Integrated Microfluidic Lectin Barcode Platform for High-Performance Focused Glycomic Profiling

被引:39
|
作者
Shang, Yuqin [1 ]
Zeng, Yun [2 ]
Zeng, Yong [1 ,3 ]
机构
[1] Univ Kansas, Dept Chem, Lawrence, KS 66045 USA
[2] Sichuan Agr Univ, Coll Water Resource & Hydropower, Yaan 625014, Sichuan, Peoples R China
[3] Univ Kansas, Ctr Canc, Kansas City, KS 66160 USA
来源
SCIENTIFIC REPORTS | 2016年 / 6卷
基金
美国国家卫生研究院;
关键词
GLYCOSYLATION ANALYSIS; PROTEIN GLYCOSYLATION; OVARIAN-CANCER; CA125; ANTIGEN; N-GLYCANS; SERUM; MICROARRAY; IDENTIFICATION; STRATEGY; BINDING;
D O I
10.1038/srep20297
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Protein glycosylation is one of the key processes that play essential roles in biological functions and dysfunctions. However, progress in glycomics has considerably lagged behind genomics and proteomics, due in part to the enormous challenges in analysis of glycans. Here we present a new integrated and automated microfluidic lectin barcode platform to substantially improve the performance of lectin array for focused glycomic profiling. The chip design and flow control were optimized to promote the lectin-glycan binding kinetics and speed of lectin microarray. Moreover, we established an on-chip lectin assay which employs a very simple blocking method to effectively suppress the undesired background due to lectin binding of antibodies. Using this technology, we demonstrated focused differential profiling of tissue-specific glycosylation changes of a biomarker, CA125 protein purified from ovarian cancer cell line and different tissues from ovarian cancer patients in a fast, reproducible, and high-throughput fashion. Highly sensitive CA125 detection was also demonstrated with a detection limit much lower than the clinical cutoff value for cancer diagnosis. This microfluidic platform holds the potential to integrate with sample preparation functions to construct a fully integrated "sample-to-answer" microsystem for focused differential glycomic analysis. Thus, our technology should present a powerful tool in support of rapid advance in glycobiology and glycobiomarker development.
引用
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页数:11
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