Supporting Information
Raw data were made available in MassIVE: https://doi.org/doi:10.25345/C5JJ00.
| Supporting Information File 1: Supporting tables. | ||
| Format: XLSX | Size: 2.0 MB | Download |
| Supporting Information File 2: Supporting figures. | ||
| Format: PDF | Size: 2.6 MB | Download |
| Supporting Information File 3: Python script connecting the GlycopeptideGraphMS output and LaCyTools input. | ||
| Format: IPYNB | Size: 3.6 KB | Download |
| Supporting Information File 4: LaCyTools analyte list. | ||
| Format: REF | Size: 2.3 KB | Download |
| Supporting Information File 5: Analyte search list. | ||
| Format: CSV | Size: 271 B | Download |
| Supporting Information File 6: Byonic N-glycan list. | ||
| Format: TXT | Size: 11.3 KB | Download |
| Supporting Information File 7: Byonic O-glycan list. | ||
| Format: TXT | Size: 3.4 KB | Download |
Cite the Following Article
Semiautomated glycoproteomics data analysis workflow for maximized glycopeptide identification and reliable quantification
Steffen Lippold, Arnoud H. de Ru, Jan Nouta, Peter A. van Veelen, Magnus Palmblad, Manfred Wuhrer and Noortje de Haan
Beilstein J. Org. Chem. 2020, 16, 3038–3051.
https://doi.org/10.3762/bjoc.16.253
How to Cite
Lippold, S.; de Ru, A. H.; Nouta, J.; van Veelen, P. A.; Palmblad, M.; Wuhrer, M.; de Haan, N. Beilstein J. Org. Chem. 2020, 16, 3038–3051. doi:10.3762/bjoc.16.253
Download Citation
Citation data can be downloaded as file using the "Download" button or used for copy/paste from the text window
below.
Citation data in RIS format can be imported by all major citation management software, including EndNote,
ProCite, RefWorks, and Zotero.
Presentation Graphic
| Picture with graphical abstract, title and authors for social media postings and presentations. | ||
| Format: PNG | Size: 9.6 MB | Download |
Citations to This Article
Up to 20 of the most recent references are displayed here.
Scholarly Works
- Clerc, F.; Reiding, K. R.; de Haan, N.; Koeleman, C. A. M.; Hipgrave Ederveen, A. L.; Manetti, N.; ; Dotz, V.; Annese, V.; Wuhrer, M. Immunoglobulin A Glycosylation Differs between Crohn's Disease and Ulcerative Colitis. Journal of proteome research 2023, 22, 3213–3224. doi:10.1021/acs.jproteome.3c00260
- van der Burgt, Y.; Wuhrer, M. The Role of Clinical Glyco(proteo)mics in Precision Medicine. Molecular & cellular proteomics : MCP 2023, 22, 100565. doi:10.1016/j.mcpro.2023.100565
- Wang, W.; Wang, W.; Lageveen‐Kammeijer, G. S. doi:10.1002/9783527833092.ch13
- Bojar, D.; Lisacek, F. Glycoinformatics in the Artificial Intelligence Era. Chemical reviews 2022, 122, 15971–15988. doi:10.1021/acs.chemrev.2c00110
- Aoki-Kinoshita, K. F.; Lisacek, F.; Karlsson, N.; Kolarich, D.; Packer, N. H. GlycoBioinformatics. Beilstein journal of organic chemistry 2021, 17, 2726–2728. doi:10.3762/bjoc.17.184
- Lisacek, F.; Alagesan, K.; Hayes, C. A.; Lippold, S.; de Haan, N. Bioinformatics in Immunoglobulin Glycosylation Analysis. Experientia supplementum (2012) 2021, 112, 205–233. doi:10.1007/978-3-030-76912-3_6
- Pang, K. T.; Tay, S. J.; Wan, C.; Walsh, I.; Choo, M. S. F.; Yang, Y.; Choo, A.; Ho, Y. S.; Nguyen-Khuong, T. Semi-Automated Glycoproteomic Data Analysis of LC-MS Data Using GlycopeptideGraphMS in Process Development of Monoclonal Antibody Biologics. Frontiers in chemistry 2021, 9, 661406. doi:10.3389/fchem.2021.661406
