:

• To present a comprehensive dataset of peptide mass spectra for targeted LC-MS/MS method setup.
• To facilitate the quantification of human complement system proteins.
• To identify and validate stable peptides for reproducible quantitative analysis.

Main Methods:

• Acquisition of peptide mass spectra using LC-MS/MS.
• Application of the method to human complement system proteins.
• Selection and validation of peptides for stability and reproducibility.

Main Results:

• A dataset of peptide mass spectra for targeted LC-MS/MS is provided.
• A subset of peptides demonstrating stability and reproducibility in quantification was identified.
• The data supports spectral library construction for complement system protein quantification.

Conclusions:

• The presented dataset is a valuable resource for researchers using targeted LC-MS/MS to quantify complement system proteins.
• The identified stable peptides enhance the reliability of quantitative proteomics studies.
• This work streamlines the process of targeted LC-MS/MS method development in immunology research.