Evidence map›Paper›PMID 30230816›Full record

ArticleAnalytical chemistry2018

Automated Plasma Glycomics with Linkage-Specific Sialic Acid Esterification and Ultrahigh Resolution MS.

Gerda C M Vreeker, Simone Nicolardi, Marco R Bladergroen, Corné J van der Plas, Wilma E Mesker, Rob A E M Tollenaar, Yuri E M van der Burgt, Manfred Wuhrer

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.1field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 64 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. PlasmaArteriosclerosis, thrombosis, and vascular biology · 2025
    Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Total plasmaiScience · 2024
    Article
  11. Review
  12. The Human BloodJACS Au · 2024
    Review
  13. Article
  14. Article
  15. Total serumiScience · 2023
    Article
  16. SerumBiomolecules · 2023
    Article
  17. Review
  18. Article
  19. High sensitivity glycomics in biomedicine.Mass spectrometry reviews · 2022
    Review
  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

8 authors at 1 institution in 1 country.

Gerda C M VreekerCenter for Proteomics and Metabolomics , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.ORCID 0000-0002-3709-929X
Simone NicolardiCenter for Proteomics and Metabolomics , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.
Marco R BladergroenCenter for Proteomics and Metabolomics , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.
Corné J van der PlasCenter for Proteomics and Metabolomics , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.
Wilma E MeskerDepartment of Surgery , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.
Rob A E M TollenaarDepartment of Surgery , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.
Yuri E M van der BurgtCenter for Proteomics and Metabolomics , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.
Manfred WuhrerCenter for Proteomics and Metabolomics , Leiden University Medical Center , 2300 RC Leiden , The Netherlands.
Leiden University Medical Center · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

High-throughput mass spectrometry (MS) glycomics is an emerging field driven by technological advancements including sample preparation and data processing. Previously, we reported an automated protocol for the analysis of N-glycans released from plasma proteins that included sialic acid derivatization with linkage-specificity, namely, ethylation of α2,6-linked sialic acid residues and lactone formation of α2,3-linked sialic acids. In the current study, each step in this protocol was further optimized. Method improvements included minimizing the extent of side-reaction during derivatization, an adjusted glycan purification strategy and mass analysis of the released N-glycans by ultrahigh resolution matrix-assisted laser desorption/ionization Fourier transform ion cyclotron resonance MS. The latter resolved peak overlap and simplified spectral alignment due to high mass measurement precision. Moreover, this resulted in more confident glycan assignments and improved signal-to-noise for low-abundant species. The performance of the protocol renders high-throughput applications feasible in the exciting field of clinical glycomics.

Indexed as

AutomationBlood ProteinsGlycomicsGlycosylationHumansMass SpectrometryN-Acetylneuraminic AcidPolysaccharidesBlood ProteinsN-Acetylneuraminic AcidPolysaccharides

Identifiers

PMID30230816
PMCPMC6209171
OpenAlexW2890255608

What OpenQuestion holds

Textmetadata
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.