The DOI matches its Crossref record.
GlycoWorkbench: A Tool for the Computer-Assisted Annotation of Mass Spectra of Glycans
Abstract
Mass spectrometry is the main analytical technique currently used to address the challenges of glycomics as it offers unrivalled levels of sensitivity and the ability to handle complex mixtures of different glycan variations. Determination of glycan structures from analysis of MS data is a major bottleneck in high-throughput glycomics projects, and robust solutions to this problem are of critical importance. However, all the approaches currently available have inherent restrictions to the type of glycans they can identify, and none of them have proved to be a definitive tool for glycomics. GlycoWorkbench is a software tool developed by the EUROCarbDB initiative to assist the manual interpretation of MS data. The main task of GlycoWorkbench is to evaluate a set of structures proposed by the user by matching the corresponding theoretical list of fragment masses against the list of peaks derived from the spectrum. The tool provides an easy to use graphical interface, a comprehensive and increasing set of structural constituents, an exhaustive collection of fragmentation types, and a broad list of annotation options. The aim of GlycoWorkbench is to offer complete support for the routine interpretation of MS data. The software is available for download from: http://www.eurocarbdb.org/applications/ms-tools.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Protein Analysis by Shotgun/Bottom-up Proteomics
Zhang, Y., Fonslow, B. R., Shan, B., Baek, M.-C., & Yates, J. R. (2013) · Chemical Reviews · doi:10.1021/cr3003533 · Cited by 1,491
Hart, G. W., & Copeland, R. J. (2010) · Cell · doi:10.1016/j.cell.2010.11.008 · Cited by 643
Global metabolic inhibitors of sialyl- and fucosyltransferases remodel the glycome
Rillahan, C. D., Antonopoulos, A., Lefort, C. T., Sonon, R., Azadi, P., Ley, K., Dell, A., Haslam, S. M., & Paulson, J. C. (2012) · Nature Chemical Biology · doi:10.1038/nchembio.999 · Cited by 447
Self-citationHigh-sensitivity Analytical Approaches for the Structural Characterization of Glycoproteins
Alley, W. R., Mann, B. F., & Novotny, M. V. (2013) · Chemical Reviews · doi:10.1021/cr3003714 · Cited by 310
Sialic acid-containing glycolipids mediate binding and viral entry of SARS-CoV-2
Nguyen, L., McCord, K. A., Bui, D. T., Bouwman, K. M., Kitova, E. N., Elaish, M., Kumawat, D., Daskhan, G. C., Tomris, I., Han, L., et al. (2022) · Nature Chemical Biology · doi:10.1038/s41589-021-00924-1 · Cited by 259
Glycosylation of extracellular vesicles: current knowledge, tools and clinical perspectives
Williams, C., Royo, F., Aizpurua‐Olaizola, O., Pazos, R., Boons, G., Reichardt, N., & Falcon‐Perez, J. M. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1442985 · Cited by 258
Mass spectrometry in the analysis of N-linked and O-linked glycans
North, S. J., Hitchen, P. G., Haslam, S. M., & Dell, A. (2009) · Current Opinion in Structural Biology · doi:10.1016/j.sbi.2009.05.005 · Cited by 221
Self-citationNorth, S. J., Huang, H.-H., Sundaram, S., Jang-Lee, J., Etienne, A. T., Trollope, A., Chalabi, S., Dell, A., Stanley, P., & Haslam, S. M. (2010) · Journal of Biological Chemistry · doi:10.1074/jbc.m109.068353 · Cited by 207
Self-citationSystemic Blockade of Sialylation in Mice with a Global Inhibitor of Sialyltransferases
Macauley, M. S., Arlian, B. M., Rillahan, C. D., Pang, P.-C., Bortell, N., Marcondes, M. C. G., Haslam, S. M., Dell, A., & Paulson, J. C. (2014) · Journal of Biological Chemistry · doi:10.1074/jbc.m114.606517 · Cited by 129
Self-citationNew Technologies for Glycomic Analysis: Toward a Systematic Understanding of the Glycome
Rakus, J. F., & Mahal, L. K. (2011) · Annual Review of Analytical Chemistry · doi:10.1146/annurev-anchem-061010-113951 · Cited by 117
Nyström, K., Le Gall-Reculé, G., Grassi, P., Abrantes, J., Ruvoën-Clouet, N., Le Moullac-Vaidye, B., Lopes, A. M., Esteves, P. J., Strive, T., Marchandeau, S., et al. (2011) · PLoS Pathogens · doi:10.1371/journal.ppat.1002188 · Cited by 114
Self-citationCSF N-glycoproteomics for early diagnosis in Alzheimer's disease
Palmigiano, A., Barone, R., Sturiale, L., Sanfilippo, C., Bua, R. O., Romeo, D. A., Messina, A., Capuana, M. L., Maci, T., Le Pira, F., et al. (2016) · Journal of Proteomics · doi:10.1016/j.jprot.2015.10.006 · Cited by 107
von Horsten, H. H., Ogorek, C., Blanchard, V., Demmler, C., Giese, C., Winkler, K., Kaup, M., Berger, M., Jordan, I., & Sandig, V. (2010) · Glycobiology · doi:10.1093/glycob/cwq109 · Cited by 103
Jedrzejewski, P., Del Val, I., Constantinou, A., Dell, A., Haslam, S., Polizzi, K., & Kontoravdi, C. (2014) · International Journal of Molecular Sciences · doi:10.3390/ijms15034492 · Cited by 83
Self-citationPredicting glycan structure from tandem mass spectrometry via deep learning
Urban, J., Jin, C., Thomsson, K. A., Karlsson, N. G., Ives, C. M., Fadda, E., & Bojar, D. (2024) · Nature Methods · doi:10.1038/s41592-024-02314-6 · Cited by 79
Váradi, C., Mittermayr, S., Millán-Martín, S., & Bones, J. (2016) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-016-9935-8 · Cited by 40
Developing the IVIG biomimetic, Hexa-Fc, for drug and vaccine applications
Czajkowsky, D. M., Andersen, J. T., Fuchs, A., Wilson, T. J., Mekhaiel, D., Colonna, M., He, J., Shao, Z., Mitchell, D. A., Wu, G., et al. (2015) · Scientific Reports · doi:10.1038/srep09526 · Cited by 38
Self-citationJansen, B. C., Bondt, A., Reiding, K. R., Scherjon, S. A., Vidarsson, G., & Wuhrer, M. (2016) · Scientific Reports · doi:10.1038/srep34001 · Cited by 38
Fellenberg, M., Behnken, H. N., Nagel, T., Wiegandt, A., Baerenfaenger, M., & Meyer, B. (2013) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-013-7164-y · Cited by 27
Blundell, P. A., Lu, D., Dell, A., Haslam, S., & Pleass, R. J. (2020) · The Journal of Immunology · doi:10.4049/jimmunol.1901145 · Cited by 29
“The data were analyzed using Data Explorer (Applied Biosystems) and GlycoWorkbench (42).”
MethodSelf-citationAshwood, C., Waas, M., Weerasekera, R., & Gundry, R. L. (2020) · Journal of Molecular and Cellular Cardiology · doi:10.1016/j.yjmcc.2019.12.012 · Cited by 25
Blundell, P. A., Lu, D., Wilkinson, M., Dell, A., Haslam, S., & Pleass, R. J. (2019) · The Journal of Immunology · doi:10.4049/jimmunol.1801337 · Cited by 11
Self-citationWeerasekera, R., Moreau, A., Huang, X., Nam, K.-M., Hinbest, A. J., Huynh, Y., Liu, X., Ashwood, C., Pepi, L. E., Paulson, E., et al. (2024) · PLOS Pathogens · doi:10.1371/journal.ppat.1012750 · Cited by 9
Metadata
- Authors
- Ceroni, A., Maass, K., Geyer, H., Geyer, R., Dell, A., & Haslam, S. M.
- Venue
- Journal of Proteome Research
- Publisher
- American Chemical Society (ACS)
- Published
- 2008-03-01
- Volume
- 7
- Issue
- 4
- Pages
- 1650-1659
- ISSN
- 1535-3893 (ISSN-L)
- 1535-3907
- OpenAlex
- W1976484683
- Cited by
- 1,057
- References
- 0
- FWCI
- 15.26
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.