Plasma glycans were analyzed in 1008 individuals to evaluate variability and heritability, as well as the main environmental determinants that affect glycan structures. By combining HPLC analysis of fluorescently labeled glycans with sialidase digestion, glycans were separated into 33 chromatographic peaks and quantified. A high level of variability was observed with the median ratio of minimal to maximal values of 6.17 and significant age-and gender-specific differences. Heritability estimates for individual glycans varied widely, ranging from very low to very high. Glycome-wide environmental determinants were also detected with statistically significant effects of different variables including diet, smoking and cholesterol levels.

Glycosylation is a diverse but critically important post-translational modification that modulates the physical, chemical and biological properties of proteins. Alterations in glycosylation have been noted in a number of diseases including cancer. The discovery of alterations in the glycosylation of serum glycoproteins which may offer potential as biomarkers is attracting considerable research interest. In the current study, the significant improvements in efficiency, selectivity, and analysis speed offered by ultra performance liquid chromatography (UPLC) profiling of fluorescently labeled N-linked oligosaccharides on a recently introduced sub-2 μm hydrophilic interaction (HILIC) based stationary phase are demonstrated to identify cancer associated alterations in the serum N-glycome of patients bearing stomach adenocarcinoma. The contribution of the glycosylation present on four highly abundant serum proteins namely, IgG, haptoglobin, transferrin, and α1-acid glycoprotein was evaluated. Alterations in the glycosylation present on these four proteins isolated from the pathologically staged cancer serum using either affinity purification or two-dimensional electrophoresis were then investigated as possible markers for stomach cancer progression. In agreement with previous reports, an increase in sialylation was observed on haptoglobin, transferrin, and α1-acid glycoprotein in the cancerous state. Increased levels of core fucosylated biantennary glycans and decreased levels of monogalactosylated core fucosylated biantennary glycans were present on IgG with increasing disease progression. The speed and selectivity offered by the sub-2 μm HILIC phase make it ideal for rapid yet highly efficient separation of complex oligosaccharide mixtures such as that present in the serum N-glycome.

Prostate cancer is the most common solid organ malignancy affecting men in the United States and Western Europe. Currently, the main diagnostic tools used to look for evidence of prostate cancer include physical examination using digital rectal exam (DRE), serum concentrations of prostate specific antigen (PSA) and biopsy. However, due to the low specificity of PSA in differentiating prostate cancer from other benign conditions, many patients undergo overtreatment for their disease. There is an urgent need for additional markers to improve the diagnostic accuracy for early stages of prostate cancer. Proteomic analysis of serum has the potential to identify such markers. An initial discovery study has been completed using 12 serum samples from patients with different grades of prostate cancer (Gleason score 5 and 7) undergoing radical prostatectomy. Serum samples were subjected to immunoaffinity depletion and protein expression analysis using 2D-DIGE. Image analysis isolated 63 spots that displayed differential expression between the Gleason score 5 and 7 cohorts (p < 0.05), 13 of which were identified as statistically significant using two independent image analysis packages. Identification of differentially expressed spots was carried out using LC-MS/MS. Because of their functional relevance and potential significance with regards to prostate cancer progression, two of these proteins, pigment epithelium-derived factor (PEDF) and zinc-alpha2-glycoprotein (ZAG), have undergone extensive validation in serum and tissue samples from the original cohort and also from a larger independent cohort of patients. These results have indicated that PEDF is a more accurate predictor of early stage prostate cancer. We are confident that proteomics-based approaches have the potential to provide more insight into the underlying molecular mechanisms of the disease and also hold great promise for biomarker discovery in prostate cancer.

Signalling cascades are regulated both positively and negatively by tyrosine phosphorylation. Integrin mediated platelet adhesion triggers signal transduction cascades involving translocation of proteins and tyrosine phosphorylation events, ultimately causing large signalling complexes to be assembled. In resting platelets, a small number of phosphorylated proteins are evident with molecular mass of 50-62 kDa and 120-130 kDa. In thrombin activated human platelets, however, there is a large increase in the number of tyrosine phosphorylated signalling proteins detected. These proteins include pCas (130 kDa), FAK (125 kDa), PI(3)k (85 kDa) and src (85 kDa). However, it is unlikely that this list of proteins represents all the dynamic changes that occur after platelet activation and it is understood that more proteins remain unidentified. In this study, we propose a method for the isolation of the phosphotyrosine proteome from both resting and thrombin activated human platelets. All the dynamic phosphotyrosine events that occur in the platelet after thrombin activation were isolated by immunoprecipitation, using the monoclonal antibody 4G10, allowing us to obtain higher concentrations of relatively low abundant proteins. The resulting phosphotyrosine proteomes were separated by two-dimensional gel electrophoresis. Sixty-seven proteins were reproducibly found to be unique in the thrombin activated platelet proteome when compared to resting platelets. We have positively identified ten of these proteins by Western blotting and matrix-assisted laser desorption/ionisation-time of flight mass spectrometry and these include FAK, Syk, ALK-4, P2X6 and MAPK kinase kinase. This proteomics approach to understanding the signalling events following platelet activation may elucidate potential drug targets for the treatment of coronary thrombosis.