Evidence map›Paper›PMID 37127981›Full record

ReviewNature reviews. Chemistry2020

Glycomics studies using sialic acid derivatization and mass spectrometry.

Noortje de Haan, Shuang Yang, John Cipollo, Manfred Wuhrer

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 48 papers.

0numbers the graph read from it
0cells of the map it votes in
48citing papers in PubMed
–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

48 citing papers in PubMed.

  1. Glycan Fingerprint of Malignant Pleural Mesothelioma.International journal of molecular sciences · 2026
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  6. Unveiling the Accurate Site-SpecificAnalytical chemistry · 2025
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  19. Toward Automatic Inference of Glycan Linkages Using MSJournal of the American Society for Mass Spectrometry · 2023
    Article
  20. Article
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

4 authors.

Noortje de HaanCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands. n.de_haan@lumc.nl.ORCID http://orcid.org/0000-0001-7026-6750
Shuang YangLaboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
John CipolloLaboratory of Bacterial Polysaccharides, Division of Bacterial, Parasitic and Allergenic Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, MD, USA.
Manfred WuhrerCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, Netherlands.ORCID http://orcid.org/0000-0002-0814-4995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Proteins can undergo glycosylation during and/or after translation to afford glycoconjugates, which are often secreted by a cell or populate cell surfaces. Changes in the glycan portion can have a strong influence on a glycoconjugate and are associated with a multitude of human pathologies. Of particular interest are sialylated glycoconjugates, which exist as constitutional isomers that differ in their linkages (α2,3, α2,6, α2,8 or α2,9) between sialic acids and their neighbouring monosaccharides. In general, mass spectrometry enables the rapid and sensitive characterization of glycosylation, but there are challenges specific to identifying and (relatively) quantifying sialic acid isomers. These challenges can be addressed using linkage-specific methodologies for sialic acid derivatization, after which mass spectrometry can enable product identification. This Review is concerned with the new and important derivatization approaches reported in the past decade, which have been implemented in various mass-spectrometry-glycomics workflows and have found clinical glycomics applications. The convenience and wide applicability of the approaches make them attractive for studies of sialylation in different types of glycoconjugate.

Identifiers

PMID37127981

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.