Why does open searching improve glycopeptide identification in bacterial proteomics?

Open searching identifies unknown modifications by detecting frequent delta masses on peptides, enabling glycopeptide discovery without prior glycan knowledge. This increases identification rates significantly, as shown by up to 363% more glycopeptide/PSMs in A. baumannii strain D1279779.

How does isolating glycan-associated ions support target validation in antimicrobial discovery?

Glycan-associated ions help confirm glycopeptide identities and map modification sites, clarifying glycosylation patterns linked to virulence. This supports mechanistic de-risking by linking glycan expression to strain-specific pathogenicity.

What quantitative measurements enable comparison of glycosylation between bacterial strains?

Delta mass measurements (e.g., 648.25, 692.28 Da in AB307-0294) and glycan-specific fragment ions allow relative quantification of glycan compositions across strains. These outputs inform strain selection for target validation based on glycosylation consistency.

Why do replication requirements matter for cross-functional collaboration in glycoproteomics?

Reproducible glycopeptide identification across runs and strains ensures data reliability for target selection and biomarker discovery. Standardized workflows like ZIC-HILIC enrichment and open searching parameters enable consistent results between teams.

What statistical analysis capabilities are required before implementing open searching for glycopeptide discovery?

Users must adjust precursor mass tolerance (e.g., to 2000 Da) to detect large glycan modifications and validate glycan-associated ions in MSFragger. Proper decoy/contaminant database inclusion and FDR filtering are essential for confident glycopeptide assignment.

Acinetobacter baumannii O-bağlantılı Glikopeptitlerlerin Tanımlanması için Açık Arama Tabanlı Yaklaşımların Uygulanması

1.8K görüntüleme

5 kez atıf

08:37 dk

2 Kasım 2021

10.3791/63242-v

2 Kasım 2021

1.8K görüntüleme

Jessica M. Lewis^*¹ , Pauline M. L. Coulon^*¹ , Taylor A. McDaniels^*¹ , Nichollas E. Scott¹

¹Department of Microbiology and Immunology, Peter Doherty Institute for Infection and Immunity, The University of Melbourne

^* These authors contributed equally

Açık arama, daha önce bilinmeyen glikan bileşimleriyle süslenmiş glikopeptidlerin tanımlanmasını sağlar. Bu makalede, Acinetobacter baumannii'yi model olarak kullanan bakteriyel örnekler için açık arama ve müteakip glikan odaklı glikopeptid aramaları yapmak için kolaylaştırılmış bir yaklaşım sunulmuştur.