Objective:

To summarize recent advancements in mass spectrometry applications across various fields, emphasizing their significance in peptide identification, air quality assessment, paleoclimate studies, and biological aging.

Key Findings:

• RNovA achieved state-of-the-art de novo sequencing performance and identified kynurenine-modified peptides in rheumatoid arthritis proteomics, demonstrating its effectiveness in complex biological contexts.
• Molecular profiling of PM2.5 revealed significant differences in organic composition between urban and agricultural aerosols, underscoring the importance of source-specific analysis.
• Sediment structure influenced the reliability of climate signals recovered from marine sediments, with laminated intervals showing stronger proxy signal consistency, which is critical for accurate paleoclimate reconstructions.
• The biological-age model based on IgG glycans provides a new method for tracking aging in mice, potentially impacting future aging research.

Interpretation:

The advancements in mass spectrometry techniques demonstrate their versatility and potential for uncovering complex biological and environmental data, paving the way for future research innovations.

Limitations:

• The RNovA framework's performance may vary with different types of mass spectrometry data, which could affect its applicability in diverse research settings.
• The molecular survey results may not be generalizable beyond the specific locations studied, limiting the broader applicability of findings.
• The sediment analysis may be affected by local heterogeneity and depth-alignment differences, which could impact the reliability of climate signal interpretations.

Conclusion:

These studies highlight the evolving capabilities of mass spectrometry in diverse research areas, emphasizing the importance of method development for accurate data interpretation and the potential for future advancements.