Nature Communications (Nov 2017)
Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway
- Elisa Benedetti,
- Maja Pučić-Baković,
- Toma Keser,
- Annika Wahl,
- Antti Hassinen,
- Jeong-Yeh Yang,
- Lin Liu,
- Irena Trbojević-Akmačić,
- Genadij Razdorov,
- Jerko Štambuk,
- Lucija Klarić,
- Ivo Ugrina,
- Maurice H. J. Selman,
- Manfred Wuhrer,
- Igor Rudan,
- Ozren Polasek,
- Caroline Hayward,
- Harald Grallert,
- Konstantin Strauch,
- Annette Peters,
- Thomas Meitinger,
- Christian Gieger,
- Marija Vilaj,
- Geert-Jan Boons,
- Kelley W. Moremen,
- Tatiana Ovchinnikova,
- Nicolai Bovin,
- Sakari Kellokumpu,
- Fabian J. Theis,
- Gordan Lauc,
- Jan Krumsiek
Affiliations
- Elisa Benedetti
- Institute of Computational Biology, Helmholtz Zentrum München—German Research Center for Environmental Health
- Maja Pučić-Baković
- Genos Glycoscience Research Laboratory
- Toma Keser
- Faculty of Pharmacy and Biochemistry, University of Zagreb
- Annika Wahl
- Institute of Epidemiology 2, Research Unit Molecular Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
- Antti Hassinen
- Faculty of Biochemistry and Molecular Medicine, University of Oulu
- Jeong-Yeh Yang
- Complex Carbohydrate Research Center, University of Georgia
- Lin Liu
- Complex Carbohydrate Research Center, University of Georgia
- Irena Trbojević-Akmačić
- Genos Glycoscience Research Laboratory
- Genadij Razdorov
- Genos Glycoscience Research Laboratory
- Jerko Štambuk
- Genos Glycoscience Research Laboratory
- Lucija Klarić
- Genos Glycoscience Research Laboratory
- Ivo Ugrina
- Faculty of Pharmacy and Biochemistry, University of Zagreb
- Maurice H. J. Selman
- Leiden University Medical Center
- Manfred Wuhrer
- Leiden University Medical Center
- Igor Rudan
- Usher Institute of Population Health Sciences and Informatics, University of Edinburgh
- Ozren Polasek
- University of Split School of Medicine
- Caroline Hayward
- Medical Research Council Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh
- Harald Grallert
- Institute of Epidemiology 2, Research Unit Molecular Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
- Konstantin Strauch
- Institute of Genetic Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
- Annette Peters
- Institute of Epidemiology 2, Helmholtz Zentrum München—German Research Center for Environmental Health
- Thomas Meitinger
- Institute of Human Genetics, Helmholtz Zentrum München—German Research Center for Environmental Health
- Christian Gieger
- Institute of Epidemiology 2, Research Unit Molecular Epidemiology, Helmholtz Zentrum München—German Research Center for Environmental Health
- Marija Vilaj
- Genos Glycoscience Research Laboratory
- Geert-Jan Boons
- Complex Carbohydrate Research Center, University of Georgia
- Kelley W. Moremen
- Complex Carbohydrate Research Center, University of Georgia
- Tatiana Ovchinnikova
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
- Nicolai Bovin
- Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Russian Academy of Sciences
- Sakari Kellokumpu
- Faculty of Biochemistry and Molecular Medicine, University of Oulu
- Fabian J. Theis
- Institute of Computational Biology, Helmholtz Zentrum München—German Research Center for Environmental Health
- Gordan Lauc
- Genos Glycoscience Research Laboratory
- Jan Krumsiek
- Institute of Computational Biology, Helmholtz Zentrum München—German Research Center for Environmental Health
- DOI
- https://doi.org/10.1038/s41467-017-01525-0
- Journal volume & issue
-
Vol. 8,
no. 1
pp. 1 – 15
Abstract
IgG glycosylation is an important factor in immune function, yet the molecular details of protein glycosylation remain poorly understood. The data-driven approach presented here uses large-scale plasma IgG mass spectrometry measurements to infer new biochemical reactions in the glycosylation pathway.
