Evidence map›Paper›PMID 39210066›Full record

ArticleNature methods2024

Integration of mass cytometry and mass spectrometry imaging for spatially resolved single-cell metabolic profiling.

Joana B Nunes, Marieke E Ijsselsteijn, Tamim Abdelaal, Rick Ursem, Manon van der Ploeg, Martin Giera, Bart Everts, Ahmed Mahfouz, Bram Heijs, Noel F C C de Miranda

Abstract read
In one paragraph

Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

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

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  12. Journal for immunotherapy of cancer · 2026
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2 more citing papers are in PubMed but not listed here.

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

10 authors.

Joana B Nunes *Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-8968-9670
Marieke E Ijsselsteijn *Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-8195-736X
Tamim AbdelaalDepartment of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Rick UrsemDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-1607-8457
Manon van der PloegDepartment of Pathology, Leiden University Medical Center, Leiden, The Netherlands.
Martin GieraCenter for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0003-1684-1894
Bart EvertsCenter of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands.ORCID http://orcid.org/0000-0002-3764-5131
Ahmed MahfouzPattern Recognition and Bioinformatics, Delft University of Technology, Delft, The Netherlands.ORCID http://orcid.org/0000-0001-8601-2149
Bram Heijs *Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands.
Noel F C C de Miranda *Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands. N.F.de_miranda@lumc.nl.ORCID http://orcid.org/0000-0001-6122-1024

Funding

EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 852832Nierstichting (Dutch Kidney Foundation) 21OK+015Novo Nordisk Fonden (Novo Nordisk Foundation) NNF21CC0073729ZonMw (Netherlands Organisation for Health Research and Development) 09150172110092
6 · The paper itself

Abstract

The integration of spatial omics technologies can provide important insights into the biology of tissues. Here we combined mass spectrometry imaging-based metabolomics and imaging mass cytometry-based immunophenotyping on a single tissue section to reveal metabolic heterogeneity at single-cell resolution within tissues and its association with specific cell populations such as cancer cells or immune cells. This approach has the potential to greatly increase our understanding of tissue-level interplay between metabolic processes and their cellular components.

Indexed as

MetabolomicsSingle-Cell AnalysisAnimalsFlow CytometryHumansImmunophenotypingMass SpectrometryMetabolomeMice

Identifiers

PMID39210066
PMCPMC11466816

What OpenQuestion holds

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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.