ReviewNature reviews. Physics2023
Proliferating active matter.
Review in Nature reviews. Physics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.
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.
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.
Who cites it
33 citing papers in PubMed.
- Morphogenesis of bacterial colonies in liquid crystalline environments.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- A minimal mechanically consistent model of smoothly dividing disk-shaped cells.NPJ systems biology and applications · 2026Article
- A universal scaling law for active diffusion in complex media.Nature communications · 2026Article
- Visualizing Dynamic Processes in Energy Materials by Interferometric Scattering Microscopy.ACS energy letters · 2026Review
- Formation of a swelling gel underlies a morphological transition inbioRxiv : the preprint server for biology · 2026Article
- Morphodynamics of surface-attached active drops.Nature communications · 2026Article
- Elasticity promotes directional transport ofSoft matter · 2026Article
- Selective Trapping of Bacteria in Porous Media by Cell Length.Integrative and comparative biology · 2026Article
- Partial fluidization theory of collective cell migration.Communications physics · 2026Article
- BARCODE: high throughput screening and analysis of soft active materials.Nature communications · 2025Article
- Spatial self-organization of confined bacterial suspensions.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Eco-Inspired terraform networks emerge from material self-organization.Scientific reports · 2025Article
- Topology in Thermal, Particle, and Plasma Diffusion Metamaterials.Chemical reviews · 2025Review
- Nonlinear memory in cell-division dynamics across species.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Sociohydrodynamics: Data-driven modeling of social behavior.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Spatio-temporal patterns in growing bacterial suspensions.Scientific reports · 2025Article
- Biophysical metabolic modeling of complex bacterial colony morphology.Cell systems · 2025Article
- Dissecting the physics of bacterial biofilms with agent-based simulations.Current opinion in solid state & materials science · 2025Article
- Control of tissue flows and embryo geometry in avian gastrulation.Nature communications · 2025Article
- Lane formation in criss-crossing crowds.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
Abstract
The fascinating patterns of collective motion created by autonomously driven particles have fuelled active-matter research for over two decades. So far, theoretical active-matter research has often focused on systems with a fixed number of particles. This constraint imposes strict limitations on what behaviours can and cannot emerge. However, a hallmark of life is the breaking of local cell number conservation by replication and death. Birth and death processes must be taken into account, for example, to predict the growth and evolution of a microbial biofilm, the expansion of a tumour, or the development from a fertilized egg into an embryo and beyond. In this Perspective, we argue that unique features emerge in these systems because proliferation represents a distinct form of activity: not only do the proliferating entities consume and dissipate energy, they also inject biomass and degrees of freedom capable of further self-proliferation, leading to myriad dynamic scenarios. Despite this complexity, a growing number of studies document common collective phenomena in various proliferating soft-matter systems. This generality leads us to propose proliferation as another direction of active-matter physics, worthy of a dedicated search for new dynamical universality classes. Conceptual challenges abound, from identifying control parameters and understanding large fluctuations and nonlinear feedback mechanisms to exploring the dynamics and limits of information flow in self-replicating systems. We believe that, by extending the rich conceptual framework developed for conventional active matter to proliferating active matter, researchers can have a profound impact on quantitative biology and reveal fascinating emergent physics along the way.
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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.