Moh Edward S X, Thaysen-Andersen Morten, Packer Nicolle H
Department of Chemistry and Biomolecular Sciences, Macquarie University, Sydney, Australia.
Proteomics Clin Appl. 2015 Apr;9(3-4):368-82. doi: 10.1002/prca.201400184. Epub 2015 Mar 24.
The glycome of a diagnostic biological material such as blood, urine, saliva, tissue, or cell cultures comprises of a vast array of structurally distinct glycans attached to the protein complement. Aberrant glycan structures and distributions result from changes in specific glycosyltransferase activities and have different biological significance, making proper quantitation of glycans highly important. In this review, common HPLC/CE and LC-MS/MS-based methods for glycomics, their advantages and disadvantages, will be discussed with respect to the main quantitative strategies. With the increasing interest in absolute quantitation for glycomics, we discuss absolute and relative glycome quantitation and how it affects the resulting conclusions drawn from glycomics studies. We argue that while absolute quantitation of glycomes may be attractive for some areas of clinical glycomics, relative quantitation of glycans remains the most informative and time/cost-effective method to obtain biological insight into the regulation of the cellular glycosylation machinery and the synthesis of the resultant glycan structures in most research questions due to the enzymatic relatedness of the biosynthesized glycans. Recent developments in multiplexing of glycomes by the introduction of stable isotopic labeling of glycans show promise for providing another level of information to the existing benefits of relative quantitation.
诸如血液、尿液、唾液、组织或细胞培养物等诊断性生物材料的糖组,由附着在蛋白质组分上的大量结构各异的聚糖组成。特定糖基转移酶活性的变化会导致聚糖结构和分布异常,且具有不同的生物学意义,因此对聚糖进行准确的定量分析非常重要。在本综述中,将针对主要的定量策略,讨论基于高效液相色谱/毛细管电泳(HPLC/CE)和液相色谱-串联质谱(LC-MS/MS)的常见糖组学方法及其优缺点。随着对糖组学绝对定量的兴趣日益增加,我们将讨论糖组的绝对定量和相对定量,以及它如何影响从糖组学研究中得出的结论。我们认为,虽然糖组的绝对定量在临床糖组学的某些领域可能具有吸引力,但由于生物合成聚糖的酶相关性,在大多数研究问题中,聚糖的相对定量仍然是获得有关细胞糖基化机制调控和所得聚糖结构合成生物学见解的最具信息量且省时/经济高效的方法。通过引入聚糖的稳定同位素标记实现糖组多重分析的最新进展,有望为相对定量的现有优势提供另一层面的信息。