Monitoring of post-mortem changes of saliva N-glycosylation by nano LC/MS.

The estimation of post-mortem interval (PMI) is a crucial part for investigations of crime and untimely deaths in forensic science. However, standard methods of PMI estimation are easily confounded by extenuating circumstances and/or environmental factors. Therefore, a panel of PMI markers obtained from a more acceptable and accurate method is necessary to definitely determine time of death. Saliva, one of the vital fluids encountered at crime scenes, contains various glycoproteins that are highly affected by biochemical environment. Here, we investigated saliva N-glycans between live and dead rats to determine the alteration of N-glycans using an animal model system because of the limitation of saliva collection from recently deceased humans. Rat saliva samples were collected both before and after death. N-Glycans were enzymatically released by PNGase F without any glycoprotein extraction. Released native glycans were purified and enriched by PGC-SPE. About 100 N-glycans were identified, profiled, and structurally elucidated by nano LC/MS and tandem MS. Sialylated N-glycans were exclusively present in abundance in live rat saliva whereas non-sialylated N-glycans including LacdiNAc disaccharides were detected in high level following death. Through in-depth investigations using quantitative comparison and statistical analysis, 14 N-glycans that significantly changed after death were identified as the potential marker candidates for PMI estimation. To the best of our knowledge, this is the first study to monitor the post-mortem changes of saliva glycosylation, with obvious forensic applications.

Isomer-specific LC/MS and LC/MS/MS profiling of the mouse serum N-glycome revealing a number of novel sialylated N-glycans.

Mice are the premier mammalian models for studies of human physiology and disease, bearing extensive biological similarity to humans with far fewer ethical, economic, or logistic complications. To facilitate glycomic studies based on the mouse model, we comprehensively profiled the mouse serum N-glycome using isomer-specific nano-LC/MS and -LC/MS/MS. N-Glycans were identified by accurate mass MS and structurally elucidated by MS/MS. Porous graphitized carbon nano-LC was able to separate out nearly 300 N-linked glycan compounds (including isomers) from just over 100 distinct N-linked glycan compositions. Additional MS/MS structural analysis was performed on a number of novel N-glycans, revealing the structural characteristics of modifications such as dehydration, O-acetylation, and lactylation. Experimental findings were combined with known glycobiology to generate a theoretical library of all biologically possible mouse serum N-glycan compositions. The library may be used for automated identification of complex mixtures of mouse N-glycans, with possible applications to a wide range of mouse-related research endeavors, including pharmaceutical drug development and biomarker discovery.