Semiautomated glycoproteomics data analysis workflow for maximized glycopeptide identification and reliable quantification.

ABSTRACT: Glycoproteomic data are often very complex, reflecting the high structural diversity of peptide and glycan portions. The use of glycopeptide-centered glycoproteomics by mass spectrometry is rapidly evolving in many research areas, leading to a demand in reliable data analysis tools. In recent years, several bioinformatic tools were developed to facilitate and improve both the identification and quantification of glycopeptides. Here, a selection of these tools was combined and evaluated with the aim of establishing a robust glycopeptide detection and quantification workflow targeting enriched glycoproteins. For this purpose, a tryptic digest from affinity-purified immunoglobulins G and A was analyzed on a nano-reversed-phase liquid chromatography-tandem mass spectrometry platform with a hig

SUBMITTER: Lippold S 

PROVIDER: S-EPMC7736696 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature