应用凝集素芯片检测非小细胞肺癌细胞膜表面糖链表达

Glycoprofiling of NSCLC Cell Surface with Lectin Micoarray

目的应用凝集素芯片检测非小细胞肺癌细胞系A549和H460细胞膜表面糖链表达类型。方法用胶原酶Ⅱ消化非小细胞肺癌细胞系,对提取的细胞进行荧光标记,利用凝集素对糖链的特异亲和性捕获细胞,激光扫描仪检测细胞膜表面糖链表达。结果腺癌A549和大细胞肺癌H460除LTL和DBA这两个凝集素位点没有捕获到细胞外,其余各点均捕获到细胞。结论根据凝集素的亲和特异性表明,非小细胞肺癌细胞膜表面糖链类型主要有:唾液酸、乙酰葡萄糖、乙酰半乳糖、甘露糖和半乳糖糖链,为建立癌症细胞膜表面糖链表达谱和寻找肺癌分子靶向治疗的药物作用位点提供理论依据。

Objective To detect the distribution pattern of glycoconjugates on the surface of non-small cell lung carcinoma cells （A549, G460） by lectin microarray. Methods The NSCLC cells were digested with collagenase Ⅱ. Cells were extracted and labeled with fluorescence and were caught by the distinctive glycan-binding specificities of lectins printed on array. Glycan profiling of cell membrane was obtained by the laser fluorescence scanner. Results Except for LTL and DBA, all the other sites presented lectin binding signals. Conclusion According to the distinctive binding specificities of lectins, the characterization of surface sugars in NSCLC is Sialic acid, GlcNAc, GalNAc, Mannose and Galactose. The technique provides a novel strategy for profihng global changes of glycome on cancer cells surface and searching drug sites of molecular targeted therapy of lung cancer.