Evidence map›Paper›PMID 25617347›Full record

ArticleMolecular systems biology2015

From intracellular signaling to population oscillations: bridging size- and time-scales in collective behavior.

Allyson E Sgro, David J Schwab, Javad Noorbakhsh, Troy Mestler, Pankaj Mehta, Thomas Gregor

Abstract read
In one paragraph

Article in Molecular systems biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed.

  1. Many Cells Make Light Work: Self-Generated Gradients OrganizeCold Spring Harbor perspectives in biology · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Allyson E SgroJoseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA asgro@princeton.edu.
David J SchwabJoseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.
Javad NoorbakhshDepartment of Physics, Boston University, Boston, MA, USA.
Troy MestlerJoseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA.
Pankaj MehtaDepartment of Physics, Boston University, Boston, MA, USA.
Thomas GregorJoseph Henry Laboratories of Physics, Princeton University, Princeton, NJ, USA Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ, USA.

Funding

Spatial Patterning During DevelopmentP50GM071508 · NIGMS · PRINCETON UNIVERSITY · PI THIBERGE, STEPHAN · 2004 to 2013
$30.6M
Controlling collective behavior in eukaryotic cell populationsR01GM098407 · NIGMS · PRINCETON UNIVERSITY · PI GREGOR, THOMAS · 2012 to 2015
$1.1M
A quantitative study of cell-to-cell communication in bacteriaK25GM086909 · NIGMS · PRINCETON UNIVERSITY · PI MEHTA, PANKAJ · 2008 to 2012
$644k
Excitability in Dictyostelium DevelopmentK25GM098875 · NIGMS · PRINCETON UNIVERSITY · PI SCHWAB, DAVID JASON · 2012 to 2016
$620k
Characterization of single-cell dynamics that lead to collective behaviorsF32GM103062 · NIGMS · PRINCETON UNIVERSITY · PI SGRO, ALLYSON E · 2013 to 2014
$102k
NIGMS NIH HHS F32 GM103062NIGMS NIH HHS K25 GM086909NIGMS NIH HHS K25 GM098875NIGMS NIH HHS NIH K25 GM086909NIGMS NIH HHS NIH K25 GM098875NIGMS NIH HHS P50 GM071508NIGMS NIH HHS R01 GM098407
6 · The paper itself

Abstract

Collective behavior in cellular populations is coordinated by biochemical signaling networks within individual cells. Connecting the dynamics of these intracellular networks to the population phenomena they control poses a considerable challenge because of network complexity and our limited knowledge of kinetic parameters. However, from physical systems, we know that behavioral changes in the individual constituents of a collectively behaving system occur in a limited number of well-defined classes, and these can be described using simple models. Here, we apply such an approach to the emergence of collective oscillations in cellular populations of the social amoeba Dictyostelium discoideum. Through direct tests of our model with quantitative in vivo measurements of single-cell and population signaling dynamics, we show how a simple model can effectively describe a complex molecular signaling network at multiple size and temporal scales. The model predicts novel noise-driven single-cell and population-level signaling phenomena that we then experimentally observe. Our results suggest that like physical systems, collective behavior in biology may be universal and described using simple mathematical models.

Indexed as

Signal TransductionDictyosteliumGene Expression RegulationImage Processing, Computer-AssistedMicrofluidic Analytical TechniquesMolecular Dynamics Simulationdynamical systemsFRETlive microscopyphenomenological modeling

Identifiers

PMID25617347
PMCPMC4332153

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Registered trials

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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.