Evidence map›Paper›PMID 42803274›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

The Interplay of Curvature, Geometry, and Topology Shapes Tissue Organisation in Epithelial Shells.

Laura Morato, Jesús A Andrés-San Román, Juan Garrido-García, Carmen Gordillo-Vázquez, Ana M Palacios, Elisabeth Lidueña-Fernández, Katie McDole, Pedro Gómez-Gálvez, Valentina Annese, Luis M Escudero

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 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

10 authors.

Laura Morato *Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
Jesús A Andrés-San Román *Instituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
Juan Garrido-GarcíaInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Matemática Aplicada I, Universidad de Sevilla, Seville, Spain.
Carmen Gordillo-VázquezInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
Ana M PalaciosInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
Elisabeth Lidueña-FernándezInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
Katie McDoleMRC Laboratory of Molecular Biology, Cambridge, UK.
Pedro Gómez-GálvezInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.ORCID https://orcid.org/0000-0002-0509-227X
Valentina AnneseInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.
Luis M EscuderoInstituto de Biomedicina de Sevilla (IBiS), Hospital Universitario Virgen del Rocío/CSIC/Universidad de Sevilla, Departamento de Biología Celular, Facultad de Biología, Universidad de Sevilla, Seville, Spain.ORCID https://orcid.org/0000-0001-8030-1820

Funding

SPERMIDINE DERIVATIVES AS POTENTIAL ANTICANCER AGENTSR01CA022153 · NCI · ROSWELL PARK CANCER INSTITUTE CORP · PI PORTER, CARL W · 1985 to 2007
$2.6M
AEI/MICIN - 'Contrato predoctoral para la formación de doctores' PRE2020-093682Junta de Andalucía (CUII) and the European Social Fund Plus (FSE+) DGP_POST_2024_00591Margarita Salas programme - NextGenerationEU MSALAS-2022-20074Medical Research Council MCUP1201/23Ministerio de Ciencia e Innovación of Spain PID2019-103900GB-I00Ministerio de Ciencia e Innovación of Spain PID2022-137101NB-I00Ministerio de Universidades - 'Contrato predoctoral para la formación de profesorado Universitario' (FPU21/03963)NCI NIH HHS R01 CA022153Programme FORTALECE FORT23/00008
6 · The paper itself

Abstract

During morphogenesis, multicellular patterns emerge from coordinated processes at the single-cell level. This is characterised in flat epithelial layers, where average neighbour distributions follow conserved arrangements. However, less is known about how curvature defines tissue architecture. Epithelial shells constitute a critical structural stage in early mammalian embryonic development. Our analysis reveals how the closed, curved geometry of epithelial shells limits their 3D organisation. Here, we designed computational models that predict shell surface topology across different cell numbers. To validate the model, MDCK cysts with precise cell-level segmentation were analysed. Our results show that more pentagons are required to accommodate higher curvature per cell patch, a restriction also observed in early mouse embryos. Small cysts and embryos exhibited a restricted subset of polygon configurations, predominantly those maximising the area-to-perimeter ratio. We conclude that epithelial shells are organised under general rules mirroring other natural cages, revealing that geometric and curvature constraints guide early epithelial organisation.

Indexed as

curvatureepithelial shellstissue topologyvoronoi diagrams

Identifiers

PMID42803274
PMCPMC13617628

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.