Evidence map›Paper›PMID 42531340›Full record

ArticlePLoS computational biology2026

A geometric-surface PDE model for cell-nucleus translocation through confinement.

Francesca Ballatore, Anotida Madzvamuse, Cécile Jebane, Emmanuèle Helfer, Rachele Allena

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

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Francesca BallatoreLaboratoire Jean Alexandre Dieudonné, CNRS UMR7351, Université Côte d'Azur, Nice, France.ORCID https://orcid.org/0009-0002-6657-2768
Anotida MadzvamuseMathematics Department, University of British Columbia, Vancouver, Canada.ORCID https://orcid.org/0000-0002-9511-8903
Cécile JebaneAix Marseille Univ, CNRS, CINAM, Turing Centre for Living Systems, Marseille, France.
Emmanuèle HelferAix Marseille Univ, CNRS, CINAM, Turing Centre for Living Systems, Marseille, France.
Rachele AllenaLaboratoire Jean Alexandre Dieudonné, CNRS UMR7351, Université Côte d'Azur, Nice, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding how cells migrate through confined environments is crucial for elucidating fundamental biological processes, including cancer invasion, immune surveillance, and tissue morphogenesis. The nucleus, as the largest and stiffest cellular organelle, often limits cellular deformability, making it a key factor in migration through narrow pores or highly constrained spaces. In this work, we introduce a geometric surface partial differential equation (GS-PDE) model in which the cell plasma membrane and nuclear envelope are described as evolving energetic closed surfaces governed by force-balance equations. We replicate the results of a biophysical experiment, in which a microfluidic device is used to impose compressive stresses on cells by driving them through narrow microchannels under a controlled pressure gradient. The model is validated by reproducing cell entry into the microchannels. A parametric sensitivity analysis highlights the dominant influence of specific parameters, whose accurate estimation is essential to faithfully capture the experimental setup. We found that surface tension and confinement geometry emerge as key determinants of translocation efficiency. Although tailored to this specific setup for validation purposes, the framework is sufficiently general to be applied to a broad range of cell mechanics scenarios, providing a robust and flexible tool for investigating the interplay between cell mechanics and confinement. It also offers a solid foundation for future extensions integrating more complex biochemical processes such as active confined migration.

Indexed as

Active Transport, Cell NucleusCell MovementCell NucleusModels, BiologicalAnimalsCell MembraneComputational BiologyComputer SimulationNuclear Envelope

Identifiers

PMID42531340
PMCPMC13456492

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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.