Evidence map›Paper›PMID 38896328›Full record

ArticleBulletin of mathematical biology2024

Optimal Control of Collective Electrotaxis in Epithelial Monolayers.

Simon F Martina-Perez, Isaac B Breinyn, Daniel J Cohen, Ruth E Baker

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Computational models in directed cell migration.Frontiers in cell and developmental biology · 2026
    Review
  2. Review
  3. Article
  4. Galvanotactic directionality of cell groups depends on group size.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Simon F Martina-PerezMathematical Institute, University of Oxford, Oxford, UK. martinaperez@maths.ox.ac.uk.ORCID http://orcid.org/0000-0001-8596-8595
Isaac B BreinynDepartment of Quantitative and Computational Biology, Princeton University, Princeton, NJ, USA.
Daniel J CohenDepartment of Mechanical and Aerospace Engineering, Princeton University, Princeton, NJ, USA.
Ruth E BakerMathematical Institute, University of Oxford, Oxford, UK.

Funding

Understanding and controlling collective cell behaviorsR35GM133574 · NIGMS · PRINCETON UNIVERSITY · PI Daniel Cohen · 2019 to 2026
$3.2M
Foundation for the National Institutes of Health R35 GM133574-03National Science Foundation CAREER Award 2046977NIGMS NIH HHS R35 GM133574Simons Foundation MP-SIP-00001828
6 · The paper itself

Abstract

Epithelial monolayers are some of the best-studied models for collective cell migration due to their abundance in multicellular systems and their tractability. Experimentally, the collective migration of epithelial monolayers can be robustly steered e.g. using electric fields, via a process termed electrotaxis. Theoretically, however, the question of how to design an electric field to achieve a desired spatiotemporal movement pattern is underexplored. In this work, we construct and calibrate an ordinary differential equation model to predict the average velocity of the centre of mass of a cellular monolayer in response to stimulation with an electric field. We use this model, in conjunction with optimal control theory, to derive physically realistic optimal electric field designs to achieve a variety of aims, including maximising the total distance travelled by the monolayer, maximising the monolayer velocity, and keeping the monolayer velocity constant during stimulation. Together, this work is the first to present a unified framework for optimal control of collective monolayer electrotaxis and provides a blueprint to optimally steer collective migration using other external cues.

Indexed as

Cell MovementEpithelial CellsMathematical ConceptsModels, BiologicalAnimalsComputer SimulationDogsHumansMadin Darby Canine Kidney CellsTaxis ResponseCollective migrationElectrotaxisEpithelial monolayersOptimal control

Identifiers

PMID38896328
PMCPMC11186957

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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.