Evidence map›Paper›PMID 41093848›Full record

ArticleNature communications2025

Spatial biology using single-cell mass spectrometry imaging and integrated microscopy.

Alexander Potthoff, Jan Schwenzfeier, Marcel Niehaus, Sebastian Bessler, Emily Hoffmann, Oliver Soehnlein, Jens Höhndorf, Klaus Dreisewerd, Jens Soltwisch

Abstract read
In one paragraph

Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Advances in spatial omics for the analysis of prostate cancer.Analytical and bioanalytical chemistry · 2026
    Review
  11. Review
  12. Article
  13. New Analytical Technologies to Resolve, Interpret, and Understand Lipid Complexity.Annual review of analytical chemistry (Palo Alto, Calif.) · 2026
    Review
  14. Article
  15. Article
  16. Review
  17. Spatial proteomics: technical evolution and applications in cancer research.Frontiers in cell and developmental biology · 2026
    Review
  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

9 authors.

Alexander PotthoffInstitute of Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-5452-7700
Jan SchwenzfeierInstitute of Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-0795-2405
Marcel NiehausBruker Daltonics GmbH & Co. KG, Bremen, Germany.ORCID http://orcid.org/0000-0002-4876-6190
Sebastian BesslerInstitute of Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-0377-1164
Emily HoffmannClinic of Radiology, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-0958-6699
Oliver SoehnleinInstitute of Experimental Pathology, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-7854-0694
Jens HöhndorfBruker Daltonics GmbH & Co. KG, Bremen, Germany.
Klaus DreisewerdInstitute of Hygiene, University of Münster, Münster, Germany.ORCID http://orcid.org/0000-0002-7619-808X
Jens SoltwischInstitute of Hygiene, University of Münster, Münster, Germany. jenssol@uni-muenster.de.ORCID http://orcid.org/0000-0002-0258-1561

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 449437943Deutsche Forschungsgemeinschaft (German Research Foundation) 544444139
6 · The paper itself

Abstract

Spatial biology pursues the analysis of cells in their native microenvironment, often with regard to morphology and gene- or protein expression. The spatial analysis of lipid and metabolic profiles by matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) can add another layer of molecular information. A seamless integration of MSI data with other (multimodal) methods at a single-cell level is often hampered by insufficient co-registration and resolution. Here, we introduce a MALDI-MSI based method that integrates in-source bright-field and fluorescence microscopy, allowing for a coupled (sub-)cellular investigation of the same sample in both modalities. Presented examples from cell culture and tissue analysis include the visualization of intracellular lipid distributions in macrophages during phagocytosis, and the heterogeneity of lipid profiles of tumor infiltrating neutrophils correlated to their individual microenvironments. The achieved combination of lipid profiling with morphological features and protein expression on the single-cell level constitutes a powerful method for cell biology.

Indexed as

Single-Cell AnalysisSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnimalsHumansLipidsMacrophagesMiceMicroscopy, FluorescenceNeutrophilsPhagocytosisTumor MicroenvironmentLipids

Identifiers

PMID41093848
PMCPMC12528677

What Socratic 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 Socratic graph.