Evidence map›Paper›PMID 31819049›Full record

ArticleNature communications2019

Emergence of collective oscillations in adaptive cells.

Shou-Wen Wang, Lei-Han Tang

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 34% of its field
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

7 citing papers in PubMed, 21 citations in OpenAlex.

  1. Review
  2. Article
  3. Perspectives in Plant Abiotic Stress Signaling.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
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

2 authors at 2 institutions in 3 countries.

Shou-Wen WangBeijing Computational Science Research Center, Beijing, 100094, China. shouwen_wang@hms.harvard.edu.ORCID http://orcid.org/0000-0003-4569-1194
Lei-Han TangBeijing Computational Science Research Center, Beijing, 100094, China. lhtang@csrc.ac.cn.ORCID http://orcid.org/0000-0002-2925-4691
Harvard University · USHong Kong Baptist University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Collective oscillations of cells in a population appear under diverse biological contexts. Here, we establish a set of common principles by categorising the response of individual cells against a time-varying signal. A positive intracellular signal relay of sufficient gain from participating cells is required to sustain the oscillations, together with phase matching. The two conditions yield quantitative predictions for the onset cell density and frequency in terms of measured single-cell and signal response functions. Through mathematical constructions, we show that cells that adapt to a constant stimulus fulfil the phase requirement by developing a leading phase in an active frequency window that enables cell-to-signal energy flow. Analysis of dynamical quorum sensing in several cellular systems with increasing biological complexity reaffirms the pivotal role of adaptation in powering oscillations in an otherwise dissipative cell-to-cell communication channel. The physical conditions identified also apply to synthetic oscillatory systems.

Indexed as

Adaptation, PhysiologicalQuorum SensingComputer SimulationGlycolysisModels, BiologicalNonlinear DynamicsSaccharomyces cerevisiae

Identifiers

PMID31819049
PMCPMC6901517
OpenAlexW2991955522

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.