Journal article
Community evaluation of glycoproteomics informatics solutions reveals high-performance search strategies for serum glycopeptide analysis
R Kawahara, A Chernykh, K Alagesan, M Bern, W Cao, RJ Chalkley, K Cheng, MS Choo, N Edwards, R Goldman, M Hoffmann, Y Hu, Y Huang, JY Kim, D Kletter, B Liquet, M Liu, Y Mechref, B Meng, S Neelamegham Show all
Nature Methods | Published : 2021
Abstract
Glycoproteomics is a powerful yet analytically challenging research tool. Software packages aiding the interpretation of complex glycopeptide tandem mass spectra have appeared, but their relative performance remains untested. Conducted through the HUPO Human Glycoproteomics Initiative, this community study, comprising both developers and users of glycoproteomics software, evaluates solutions for system-wide glycopeptide analysis. The same mass spectrometrybased glycoproteomics datasets from human serum were shared with participants and the relative team performance for N- and O-glycopeptide data analysis was comprehensively established by orthogonal performance tests. Although the results w..
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Awarded by ARC Centre for Nanoscale BioPhotonics
Funding Acknowledgements
Rosa Viner and Sergei Snovida (Thermo Fisher Scientific) are thanked for providing high-quality LC-MS/MS data. Krishnatej Nishtala is thanked for aiding the data analysis. Catherine Hayes, Julien Mariethoz and Frederique Lisacek are thanked for informatics assistance. RK was supported by an Early Career Fellowship (Cancer Institute NSW ECF181259). DK was supported by an Australian Research Council Future Fellowship (FT160100344). GP was funded by FAPESP (no 2018/15549-1). MT-A was supported by a Macquarie University Safety Net Grant. DK and NHP were supported by the Australian Research Council Centre of Excellence in Nanoscale Biophotonics (CE140100003).