Evidence map›Paper›PMID 32668069›Full record

ArticleAngewandte Chemie (International ed. in English)2020

Morphometric Cell Classification for Single-Cell MALDI-Mass Spectrometry Imaging.

Klára Ščupáková, Frédéric Dewez, Axel K Walch, Ron M A Heeren, Benjamin Balluff

Abstract read
In one paragraph

Article in Angewandte Chemie (International ed. in English), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 citing papers in PubMed.

  1. Article
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  3. Review
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  5. Article
  6. Article
  7. Mass Spectrometry Imaging.Analytical chemistry · 2025
    Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Review
  14. Review
  15. Review
  16. Quantitative mass spectrometry imaging: therapeutics & biomolecules.Chemical communications (Cambridge, England) · 2024
    Review
  17. Article
  18. Article
  19. 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

5 authors.

Klára ŠčupákováMaastricht MultiModal Molecular Imaging Institute (M4I), University of Maastricht, Universiteitssingel 50, 6200 MD, Maastricht, The Netherlands.
Frédéric DewezMaastricht MultiModal Molecular Imaging Institute (M4I), University of Maastricht, Universiteitssingel 50, 6200 MD, Maastricht, The Netherlands.
Axel K WalchResearch Unit Analytical Pathology, Helmholtz Zentrum München, Oberschleißheim, Germany.
Ron M A HeerenMaastricht MultiModal Molecular Imaging Institute (M4I), University of Maastricht, Universiteitssingel 50, 6200 MD, Maastricht, The Netherlands.ORCID 0000-0002-6533-7179
Benjamin BalluffMaastricht MultiModal Molecular Imaging Institute (M4I), University of Maastricht, Universiteitssingel 50, 6200 MD, Maastricht, The Netherlands.

Funding

Hypoxia-derived molecular MSI signatures to predict breast cancer outcomeR01CA213492 · NCI · JOHNS HOPKINS UNIVERSITY · PI GLUNDE, KRISTINE, HEEREN, RON · 2017 to 2021
$2.1M
NCI NIH HHS R01 CA213492
6 · The paper itself

Abstract

The large-scale and label-free molecular characterization of single cells in their natural tissue habitat remains a major challenge in molecular biology. We present a method that integrates morphometric image analysis to delineate and classify individual cells with their single-cell-specific molecular profiles. This approach provides a new means to study spatial biological processes such as cancer field effects and the relationship between morphometric and molecular features.

Indexed as

AnimalsColonDisease Models, AnimalLipidsSingle-Cell AnalysisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStomach NeoplasmsSwineLipidsimaginglipidsmass spectrometrymorphometrysingle-cell analysis

Identifiers

PMID32668069
PMCPMC7540554

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.