Evidence map›Paper›PMID 23325769›Full record

ReviewMolecular & cellular proteomics : MCP2013

Glycoproteomic analysis of antibodies.

Gerhild Zauner, Maurice H J Selman, Albert Bondt, Yoann Rombouts, Dennis Blank, André M Deelder, Manfred Wuhrer

Open access · hybridAbstract readReview
In one paragraph

Review in Molecular & cellular proteomics : MCP, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed
17.5field-weighted citation impact, top 1% of its field
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

86 citing papers in PubMed, 168 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Review
  5. Antibody glycosylation in neuroimmune diseases.Journal of translational medicine · 2025
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Introduction of Carbonyl Groups into Antibodies.Molecules (Basel, Switzerland) · 2023
    Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Article
  20. Article

26 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

7 authors at 1 institution in 1 country.

Gerhild ZaunerBiomolecular Mass Spectrometry Unit, Postbus 9600, 2300RC Leiden University Medical Center, Leiden, The Netherlands.
Maurice H J Selman
Albert Bondt
Yoann Rombouts
Dennis Blank
André M Deelder
Manfred Wuhrer
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody glycosylation has been shown to change with various processes. This review presents mass spectrometric approaches for antibody glycosylation analysis at the level of released glycans, glycopeptides, and intact protein. With regard to IgG fragment crystallizable glycosylation, mass spectrometry has shown its potential for subclass-specific, high-throughput analysis. In contrast, because of the vast heterogeneity of peptide moieties, fragment antigen binding glycosylation analysis of polyclonal IgG relies entirely on glycan release. Next to IgG, IgA has gained some attention, and studies of its O- and N-glycosylation have revealed disease-associated glycosylation changes. Glycoproteomic analyses of IgM and IgE are lagging behind but should complete our picture of glycosylation's influence on antibody function.

Indexed as

Amino Acid SequenceAnimalsAntibodiesCarbohydrate ConformationCarbohydrate SequenceGlycoproteinsGlycosylationHumansMass SpectrometryModels, MolecularMolecular Sequence DataPeptide FragmentsProtein Processing, Post-TranslationalProteomicsAntibodiesGlycoproteinsPeptide Fragments

Identifiers

PMID23325769
PMCPMC3617332
OpenAlexW2108223798

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.