A comprehensive glycan map was constructed for the top eight abundant glycoproteins in plasma using both specific and nonspecific enzyme digestions followed by nano liquid chromatography (LC)-chip/quadrupole time-of-flight mass spectrometry (MS) analysis. Glycopeptides were identified using an in-house software tool, GPFinder. A sensitive and reproducible multiple reaction monitoring (MRM) technique on a triple quadrupole MS was developed and applied to quantify immunoglobulins G, A, M, and their site-specific glycans simultaneously and directly from human serum/plasma without protein enrichments. A total of 64 glycopeptides and 15 peptides were monitored for IgG, IgA, and IgM in a 20 min ultra high performance (UP)LC gradient. The absolute...
Glycoproteomic data are often very complex, reflecting the high structural diversity of peptide and ...
Mass spectrometry (MS) of glycoproteins is an emerging field in proteomics, poised to meet the techn...
Human serum is a great source of potential protein disease biomarkers because of how blood interacts...
A comprehensive glycan map was constructed for the top eight abundant glycoproteins in plasma using ...
Studies aimed toward glycan biomarker discovery have focused on glycan characterization by the globa...
Analysis of serum protein glycovariants has the potential to identify new biomarkers of human diseas...
Protein glycosylation fingerprints are widely recognized as potential markers for disease states, an...
Protein glycosylation fingerprints are widely recognized as potential markers for disease states, an...
It is expected that the composition of the serum proteome can provide valuable information about the...
Immunoglobulin (Ig) glycosylation is recognized for its influence on Ig turnover and effector functi...
We demonstrate herein a method for quantifying glycosylation changes on glycoproteins. This novel me...
Protein glycosylation accounts for one of the most complex protein modifications, of which aberrant ...
Contains fulltext : 167798.pdf (publisher's version ) (Closed access)Optimal glyco...
Protein glycosylation is one of the most common protein modifications, and the quantitative analysis...
We present a robust, fully automatable technology platform that includes computer software for the d...
Glycoproteomic data are often very complex, reflecting the high structural diversity of peptide and ...
Mass spectrometry (MS) of glycoproteins is an emerging field in proteomics, poised to meet the techn...
Human serum is a great source of potential protein disease biomarkers because of how blood interacts...
A comprehensive glycan map was constructed for the top eight abundant glycoproteins in plasma using ...
Studies aimed toward glycan biomarker discovery have focused on glycan characterization by the globa...
Analysis of serum protein glycovariants has the potential to identify new biomarkers of human diseas...
Protein glycosylation fingerprints are widely recognized as potential markers for disease states, an...
Protein glycosylation fingerprints are widely recognized as potential markers for disease states, an...
It is expected that the composition of the serum proteome can provide valuable information about the...
Immunoglobulin (Ig) glycosylation is recognized for its influence on Ig turnover and effector functi...
We demonstrate herein a method for quantifying glycosylation changes on glycoproteins. This novel me...
Protein glycosylation accounts for one of the most complex protein modifications, of which aberrant ...
Contains fulltext : 167798.pdf (publisher's version ) (Closed access)Optimal glyco...
Protein glycosylation is one of the most common protein modifications, and the quantitative analysis...
We present a robust, fully automatable technology platform that includes computer software for the d...
Glycoproteomic data are often very complex, reflecting the high structural diversity of peptide and ...
Mass spectrometry (MS) of glycoproteins is an emerging field in proteomics, poised to meet the techn...
Human serum is a great source of potential protein disease biomarkers because of how blood interacts...