Evidence of universal conformal invariance in living biological matter

The emergent dynamics of collective cellular movement are typically thought to depend on how cells interact with one another and the mechanisms used to drive motility, both of which exhibit remarkable diversity across different biological systems. Here we report experimental evidence of a universal feature in the patterns of flow that spontaneously emerge in groups of collectively moving cells. Specifically, we demonstrate that the flows generated by collectively moving dog kidney cells, human breast cancer cells and two different strains of pathogenic bacteria exhibit robust conformal invariance. We also show that the precise form of invariance in all four systems is described by the Schramm-Loewner evolution-a family of planar curves defined by a single parameter-and belongs to the percolation universality class. The presence of universal conformal invariance reveals that the macroscopic features of living biological matter exhibit universal translational, rotational and scale symmetries that are independent of the microscopic properties of its constituents. Our results show that flow patterns generated by different systems are highly conserved and that biological systems can be used to experimentally test predictions from the theories for conformally invariant structures.

Authors

Institutions

Publication Details

Journal
Nature Physics
Published
2025-03-14
DOI
https://doi.org/10.1038/s41567-025-02791-2
Citations
2
Primary Topic
Advanced Thermodynamics and Statistical Mechanics
Type
article
Field-Weighted Citation Impact
2.65

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evidence of universal conformal invariance in living biological matter

Simon Guldager Andersen, Oliver J. Meacock, Amin Doostmohammadi, Valeriia Grudtsyna et al.
2 citations
Nature Physics
Advanced Thermodynamics and Statistical Mechanics
2.65
article

Evidence of universal conformal invariance in living biological matter

Simon Guldager Andersen, Oliver J. Meacock, Amin Doostmohammadi, Valeriia Grudtsyna, William M. Durham, Benjamin H. Andersen, N. A. M. Araújo, Francisco M. R. Safara
article en
2 citations

Abstract

The emergent dynamics of collective cellular movement are typically thought to depend on how cells interact with one another and the mechanisms used to drive motility, both of which exhibit remarkable diversity across different biological systems. Here we report experimental evidence of a universal feature in the patterns of flow that spontaneously emerge in groups of collectively moving cells. Specifically, we demonstrate that the flows generated by collectively moving dog kidney cells, human breast cancer cells and two different strains of pathogenic bacteria exhibit robust conformal invariance. We also show that the precise form of invariance in all four systems is described by the Schramm-Loewner evolution-a family of planar curves defined by a single parameter-and belongs to the percolation universality class. The presence of universal conformal invariance reveals that the macroscopic features of living biological matter exhibit universal translational, rotational and scale symmetries that are independent of the microscopic properties of its constituents. Our results show that flow patterns generated by different systems are highly conserved and that biological systems can be used to experimentally test predictions from the theories for conformally invariant structures.

Nature PhysicsVol. 21(4)
University of Copenhagen (DK), University of Lisbon (PT), University of Sheffield (GB), University of Lausanne (CH)
Villum Fonden, European Commission, Novo Nordisk, Novo Nordisk Fonden, Directorate for Biological Sciences, Biotechnology and Biological Sciences Research Council, Fundação para a Ciência e a Tecnologia
Openalex Percentile: Top 12%
Advanced Thermodynamics and Statistical Mechanics
2.65
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.