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Pregled bibliografske jedinice broj: 912092

Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway


Benedetti, Elisa; Pučić-Baković, Maja; Keser, Toma; Wahl, Annika; Hassinen, Antti; Yang, Jeong-Yeh; Liu, Lin; Trbojević-Akmačić, Irena; Razdorov, Genadij; Štambuk, Jerko et al.
Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway // Nature Communications, 8 (2017), 1; 1483 (2017), 15 doi:10.1038/s41467-017-01525-0 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 912092 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway

Autori
Benedetti, Elisa ; Pučić-Baković, Maja ; Keser, Toma ; Wahl, Annika ; Hassinen, Antti ; Yang, Jeong-Yeh ; Liu, Lin ; Trbojević-Akmačić, Irena ; Razdorov, Genadij ; Štambuk, Jerko ; Klarić, Lucija ; Ugrina, Ivo ; Selman, Maurice H. J. ; Wuhrer, Manfred ; Rudan, Igor ; Polasek, Ozren ; Hayward, Caroline ; Grallert, Harald ; Strauch, Konstantin ; Peters, Annette ; Meitinger, Thomas ; Gieger, Christian ; Vilaj, Marija ; Boons, Geert-Jan ; Moremen, Kelley W. ; Ovchinnikova, Tatiana ; Bovin, Nicolai ; Kellokumpu, Sakari ; Theis, Fabian J. ; Lauc, Gordan ; Krumsiek, Jan

Izvornik
Nature Communications (2041-1723) 8 (2017), 1; 1483 (2017), 15

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Immunoglobulin G ; glycosylation pathway ; N-glycans ; mass spectrometry ; Gaussian graphical models

Sažetak
Immunoglobulin G (IgG) is a major effector molecule of the human immune response, and aberrations in IgG glycosylation are linked to various diseases. However, the molecular mechanisms underlying protein glycosylation are still poorly understood. We present a data- driven approach to infer reactions in the IgG glycosylation pathway using large-scale mass- spectrometry measurements. Gaussian graphical models are used to construct association networks from four cohorts. We find that glycan pairs with high partial correlations represent enzymatic reactions in the known glycosylation pathway, and then predict new biochemical reactions using a rule-based approach. Validation is performed using data from a GWAS and results from three in vitro experiments. We show that one predicted reaction is enzymatically feasible and that one rejected reaction does not occur in vitro. Moreover, in contrast to previous knowledge, enzymes involved in our predictions colocalize in the Golgi of two cell lines, further confirming the in silico predictions.

Izvorni jezik
Engleski

Znanstvena područja
Interdisciplinarne prirodne znanosti, Farmacija



POVEZANOST RADA


Ustanove
Farmaceutsko-biokemijski fakultet, Zagreb,
GENOS d.o.o.

Citiraj ovu publikaciju

Benedetti, Elisa; Pučić-Baković, Maja; Keser, Toma; Wahl, Annika; Hassinen, Antti; Yang, Jeong-Yeh; Liu, Lin; Trbojević-Akmačić, Irena; Razdorov, Genadij; Štambuk, Jerko et al.
Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway // Nature Communications, 8 (2017), 1; 1483 (2017), 15 doi:10.1038/s41467-017-01525-0 (međunarodna recenzija, članak, znanstveni)
Benedetti, E., Pučić-Baković, M., Keser, T., Wahl, A., Hassinen, A., Yang, J., Liu, L., Trbojević-Akmačić, I., Razdorov, G. & Štambuk, J. (2017) Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway. Nature Communications, 8 (1), 1483 (2017), 15 doi:10.1038/s41467-017-01525-0.
@article{article, year = {2017}, pages = {15}, DOI = {10.1038/s41467-017-01525-0}, chapter = {1483 (2017)}, keywords = {Immunoglobulin G, glycosylation pathway, N-glycans, mass spectrometry, Gaussian graphical models}, journal = {Nature Communications}, doi = {10.1038/s41467-017-01525-0}, volume = {8}, number = {1}, issn = {2041-1723}, title = {Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway}, keyword = {Immunoglobulin G, glycosylation pathway, N-glycans, mass spectrometry, Gaussian graphical models}, chapternumber = {1483 (2017)} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


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