Abstract
The current protocols for glycomic analysis of cells often require a large quantity of material (5–20 million cells). In order to analyze the N-glycosylation from small amounts of cells (≤1 million) as obtained from, for example, primary cell lines or cell sorting, and in a higher throughput approach, we set up a robust 96-well format PVDF-membrane based N-glycan release protocol followed by linkage-specific sialic acid stabilization, cleanup, and MALDI-TOF-MS analysis. We further evaluated the influence of PNGase F incubation time on the N-glycan profile.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Drake RR, Ball L (2015) Glycosylation and cancer, vol 126. Advances in cancer research. Elsevier, London, UK. doi:10.1016/S0065-230X(15)00022-6
Maverakis E, Kim K, Shimoda M, Gershwin ME, Patel F, Wilken R, Raychaudhuri S, Ruhaak LR, Lebrilla CB (2015) Glycans in the immune system and The Altered Glycan Theory of Autoimmunity: a critical review. J Autoimmun 57:1–13. doi:10.1016/j.jaut.2014.12.002
Burnina I, Hoyt E, Lynaugh H, Li H, Gong B (2013) A cost-effective plate-based sample preparation for antibody N-glycan analysis. J Chromatogr A 1307:201–206. doi:10.1016/j.chroma.2013.07.104
Reiding KR, Blank D, Kuijper DM, Deelder AM, Wuhrer M (2014) High-throughput profiling of protein N-glycosylation by MALDI-TOF-MS employing linkage-specific sialic acid esterification. Anal Chem 86(12):5784–5793. doi:10.1021/ac500335t
Selman MH, Hemayatkar M, Deelder AM, Wuhrer M (2011) Cotton HILIC SPE microtips for microscale purification and enrichment of glycans and glycopeptides. Anal Chem 83(7):2492–2499. doi:10.1021/ac1027116
Belo AI, van der Sar AM, Tefsen B, van Die I (2013) Galectin-4 reduces migration and metastasis formation of pancreatic cancer cells. PLoS One 8(6), e65957. doi:10.1371/journal.pone.0065957
Reiding KR, Lonardi E, Hipgrave Ederveen AL, Wuhrer M (2016) Ethyl esterification for MALDI-MS analysis of protein glycosylation. Methods Mol Biol 1394:151–162. doi:10.1007/978-1-4939-3341-9_11.
Holst S, Deuss AJM, van Pelt GW, van Vliet SJ, Garcia-Vallejo JJ, Koeleman CAM, Deelder AM, Mesker WE, Tollenaar RA, Rombouts Y, Wuhrer M (2016) N-glycosylation profiling of colorectal cancer cell lines reveals association of fucosylation with differentiation and CDX1/villin mRNA expression. Mol Cell Proteomics 15(1):124–140. doi:10.1074/mcp.M115.051235
Jansen BC, Reiding KR, Bondt A, Hipgrave Ederveen AL, Palmblad M, Falck D, Wuhrer M (2015) MassyTools: a high throughput targeted data processing tool for relative quantitation and quality control developed for glycomic and glycoproteomic MALDI-MS. J Proteome Res 14(12):5088–5098
Acknowledgements
We thank B. C. Jansen and K. R. Reiding for in-house developed Python scripts and data analysis support. This work was supported by the European Union (Seventh Framework Programme HighGlycan project, grant number: 278535).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Science+Business Media New York
About this protocol
Cite this protocol
Holst, S. et al. (2017). High-Throughput and High-Sensitivity Mass Spectrometry-Based N-Glycomics of Mammalian Cells. In: Lauc, G., Wuhrer, M. (eds) High-Throughput Glycomics and Glycoproteomics. Methods in Molecular Biology, vol 1503. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-6493-2_14
Download citation
DOI: https://doi.org/10.1007/978-1-4939-6493-2_14
Published:
Publisher Name: Humana Press, New York, NY
Print ISBN: 978-1-4939-6491-8
Online ISBN: 978-1-4939-6493-2
eBook Packages: Springer Protocols