Evidence map›Paper›PMID 42907469›Full record

ArticleNature communications2026

High-content morphological profiling by Cell Painting in 3D spheroids.

Christa Ringers, David Holmberg, Anders Larsson, Bomi Jung, Malin Jarvius, Anna Luchniak, Dan Rosén, Martin Johansson, Polina Georgiev, Brinton Seashore-Ludlow and 4 more

Abstract read
In one paragraph

Article in Nature communications, 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

14 authors.

Christa Ringers *Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden. christa.ringers@uu.se.ORCID 0000-0002-0807-8481
David Holmberg *Department of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Anders LarssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Bomi JungDiscovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Malin JarviusDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-1565-6155
Anna LuchniakDiscovery Sciences, BioPharmaceuticals R&D, AstraZeneca, Gothenburg, Sweden.
Dan RosénDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Martin JohanssonDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Polina GeorgievDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Brinton Seashore-LudlowDepartment of Oncology-Pathology, Karolinska Institutet, Stockholm, Sweden.ORCID 0000-0001-8658-5967
Torkild VisnesDepartment of Biotechnology and Nanomedicine, SINTEF Industry, Trondheim, Norway.ORCID 0000-0003-1047-988X
Åsmund FlobakDepartment of Clinical and Molecular Medicine, Norwegian University of Science and Technology (NTNU), Trondheim, Norway.ORCID 0000-0002-3357-425X
Jordi Carreras-PuigvertDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.
Ola SpjuthDepartment of Pharmaceutical Biosciences, Uppsala University, Uppsala, Sweden.ORCID 0000-0002-8083-2864

Funding

Norges Forskningsråd (Research Council of Norway) 326003
6 · The paper itself

Abstract

Cell Painting is a popular high-content imaging assay that captures the shape and internal organization of 2D cell cultures at scale. While 3D cell cultures are more physiologically relevant models - especially for studying drug perturbations - they remain challenging to image because light scatters before it reaches the cultures' interior. Here, we introduce a scalable method to adapt Cell Painting for 3D spheroids. We show that tissue-clearing, a technique that makes spheroids transparent, combined with a focusing routine that locates spheroids on the fly, enables Cell Painting at single-cell level inside intact spheroids. By profiling 52 clinically relevant drugs, we show that single-cell fingerprints clustered by biological pathway and resolved drug effects more robustly than those of flattened spheroid-wide views. Notably, the effect of two drugs, 5-fluorouracil and olaparib, nearly indistinguishable in 2D monolayers, diverged in spheroids. This finding was then corroborated by DNA-damage, cell-cycle, and gene-expression assays. The workflow runs on a spinning-disk confocal microscope in a standard 384-well plate format, making single-cell 3D profiling accessible to laboratories already performing Cell Painting.

Indexed as

Cell Culture Techniques, Three DimensionalSpheroids, CellularAnimalsCell Culture TechniquesCell CycleCell Line, TumorDNA DamageFluorouracilHumansMicroscopy, ConfocalSingle-Cell AnalysisFluorouracil

Identifiers

PMID42907469
PMCPMC13686983

What OpenQuestion holds

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Registered trials

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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.