Evidence map›Paper›PMID 39474790›Full record

ArticleJournal of the Royal Society, Interface2024

Variations in non-local interaction range lead to emergent chase-and-run in heterogeneous populations.

Kevin J Painter, Valeria Giunta, Jonathan R Potts, Sara Bernardi

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Aggregation-diffusion in heterogeneous environments.Journal of mathematical biology · 2025
    Article
  3. Article
  4. Article
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

4 authors.

Kevin J PainterDipartimento Interateneo di Scienze, Progetto e Politiche del Territorio (DIST), Politecnico di Torino, Viale Pier Andrea Mattioli 39, Turin 10125, Italy.ORCID 0000-0003-3273-6031
Valeria GiuntaDepartment of Mathematics, Swansea University, Computational Foundry, Bay Campus, Swansea SA1 8EN, UK.ORCID 0000-0003-1156-7136
Jonathan R PottsSchool of Mathematical and Physical Sciences, University of Sheffield, Hounsfield Road, Sheffield S3 7RH, UK.ORCID 0000-0002-8564-2904
Sara BernardiDepartment of Mathematical Sciences 'G. L. Lagrange', Politecnico di Torino, Corso Duca degli Abruzzi 24, Torino 10129, Italy.ORCID 0000-0002-3232-1664

Funding

Engineering and Physical Sciences Research CouncilIstituto Nazionale di Alta Matematica \"Francesco Severi\"
6 · The paper itself

Abstract

In a chase-and-run dynamic, the interaction between two individuals is such that one moves towards the other (the chaser), while the other moves away (the runner). Examples can be found in both interacting cells and animals. Here, we investigate the behaviours that can emerge at a population level, for a heterogeneous group that contains subpopulations of chasers and runners. We show that a wide variety of patterns can form, from stationary patterns to oscillatory and population-level chase-and-run, where the latter describes a synchronized collective movement of the two populations. We investigate the conditions under which different behaviours arise, specifically focusing on the interaction ranges: the distances over which cells or organisms can sense one another's presence. We find that when the interaction range of the chaser is sufficiently larger than that of the runner-or when the interaction range of the chase is sufficiently larger than that of the run-population-level chase-and-run emerges in a robust manner. We discuss the results in the context of phenomena observed in cellular and ecological systems, with particular attention to the dynamics observed experimentally within populations of neural crest and placode cells.

Indexed as

Models, BiologicalAnimalsNeural CrestPopulation Dynamicschase-and-runinteraction rangenon-local advection–diffusion PDEspattern formation

Identifiers

PMID39474790
PMCPMC11522976

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.