Evidence map›Paper›PMID 24719452›Full record

ArticleMolecular & cellular proteomics : MCP2014

Comparative performance of four methods for high-throughput glycosylation analysis of immunoglobulin G in genetic and epidemiological research.

Jennifer E Huffman, Maja Pučić-Baković, Lucija Klarić, René Hennig, Maurice H J Selman, Frano Vučković, Mislav Novokmet, Jasminka Krištić, Matthias Borowiak, Thilo Muth and 15 more

Abstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 93 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
93citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

93 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Glycosylation Profile of IgG in Moderate Kidney Dysfunction.Journal of the American Society of Nephrology : JASN · 2016
    Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Review
  8. Article
  9. Antibody glycosylation in neuroimmune diseases.Journal of translational medicine · 2025
    Review
  10. Article
  11. Article
  12. Glycosylation in kidney diseases.Precision clinical medicine · 2025
    Review
  13. Article
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article

33 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors.

Jennifer E HuffmanFrom the ‡MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK;
Maja Pučić-Baković§Genos Glycoscience Laboratory, Zagreb, Croatia;
Lucija Klarić§Genos Glycoscience Laboratory, Zagreb, Croatia;
René Hennig¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖glyXera GmbH, Magdeburg, Germany;
Maurice H J Selman**Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands;
Frano Vučković§Genos Glycoscience Laboratory, Zagreb, Croatia;
Mislav Novokmet§Genos Glycoscience Laboratory, Zagreb, Croatia;
Jasminka Krištić§Genos Glycoscience Laboratory, Zagreb, Croatia;
Matthias Borowiak‖glyXera GmbH, Magdeburg, Germany;
Thilo Muth¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖glyXera GmbH, Magdeburg, Germany;
Ozren Polašek‡‡Faculty of Medicine, University of Split, Split, Croatia;
Genadij Razdorov§§University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia;
Olga Gornik§§University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia;
Rosina Plomp**Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands;
Evropi Theodoratou¶¶Centre for Population Health Sciences, School of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK;
Alan F WrightFrom the ‡MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK;
Igor Rudan¶¶Centre for Population Health Sciences, School of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK;
Caroline HaywardFrom the ‡MRC Human Genetics Unit, Institute of Genetics and Molecular Medicine, University of Edinburgh, Edinburgh, UK;
Harry Campbell¶¶Centre for Population Health Sciences, School of Medicine and Veterinary Medicine, University of Edinburgh, Edinburgh, UK;
André M Deelder**Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands;
Udo Reichl¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖‖Otto-von-Guericke University, Chair of Bioprocess Engineering, Magdeburg, Germany;
Yurii S AulchenkoInstitute of Cytology and Genetics SB RAS, Novosibirsk, Russia; "Yurii Aulchenko" consulting, Groningen, The Netherlands;
Erdmann Rapp¶Max Planck Institute for Dynamics of Complex Technical Systems, Magdeburg, Germany; ‖glyXera GmbH, Magdeburg, Germany;
Manfred Wuhrer**Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands; Division of BioAnalytical Chemistry, VU University Amsterdam, Amsterdam, The Netherlands.
Gordan Lauc§Genos Glycoscience Laboratory, Zagreb, Croatia; §§University of Zagreb, Faculty of Pharmacy and Biochemistry, Zagreb, Croatia; glauc@pharma.hr.

Funding

Medical Research CouncilWellcome Trust
6 · The paper itself

Abstract

The biological and clinical relevance of glycosylation is becoming increasingly recognized, leading to a growing interest in large-scale clinical and population-based studies. In the past few years, several methods for high-throughput analysis of glycans have been developed, but thorough validation and standardization of these methods is required before significant resources are invested in large-scale studies. In this study, we compared liquid chromatography, capillary gel electrophoresis, and two MS methods for quantitative profiling of N-glycosylation of IgG in the same data set of 1201 individuals. To evaluate the accuracy of the four methods we then performed analysis of association with genetic polymorphisms and age. Chromatographic methods with either fluorescent or MS-detection yielded slightly stronger associations than MS-only and multiplexed capillary gel electrophoresis, but at the expense of lower levels of throughput. Advantages and disadvantages of each method were identified, which should inform the selection of the most appropriate method in future studies.

Indexed as

AdultChromatography, LiquidElectrophoresis, CapillaryGlycosylationHigh-Throughput Screening AssaysHumansHydrophobic and Hydrophilic InteractionsImmunoglobulin GMass SpectrometryPolymorphism, GeneticPolysaccharidesImmunoglobulin GPolysaccharides

Identifiers

PMID24719452
PMCPMC4047478

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.