Identification of N-glycan serum markers associated with hepatocellular carcinoma from mass spectrometry data

Recent advances in the MS analysis of glycoproteins: Capillary and microfluidic workflows

Recent developments in bioanalytical instrumentation, MS detection, and computational data analysis approaches have provided researchers with capabilities for interrogating the complex cellular glycoproteome, to help gain a better insight into the cellular and physiological processes that are associated with a disease and to facilitate the efforts centered on identifying disease-specific biomarkers. This review describes the progress achieved in the characterization of protein glycosylation by using advanced capillary and microfluidic MS technologies. The major steps involved in large-scale glycoproteomic analysis approaches are discussed, with special emphasis given to workflows that have evolved around complex MS detection functions. In addition, quantitative analysis strategies are assessed, and the bioinformatics aspects of glycoproteomic data processing are summarized. The developments in commercial and custom fabricated microfluidic front-end platforms to ESI- and MALDI-MS instrumentation, for addressing major challenges in carbohydrate analysis such as sensitivity, throughput, and ability to perform structural characterization, are further evaluated and illustrated with relevant examples.

Glycomic analysis of sialic acid linkages in glycans derived from blood serum glycoproteins

A number of alterations to the normal glycomic profile have been previously described for a number of diseases and disorders, thus underscoring the medical importance of studying the glycans associated with proteins present in biological samples. An important alteration in cancer progression is an increased level of alpha2,6-sialylation, which aids in increasing the metastatic potential of tumor cells. Here we report a glycomic method that selectively amidates alpha2,6-linked sialic acids, while those that are alpha2,3-linked undergo spontaneous lactonization. Following subsequent permethylation, MALDI-TOF MS analysis revealed that many sialylated glycans present on glycoproteins found in blood serum featured increased levels of alpha2,6-sialylation in breast cancer samples. On the basis of the altered ratios of alpha2,3-linked to alpha2,6-linked sialic acids, many of these glycans became diagnostically relevant when they did not act as such indicators when based on traditional glycomic profiling alone.