期刊
ANALYTICAL AND BIOANALYTICAL CHEMISTRY
卷 413, 期 28, 页码 6929-6939出版社
SPRINGER HEIDELBERG
DOI: 10.1007/s00216-021-03659-z
关键词
Glycosylated PD-L1; Metabolic glycan labeling; Proximity ligation assay; Rolling circle amplification; Accurate imaging analysis
资金
- National Natural Science Foundation of China [81672112, 81972025]
This study presents a proximity ligation assay mediated rolling circle amplification (PLA-RCA) strategy for amplified imaging of glycosylated PD-L1 in situ. The feasibility of the strategy has been validated by visualizing PD-L1 glycosylation in different cancer cells and monitoring the variation of PD-L1 glycosylation during drug treatment. This work offers a useful alternative to track protein-specific glycosylation and potentially advances the investigation of the dynamic glycan state associated with the disease process.
Glycosylated PD-L1 is a more reliable biomarker for immune checkpoint therapy and plays important roles in tumor immunity. Glycosylation of PD-L1 hinders antibody-based detection, which is partially responsible for the inconsistency between PD-L1 immunohistochemical results and therapeutic treatment response. Herein, we present a proximity ligation assay mediated rolling circle amplification (PLA-RCA) strategy for amplified imaging of glycosylated PD-L1 in situ. The strategy relies on a pair of DNA probes: an aptamer probe to specifically recognize cellular surface protein PD-L1 and a glycan conversion (GC) probe for metabolic glycan labeling. Upon proximity ligation of sequence binding to the two probes, the proximity ligation-triggered RCA occurs. The feasibility of the as-proposed strategy has been validated as it realized the visualization of PD-L1 glycosylation in different cancer cells and the monitoring of the variation of PD-L1 glycosylation during drug treatment. Thus, we envision the present work offers a useful alternative to track protein-specific glycosylation and potentially advances the investigation of the dynamic glycan state associated with the disease process.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据