Evidence map›Paper›PMID 42808695›Full record

ArticleeLife2026

Single-cell spatial mapping reveals reproducible cell type organization and spatially dependent gene expression in gastruloids.

Catherine Triandafillou, Pranav Sompalle, Yael Heyman, Arjun Raj

Abstract read
In one paragraph

Article in eLife, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Catherine TriandafillouDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, United States.ORCID https://orcid.org/0000-0002-6715-3795
Pranav SompalleDepartment of Chemistry, School of Arts and Sciences, University of Pennsylvania, Philadelphia, United States.
Yael HeymanDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, United States.
Arjun RajDepartment of Bioengineering, School of Engineering and Applied Sciences, University of Pennsylvania, Philadelphia, United States.ORCID https://orcid.org/0000-0002-2915-6960

Funding

Engineering and Imaging 3D genome structure-function dynamics across time scalesU01DK127405 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI BLOBEL, GERD A, PHILLIPS-CREMINS, JENNIFER ELIZABETH · 2020 to 2024
$5.7M
Decoding the bridges and barriers to cellular reprogramming and lineage identityR01GM137425 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI JAIN, RAJAN, RAJ, ARJUN · 2019 to 2023
$5.6M
An integrated approach to melanoma metastasis and therapy resistance: effects of age-related changes in the ECM and the biomechanics of the skinR01CA232256 · NCI · WISTAR INSTITUTE · PI CUKIERMAN, EDNA, RAJ, ARJUN · 2019 to 2023
$3.0M
Understanding and Overcoming Resistance to BRAF/MEK Kinase Inhibitors in MelanomaR01CA238237 · NCI · UNIVERSITY OF PENNSYLVANIA · PI HERLYN, MEENHARD F, RAJ, ARJUN · 2020 to 2024
$2.9M
Damon Runyon Cancer Research Foundation DRG-2465-22NCI NIH HHS R01 CA232256NCI NIH HHS R01 CA238237NIDDK NIH HHS U01 DK127405NIGMS NIH HHS R01 GM137425The John Templeton Foundation Grant 63532
6 · The paper itself

Abstract

Gastruloids are stem-cell-based models that recapitulate key aspects of mammalian gastrulation, including the formation of an anterior-posterior axis. However, we do not have detailed spatial information about gene expression and cell type organization, particularly at the level of individual gastruloids. Here, we report a spatially resolved, single-cell molecular catalog of the transcriptomes of 26 individual gastruloids. We found that cell type composition and tissue-scale spatial organization were largely consistent across gastruloids, but meso-scale patterning of specific cell types varied between samples. Posterior cell types formed distinct, organized clusters, while anterior cell types were more disorganized. To distinguish progressive differentiation from cell type differences, we developed the L-score, a parameter-free quantification of mutually exclusive gene expression. This analysis revealed spatial organization without explicit encoding, recapitulated known cell type relationships, and identified novel gene expression states and spatial subclusters within cell types. We confirmed that in gastruloids, neuromesodermal precursor differentiation occurred through a continuous, spatially coordinated process. We also showed that endothelial precursors exhibited unique spatial organization and had distinct gene expression profiles dependent on their association with anterior somitic or posterior endodermal tissues. This work enables the rigorous use of gastruloids as models for studying the molecular mechanisms underlying mammalian development and tissue organization and introduces new computational tools for analyzing spatially resolved single-cell datasets.

Indexed as

GastrulaGastrulationGene Expression Regulation, DevelopmentalSingle-Cell AnalysisAnimalsCell DifferentiationGene Expression ProfilingSingle-Cell Gene Expression AnalysisSpatial Transcriptomicscomputational biologydevelopmental biologygastrulationgastruloidsmouseorganoid modelspatial transcriptomicssystems biology

Identifiers

PMID42808695
PMCPMC13623378

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.