Bioinspired Saccharide–Saccharide Interaction and Smart Polymer for Specific Enrichment of Sialylated Glycopeptides

详细信息    查看全文

• 作者：Xiuling Li ; Yuting Xiong ; Guangyan Qing ; Ge Jiang ; Xianqin Li ; Taolei Sun ; Xinmiao Liang
• 刊名：ACS Applied Materials & Interfaces
• 出版年：2016
• 出版时间：June 1, 2016
• 年：2016
• 卷：8
• 期：21
• 页码：13294-13302
• 全文大小：637K
• 年卷期：0
• ISSN：1944-8252

文摘

Abnormal sialylation of proteins is highly associated with many major diseases, such as cancers and neurodegenerative diseases. However, this study is challenging owing to the difficulty in enriching trace sialylated glycopeptides (SGs) from highly complex biosamples. The key to solving this problem relies strongly on the design of novel SG receptors to capture the sialic acid (SA) moieties in a specific and tunable manner. Inspired by the saccharide–saccharide interactions in life systems, here we introduce saccharide-based SG receptors into this study. Allose (a monosaccharide) displays specific and pH-sensitive binding toward SAs. Integrating allose units into a polyacrylamide chain generates a saccharide-responsive smart copolymer (SRSC). Such design significantly improves the selectivity of SA binding; meanwhile, this binding can be intelligently triggered in a large extent by solution polarity and pH. As a result, SRSC exhibits high-performance enrichment capacity toward SGs, even under 500-fold interference of bovine serum albumins digests, which is notably higher than conventional materials. In real biosamples of HeLa cell lysates, 180 sialylated glycosylation sites (SGSs) have been identified using SRSC. This is apparently superior to those obtained by SA-binding lectins including WGA (18 SGSs) and SNA (22 SGSs). Furthermore, lactose displays good chemoselectivity toward diverse disaccharides, which indicated the good potential of lactose-based material in glycan discrimination. Subsequently, the lactose-based SRSC facilitates the stepwise isolation of O-linked or N-linked SGs with the same peptide sequence but varied glycans by CH₃CN/H₂O gradients. This study opens a new avenue for next generation of glycopeptide enrichment materials.