IsoTaG is a mass-independent chemical glycoproteomics platform that helps to address unique challenges of the global characterization of the intact glycoproteome. In this approach a unique isotopic signature is embedded exclusively into the glycopeptides and it serves as a computationally recognizable full-scan MS reporter. A computational algorithm, termed isotopic signature transfer and mass pattern prediction (IsoStamp), for the detection of recoded species in full-scan mass spectra, was also developed by the Carolyn Bertozzi group.

Figure 1 Metabolic labeling with a chemically functionalized glycan chemical tagging and enrichment using an isotopic recoding affinity probe