"Comparative Analysis of Glycoproteomic Software Using a Tailored Glycan Database".

Area of Science:

• Glycoproteomics
• Mass Spectrometry
• Bioinformatics

Background:

• Glycoproteomics is a rapidly advancing field driven by technological innovation.
• Numerous software tools exist for glycoproteomics data analysis, making comparison challenging.
• Standardized comparison of these tools is essential for reliable results.

Purpose of the Study:

• To conduct a head-to-head comparison of five modern glycoproteomics analytical software: Byonic, Protein Prospector, MSFraggerGlyco, pGlyco3, and GlycoDecipher.
• To evaluate software performance by minimizing parameter variables and constructing matched glycan databases.
• To assess the reliability and accuracy of identified glycoproteins, glycosites, and glycans.

Main Methods:

• Comparative analysis of five glycoproteomics software tools.
• Glycomic profiling of wild-type SH-SY5Y cells.
• Construction of matched glycan databases for each software based on glycomic profiling.
• Identification of glycopeptide spectra across three biological replicates.

Main Results:

• Substantial overlap was observed among most software in identifying glycoproteins, glycosite locations, and glycans.
• Byonic reported a high number of glycoproteins and glycosites with questionable reliability.
• Protein Prospector identified the highest number of glycopeptide spectrum matches with strong agreement to known glycosites in UniProt.

Conclusions:

• Glycoproteomic data analysis benefits from using multiple software tools to enhance confidence in results.
• Consideration of both peptide-first and glycan-first analytical approaches may be advantageous.
• The choice of glycan database significantly impacts glycoproteomic search outcomes.