4.5 Article

High-throughput lectin magnetic bead array-coupled tandem mass spectrometry for glycoprotein biomarker discovery

期刊

ELECTROPHORESIS
卷 32, 期 24, 页码 3564-3575

出版社

WILEY
DOI: 10.1002/elps.201100341

关键词

Biomarker discovery; Glycoproteome fractionation; Glycosylation; Magnetic beads; Multilectin affinity

资金

  1. Australian Animal Cancer Foundation
  2. University of Queensland
  3. National Health and Medical Research Council of Australia [569512]
  4. CIHR [MOP-62975]
  5. Ramaciotti Foundation

向作者/读者索取更多资源

Alterations in protein glycosylation occur during development and progression of many diseases, hence glycomics and glycoproteomics have emerged as important tools in glycobiomarker discovery. High-throughput glycan profiling can now be achieved with the recent developments in MS-based techniques. To enable identification and rapid monitoring of glycosylation changes in serum proteins, we developed a semi-automated high-throughput glycoprotein biomarker discovery platform termed lectin magnetic bead array-coupled tandem mass spectrometry (LeMBA-MS) which includes (i) effective single-step serum glycoprotein isolation using a panel of 20 individual lectin-coated magnetic beads in microplate format, (ii) on-bead trypsin digestion, and (iii) nanoLC-MS/MS with lectin exclusion list. With use of appropriate sequence databases, LeMBA-MS can detect glycosylation changes regardless of the species. By spiking known amounts of titrated ovalbumin to a serum sample, we report nanomolar sensitivity, and linearity of response of LeMBA-MS using concanavalin A-coupled beads. Neuraminidase treatment led to reduction of binding to sialic acid-binding lectins. Interestingly, we found that desialylation caused increased binding of haptoglobin and hemopexin to mannose-specific lectins, pointing to the importance of identifying a signature of lectin-binding. High-throughput LeMBA-MS to generate glycosylation signatures will facilitate glycobiomarker discovery. LeMBA can be coupled to down-stream detection platforms for validation, making it a truly versatile platform.

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