Department of Nephrology, Fujita Health University School of Medicine , Toyoake, Japan.
Department of Biomedical Molecular Sciences, Fujita Health University School of Medicine , Toyoake, Japan.
Expert Rev Proteomics. 2020 Apr;17(4):275-296. doi: 10.1080/14789450.2020.1769479. Epub 2020 May 28.
Protein glycosylation influences characteristics such as folding, stability, protein interactions, and solubility. Therefore, glycan moieties of therapeutic proteins and proteins that are likely associated with disease pathogenesis should be analyzed in-depth, including glycan heterogeneity and modification sites. Recent advances in analytical methods and instrumentation have enabled comprehensive characterization of highly complex glycosylated proteins.
The following aspects should be considered when analyzing glycosylated proteins: sample preparation, chromatographic separation, mass spectrometry (MS) and fragmentation methods, and bioinformatics, such as software solutions for data analyses. Notably, analysis of glycoproteins with heavily sialylated glycans or multiple glycosylation sites requires special considerations. Here, we discuss recent methodological advances in MS that provide detailed characterization of heterogeneous glycoproteins.
As characterization of complex glycosylated proteins is still analytically challenging, the function or pathophysiological significance of these proteins is not fully understood. To reproducibly produce desired forms of therapeutic glycoproteins or to fully elucidate disease-specific patterns of protein glycosylation, a highly reproducible and robust analytical platform(s) should be established. In addition to advances in MS instrumentation, optimization of analytical and bioinformatics methods and utilization of glycoprotein/glycopeptide standards is desirable. Ultimately, we envision that an automated high-throughput MS analysis will provide additional power to clinical studies and precision medicine.
蛋白质糖基化会影响折叠、稳定性、蛋白质相互作用和溶解度等特性。因此,应深入分析治疗性蛋白和可能与疾病发病机制相关的蛋白的聚糖部分,包括聚糖异质性和修饰位点。分析方法和仪器的最新进展使对高度复杂的糖基化蛋白进行全面表征成为可能。
分析糖基化蛋白时应考虑以下几个方面:样品制备、色谱分离、质谱(MS)和碎片化方法以及生物信息学,例如数据分析的软件解决方案。值得注意的是,分析高度唾液酸化糖链或具有多个糖基化位点的糖蛋白需要特别考虑。在这里,我们讨论了 MS 中最近的方法学进展,这些进展为异质糖蛋白提供了详细的特征描述。
由于对复杂糖基化蛋白的表征仍然具有分析挑战性,因此这些蛋白的功能或病理生理学意义尚未完全了解。为了可重现地生产所需形式的治疗性糖蛋白,或充分阐明疾病特异性的蛋白糖基化模式,应建立一个高度可重现和稳健的分析平台。除了 MS 仪器的进步之外,还需要优化分析和生物信息学方法并利用糖蛋白/糖肽标准品。最终,我们设想自动化高通量 MS 分析将为临床研究和精准医学提供更多的支持。