Evidence map›Paper›PMID 42109846›Full record

ArticleiScience2026

Single-cell lipidomic analysis of the epithelial-mesenchymal transition using mass spectrometry imaging.

Ellen Marie Botne Quinsgaard, Marco Giampà, Veronica With Andreassen, Sebastian Krossa, Anna Nordborg, Jakub Idkowiak, Johannes V Swinnen, Siver Andreas Moestue

Abstract read
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In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Ellen Marie Botne QuinsgaardDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
Marco GiampàKU Leuven, Department of Cellular and Molecular Medicine, Laboratory of Applied Mass Spectrometry (LAMaS), 3000 Leuven, Belgium.
Veronica With AndreassenDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
Sebastian KrossaDepartment of Circulation and Medical Imaging, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.
Anna NordborgDepartment of Biotechnology and Nanomedicine, SINTEF Industry, 7034 Trondheim, Norway.
Jakub IdkowiakLaboratory of Lipid Metabolism and Cancer, Department of Oncology, Leuven Cancer Institute (LKI) and Leuven Institute for Single Cell Omics (LISCO), KU Leuven, 3000 Leuven, Belgium.
Johannes V SwinnenLaboratory of Lipid Metabolism and Cancer, Department of Oncology, Leuven Cancer Institute (LKI) and Leuven Institute for Single Cell Omics (LISCO), KU Leuven, 3000 Leuven, Belgium.
Siver Andreas MoestueDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), 7491 Trondheim, Norway.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial-mesenchymal transition (EMT) is a metastasis-promoting process whose heterogeneity has been extensively studied at a gene expression level. EMT involves reprogramming of lipid metabolism; however, there has been little focus lipid level heterogeneity. Here, we use mass spectrometry imaging (MSI) to measure glycerophospholipids at the single-cell level during EGF-induced EMT in MDA-MB-468 breast cancer cells. Cells undergoing EMT had reduced levels of PA, PS, PE, and PI-species and increased levels of PG-species and LPI (18:0). Multivariate analysis on the spatially resolved MSI-data revealed a heterogeneous metabolic response. Lipid levels were particularly affected by cell organization, as dispersed cells were more "EMT-like" than cohesive cells. The fraction of dispersed cells increased during EMT, indicating that pathways regulating adhesion and motility also regulate lipid metabolism. Gene expression analysis verified that EMT affected genes involved in glycerophospholipid biosynthesis. This work demonstrates heterogeneous regulation of glycerophospholipids in cancer cell populations undergoing EMT.

Indexed as

Biological sciencesCell biologyLipidomics

Identifiers

PMID42109846
PMCPMC13156679

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.