Department of Chemistry, Fudan University, Shanghai, China; Institutes of Biomedical Sciences, Fudan University, Shanghai, China; Shanghai Institute for food and drug control, Shanghai, China.
Proteomics. 2014 Jan;14(1):78-86. doi: 10.1002/pmic.201200544. Epub 2013 Dec 11.
Lectin array is becoming important in profiling targeted glycan/glycoprotein, but weak interaction between lectin and glycan causes low sensitivity of the approach. This study aims to develop a bead-based lectin array for improving the sensitivity of glycosylation profiling. Lectins are chemically coupled to fluorescent dye coated microbeads, and glycan-lectin recognition is carried out three dimensionally. The performance of this platform was evaluated, and the LOD of lectin Ricinus communis agglutinin 120 (RCA120) was 50 pg/mL (1 pM) of asialofetuin, providing the bead-based lectin microarray with the highest sensitivity among the reported lectin microarrays. Furthermore, multiplexed assay was performed, which allowed the simultaneous detection of multiple carbohydrate epitopes in a single reaction vessel. The glycosylation patterns of hepatocellular carcinoma associated immunoglobulin G were analyzed, and increased (α-1,6) core fucosylation and (α-2,6) sialylation patterns were observed, which may provide significant clinical evidence for disease diagnosis.
凝集素微阵列在靶向糖基/糖蛋白分析中变得越来越重要,但凝集素与糖基之间的弱相互作用导致该方法的灵敏度较低。本研究旨在开发基于微球的凝集素微阵列以提高糖基化分析的灵敏度。凝集素被化学偶联到荧光染料包被的微球上,并在三维空间中进行糖-凝集素识别。评估了该平台的性能,蓖麻凝集素 120(RCA120)的检测限为 50 pg/mL(1 pM)的无唾液胎球蛋白,这使得基于微球的凝集素微阵列在已报道的凝集素微阵列中具有最高的灵敏度。此外,还进行了多重分析,可以在单个反应容器中同时检测多个碳水化合物表位。分析了肝癌相关免疫球蛋白 G 的糖基化模式,观察到(α-1,6)核心岩藻糖基化和(α-2,6)唾液酸化模式增加,这可能为疾病诊断提供重要的临床证据。