ReviewCurrent opinion in genetics & development2010
Approaching the molecular origins of collective dynamics in oscillating cell populations.
Review in Current opinion in genetics & development, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- Rules of life at the interface of calcium signaling and mechanobiology.APL bioengineering · 2025Review
- Formation of recurring transient CaProceedings of the National Academy of Sciences of the United States of America · 2024Article
- Cooperation in bioluminescence: understanding the role of autoinducers by a stochastic random resistor model.The European physical journal. E, Soft matter · 2023Article
- Eco-evolutionary significance of "loners".PLoS biology · 2020Article
- Synchrony and pattern formation of coupled genetic oscillators on a chip of artificial cells.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Article
- Communication shapes sensory response in multicellular networks.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
- Regulation of Spatiotemporal Patterns by Biological Variability: General Principles and Applications to Dictyostelium discoideum.PLoS computational biology · 2015Review
- Modeling oscillations and spiral waves in Dictyostelium populations.Physical review. E, Statistical, nonlinear, and soft matter physics · 2015Article
- From intracellular signaling to population oscillations: bridging size- and time-scales in collective behavior.Molecular systems biology · 2015Article
- Secreting and sensing the same molecule allows cells to achieve versatile social behaviors.Science (New York, N.Y.) · 2014Article
- Article
- Kuramoto model with coupling through an external medium.Chaos (Woodbury, N.Y.) · 2012Article
- Dynamical quorum-sensing in oscillators coupled through an external medium.Physica D. Nonlinear phenomena · 2012Article
- Understanding microbial cooperation.Journal of theoretical biology · 2012Review
- Information processing and integration with intracellular dynamics near critical point.Frontiers in physiology · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
From flocking birds, to organ generation, to swarming bacterial colonies, biological systems often exhibit collective behaviors. Here, we review recent advances in our understanding of collective dynamics in cell populations. We argue that understanding population-level oscillations requires examining the system under consideration at three different levels of complexity: at the level of isolated cells, homogenous populations, and spatially structured populations. We discuss the experimental and theoretical challenges this poses and highlight how new experimental techniques, when combined with conceptual tools adapted from physics, may help us overcome these challenges.
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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.