Evidence map›Paper›PMID 37956981›Full record

ArticleAnalytical chemistry2023

Sensitive and Specific Global Cell Surface

Noortje de Haan, Ming Song, Oliver C Grant, Zilu Ye, Fawzi Khoder Agha, Mikkel Koed Møller Aasted, Robert J Woods, Sergey Y Vakhrushev, Hans H Wandall

Open access · hybridAbstract read
In one paragraph

Article in Analytical chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Altered Cell SurfaceJournal of proteome research · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. 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

9 authors at 2 institutions in 3 countries.

Noortje de HaanCopenhagen Center for Glycomics, University of Copenhagen, Copenhagen 2200, Denmark.
Ming SongCopenhagen Center for Glycomics, University of Copenhagen, Copenhagen 2200, Denmark.
Oliver C GrantComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States.
Zilu YeNovo Nordisk Foundation Center for Protein Research, University of Copenhagen, Copenhagen 2200, Denmark.
Fawzi Khoder AghaCopenhagen Center for Glycomics, University of Copenhagen, Copenhagen 2200, Denmark.
Mikkel Koed Møller AastedCopenhagen Center for Glycomics, University of Copenhagen, Copenhagen 2200, Denmark.
Robert J WoodsComplex Carbohydrate Research Center, University of Georgia, Athens, Georgia 30602, United States.
Sergey Y VakhrushevCopenhagen Center for Glycomics, University of Copenhagen, Copenhagen 2200, Denmark.ORCID 0000-0002-0418-5765
Hans H WandallCopenhagen Center for Glycomics, University of Copenhagen, Copenhagen 2200, Denmark.
University of Copenhagen · DKUniversity of Georgia · US

Funding

Transitioning GLYCAM-Web to a self-sustaining carbohydrate modeling serviceR24GM136984 · NIGMS · UNIVERSITY OF GEORGIA · PI WOODS, ROBERT J · 2020 to 2022
$1.4M
NIGMS NIH HHS R24 GM136984
6 · The paper itself

Abstract

Cell surface glycans are essential for establishing cell communication, adhesion, and migration. However, it remains challenging to obtain cell surface-specific information about glycoconjugate structures. Acquiring this information is essential for unraveling the functional role of glycans and for exploiting them as clinical targets. To specifically analyze the

Indexed as

GlycoproteinsPolysaccharidesGlycosylationHumansMass SpectrometryGlycoproteinsPolysaccharides

Identifiers

PMID37956981
PMCPMC10688226
OpenAlexW4388647992

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.