ArticlePhilosophical transactions of the Royal Society of London. Series B, Biological sciences2020
Multi-scale analysis and modelling of collective migration in biological systems.
Article in Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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.
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Who cites it
8 citing papers in PubMed, 42 citations in OpenAlex.
- Migration of Cardiac Cells: Hot Topics that have not Attracted Clinical Attention.International journal of medical sciences · 2026Review
- Collective phases and long-term dynamics in a fish school model with burst-and-coast swimming.Royal Society open science · 2025Article
- Dynamics of multicellular swirling on micropatterned substrates.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Predicting the long-term collective behaviour of fish pairs with deep learning.Journal of the Royal Society, Interface · 2024Article
- Tuning social interactions' strength drives collective response to light intensity in schooling fish.PLoS computational biology · 2023Article
- The impact of individual perceptual and cognitive factors on collective states in a data-driven fish school model.PLoS computational biology · 2022Article
- Computational modelling of cell motility modes emerging from cell-matrix adhesion dynamics.PLoS computational biology · 2022Article
- Cellular sociology regulates the hierarchical spatial patterning and organization of cells in organisms.Open biology · 2020Review
Corrections and comments
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Authors and funding
4 authors at 4 institutions in 6 countries.
Funding
Abstract
Collective migration has become a paradigm for emergent behaviour in systems of moving and interacting individual units resulting in coherent motion. In biology, these units are cells or organisms. Collective cell migration is important in embryonic development, where it underlies tissue and organ formation, as well as pathological processes, such as cancer invasion and metastasis. In animal groups, collective movements may enhance individuals' decisions and facilitate navigation through complex environments and access to food resources. Mathematical models can extract unifying principles behind the diverse manifestations of collective migration. In biology, with a few exceptions, collective migration typically occurs at a 'mesoscopic scale' where the number of units ranges from only a few dozen to a few thousands, in contrast to the large systems treated by statistical mechanics. Recent developments in multi-scale analysis have allowed linkage of mesoscopic to micro- and macroscopic scales, and for different biological systems. The articles in this theme issue on 'Multi-scale analysis and modelling of collective migration' compile a range of mathematical modelling ideas and multi-scale methods for the analysis of collective migration. These approaches (i) uncover new unifying organization principles of collective behaviour, (ii) shed light on the transition from single to collective migration, and (iii) allow us to define similarities and differences of collective behaviour in groups of cells and organisms. As a common theme, self-organized collective migration is the result of ecological and evolutionary constraints both at the cell and organismic levels. Thereby, the rules governing physiological collective behaviours also underlie pathological processes, albeit with different upstream inputs and consequences for the group. This article is part of the theme issue 'Multi-scale analysis and modelling of collective migration in biological systems'.
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Registered trials
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.