Measuring pathway database coverage of the phosphoproteome

Area of Science:

• Molecular Biology
• Biochemistry
• Proteomics

Background:

• Protein phosphorylation is a critical post-translational modification regulating cellular processes.
• Advances in mass spectrometry have identified over 100,000 phosphorylation sites, leading to data saturation.
• Assigning biological function to identified phosphosites remains a significant challenge in phosphoproteomics.

Purpose of the Study:

• To assess the suitability of seven widely used databases for providing functional insights into phosphoproteomics data.
• To compare the global coverage and consistency of phosphorylation annotations across these databases.
• To guide researchers in selecting appropriate databases for analyzing phosphoproteomic datasets.

Main Methods:

• Analysis of seven major phosphoproteomics databases.
• Determination of global coverage at both protein and phosphosite levels.
• Assessment of annotation consistency against a global standard.
• Evaluation of database coverage across six experimental phosphoproteomics datasets.

Main Results:

• Significant variations in database coverage and annotation consistency were observed.
• Each database exhibits distinct strengths and weaknesses in annotating phosphosites.
• The study provides a comparative analysis to inform database selection for functional interpretation.

Conclusions:

• Literature-derived databases are more suitable for assigning phosphosite functionality than data-driven approaches.
• Understanding database limitations is crucial for effective interpretation of phosphoproteomics data.
• This analysis serves as a practical guide for leveraging existing knowledge to uncover biological mechanisms from phosphoproteomic studies.