Evidence map›Paper›PMID 34494287›Full record

ReviewMass spectrometry reviews2022

High sensitivity glycomics in biomedicine.

Guinevere S M Lageveen-Kammeijer, Bernhard Kuster, Dietmar Reusch, Manfred Wuhrer

Abstract readReview
In one paragraph

Review in Mass spectrometry reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Article
  5. Article
  6. Mass Spectrometry-Based Applications of Spheroids in Cancer Biology.Annual review of analytical chemistry (Palo Alto, Calif.) · 2025
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Review
  12. High sensitivity glycomics in biomedicine.Mass spectrometry reviews · 2022
    Review
  13. Article
  14. Specific (sialyl-)Lewis core 2Theranostics · 2022
    Article
  15. Comparison of denaturing agent effects in enzymaticTurkish journal of chemistry · 2022
    Article
  16. Review
  17. Review
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.

Guinevere S M Lageveen-KammeijerLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, The Netherlands.
Bernhard KusterChair for Proteomics and Bioanalytics, Technical University of Munich, Freising, Germany.
Dietmar ReuschPharma Technical Development Europe, Roche Diagnostics GmbH, Penzberg, Germany.
Manfred WuhrerLeiden University Medical Center, Center for Proteomics and Metabolomics, Leiden, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many analytical challenges in biomedicine arise from the generally high heterogeneity and complexity of glycan- and glycoconjugate-containing samples, which are often only available in minute amounts. Therefore, highly sensitive workflows and detection methods are required. In this review mass spectrometric workflows and detection methods are evaluated for glycans and glycoproteins. Furthermore, glycomic methodologies and innovations that are tailored for enzymatic treatments, chemical derivatization, purification, separation, and detection at high sensitivity are highlighted. The discussion is focused on the analysis of mammalian N-linked and GalNAc-type O-linked glycans.

Indexed as

GlycomicsPolysaccharidesAnimalsGlycoproteinsMammalsMass SpectrometryGlycoproteinsPolysaccharidesglycomicshigh sensitivitymass spectrometry

Identifiers

PMID34494287
PMCPMC9788051

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.