ReviewProceedings. Biological sciences2013
Cutting through the complexity of cell collectives.
Review in Proceedings. Biological sciences, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 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
71 citing papers in PubMed.
- Temperate phages limit their own propagation under spatial constraint in biofilms on chitin.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Harnessing emergent properties of microbial consortia for Agriculture: Assembly of the Xilonen SynCom.Biofilm · 2025Article
- Geometry-induced competitive release in a meta-population model of range expansions in disordered environments.Journal of the Royal Society, Interface · 2025Article
- Multiplicity of type 6 secretion system toxins limits the evolution of resistance.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Open problems in synthetic multicellularity.NPJ systems biology and applications · 2024Article
- Quantifying massively parallel microbial growth with spatially mediated interactions.PLoS computational biology · 2024Article
- On the possibility of engineering social evolution in microfluidic environments.Biophysical journal · 2024Article
- Is it selfish to be filamentous in biofilms? Individual-based modeling links microbial growth strategies with morphology using the new and modular iDynoMiCS 2.0.PLoS computational biology · 2024Article
- The effect of cooperator recognition on competition among clones in spatially structured microbial communities.PloS one · 2024Article
- Fluid flow structures gut microbiota biofilm communities by distributing public goods.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Agitated ants: regulation and self-organization of incipient nest excavation via collisional cues.Journal of the Royal Society, Interface · 2023Article
- Marine biofilms: diversity, interactions and biofouling.Nature reviews. Microbiology · 2022Review
- Morphological instability and roughening of growing 3D bacterial colonies.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Social evolution of shared biofilm matrix components.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Ecological modelling approaches for predicting emergent properties in microbial communities.Nature ecology & evolution · 2022Review
- Subcritical escape waves in schooling fish.Science advances · 2022Article
- Spatial-temporal dynamics of a microbial cooperative behavior resistant to cheating.Nature communications · 2022Article
- Lineage dynamics in growing biofilms: Spatial patterns of standing vs.Frontiers in microbiology · 2022Article
- Tempos and modes of collectivity in the history of life.Theory in biosciences = Theorie in den Biowissenschaften · 2021Review
- Emergent spatiotemporal population dynamics with cell-length control of synthetic microbial consortia.PLoS computational biology · 2021Article
11 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
Via strength in numbers, groups of cells can influence their environments in ways that individual cells cannot. Large-scale structural patterns and collective functions underpinning virulence, tumour growth and bacterial biofilm formation are emergent properties of coupled physical and biological processes within cell groups. Owing to the abundance of factors influencing cell group behaviour, deriving general principles about them is a daunting challenge. We argue that combining mechanistic theory with theoretical ecology and evolution provides a key strategy for clarifying how cell groups form, how they change in composition over time, and how they interact with their environments. Here, we review concepts that are critical for dissecting the complexity of cell collectives, including dimensionless parameter groups, individual-based modelling and evolutionary theory. We then use this hybrid modelling approach to provide an example analysis of the evolution of cooperative enzyme secretion in bacterial biofilms.
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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.