Hyppää sisältöön
    • FI
    • ENG
  • FI
  • /
  • EN
OuluREPO – Oulun yliopiston julkaisuarkisto / University of Oulu repository
Näytä viite 
  •   OuluREPO etusivu
  • Oulun yliopisto
  • Avoin saatavuus
  • Näytä viite
  •   OuluREPO etusivu
  • Oulun yliopisto
  • Avoin saatavuus
  • Näytä viite
JavaScript is disabled for your browser. Some features of this site may not work without it.

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; 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 (2017-11-14)

 
Avaa tiedosto
nbnfi-fe201801111226.pdf (3.346Mt)
nbnfi-fe201801111226_meta.xml (102.3Kt)
nbnfi-fe201801111226_solr.xml (77.83Kt)
Lataukset: 

URL:
https://doi.org/10.1038/s41467-017-01525-0

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
Springer Nature
14.11.2017

Benedetti, E., Pučić-Baković, M., Keser, T., Wahl, A., Hassinen, A., Yang, J., Liu, L., Trbojević-Akmačić, I., Razdorov, G., Štambuk, J., Klarić, L., Ugrina, I., Selman, M., Wuhrer, M., Rudan, I., Polasek, O., Hayward, C., Grallert, H., Strauch, K., Peters, A., Meitinger, T., Gieger, C., Vilaj, M., Boons, G., Moremen, K., Ovchinnikova, T., Bovin, N., Kellokumpu, S., Theis, F., Lauc, G., Krumsiek, J. (2017) Network inference from glycoproteomics data reveals new reactions in the IgG glycosylation pathway. Nature Communications, 8 (1). doi:10.1038/s41467-017-01525-0

https://rightsstatements.org/vocab/InC/1.0/
© The Author(s) 2017. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
https://rightsstatements.org/vocab/InC/1.0/
doi:https://doi.org/10.1038/s41467-017-01525-0
Näytä kaikki kuvailutiedot
Julkaisun pysyvä osoite on
https://urn.fi/URN:NBN:fi-fe201801111226
Tiivistelmä

Abstract

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.

Kokoelmat
  • Avoin saatavuus [37887]
oulurepo@oulu.fiOulun yliopiston kirjastoOuluCRISLaturiMuuntaja
SaavutettavuusselosteTietosuojailmoitusYlläpidon kirjautuminen
 

Selaa kokoelmaa

NimekkeetTekijätJulkaisuajatAsiasanatUusimmatSivukartta

Omat tiedot

Kirjaudu sisäänRekisteröidy
oulurepo@oulu.fiOulun yliopiston kirjastoOuluCRISLaturiMuuntaja
SaavutettavuusselosteTietosuojailmoitusYlläpidon kirjautuminen