糖蛋白组学
糖生物学
化学
聚糖
碎片(计算)
瓶颈
蛋白质组学
糖基化
计算生物学
数据科学
计算机科学
糖蛋白
生物化学
生物
基因
嵌入式系统
操作系统
摘要
Abstract Glycosylation is an incredibly common and diverse post‐translational modification that contributes widely to cellular health and disease. Mass spectrometry is the premier technique to study glycoproteins; however, glycoproteomics has lagged behind traditional proteomics due to the challenges associated with studying glycosylation. For instance, glycans dissociate by collision‐based fragmentation, thus necessitating electron‐based fragmentation for site‐localization. The vast glycan heterogeneity leads to lower overall abundance of each glycopeptide, and often, ion suppression is observed. One of the biggest issues facing glycoproteomics is the lack of reliable software for analysis, which necessitates manual validation and serves as a massive bottleneck in data processing. Here, I will discuss each of these challenges and some ways in which the field is attempting to address them, along with perspectives on how I believe we should move forward.
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