Evidence map›Paper›PMID 31954659›Full record

ArticleCell systems2020

Cellular Dialogues: Cell-Cell Communication through Diffusible Molecules Yields Dynamic Spatial Patterns.

Yiteng Dang, Douwe A J Grundel, Hyun Youk

Abstract read
In one paragraph

Article in Cell systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

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  7. Microbial life in slow and stopped lanes.Trends in microbiology · 2024
    Review
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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

3 authors.

Yiteng DangKavli Institute of Nanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands; Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands.
Douwe A J GrundelKavli Institute of Nanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands; Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands.
Hyun YoukKavli Institute of Nanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands; Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands; CIFAR, CIFAR Azrieli Global Scholars Program, Toronto, ON M5G 1M1, Canada. Electronic address: h.youk@tudelft.nl.

Funding

European Research Council 677972
6 · The paper itself

Abstract

Cells form spatial patterns by coordinating their gene expressions. How a group of mesoscopic numbers (hundreds to thousands) of cells, without pre-existing morphogen gradients and spatial organization, self-organizes spatial patterns remains poorly understood. Of particular importance are dynamic spatial patterns such as spiral waves that perpetually move and transmit information. We developed an open-source software for simulating a field of cells that communicate by secreting any number of molecules. With this software and a theory, we identified all possible "cellular dialogues"-ways of communicating with two diffusing molecules-that yield diverse dynamic spatial patterns. These patterns emerge despite widely varying responses of cells to the molecules, gene-expression noise, spatial arrangements, and cell movements. A three-stage, "order-fluctuate-settle" process forms dynamic spatial patterns: cells form long-lived whirlpools of wavelets that, following erratic dynamics, settle into a dynamic spatial pattern. Our work helps in identifying gene-regulatory networks that underlie dynamic pattern formations.

Indexed as

Cell CommunicationGene Regulatory NetworksHumansModels, Biologicalcell-cell communicationcellular automatacomplex systemsgene networksmulticellular systemspattern formationreaction-diffusionself organizationspatial patternswaves

Identifiers

PMID31954659
PMCPMC6975168

What OpenQuestion holds

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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.