Evidence map›Paper›PMID 30428376›Full record

ArticleiScience2018

Statistical Dynamics of Spatial-Order Formation by Communicating Cells.

Eduardo P Olimpio, Yiteng Dang, Hyun Youk

Open access · goldAbstract read
In one paragraph

Article in iScience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

16 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Microbial life in slow and stopped lanes.Trends in microbiology · 2024
    Review
  5. Article
  6. Embracing complexity in sepsis.Critical care (London, England) · 2023
    Review
  7. Review
  8. Article
  9. Article
  10. Clinical and translational values of spatial transcriptomics.Signal transduction and targeted therapy · 2022
    Review
  11. Thermal Resonance and Cell Behavior.Entropy (Basel, Switzerland) · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Review
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 at 1 institution in 1 country.

Eduardo P OlimpioKavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands; Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands.
Yiteng DangKavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands; Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands.
Hyun YoukKavli Institute of Nanoscience, Delft University of Technology, Delft, the Netherlands; Department of Bionanoscience, Delft University of Technology, Delft 2629HZ, the Netherlands. Electronic address: h.youk@tudelft.nl.
Delft University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Communicating cells can coordinate their gene expressions to form spatial patterns, generating order from disorder. Ubiquitous "secrete-and-sense cells" secrete and sense the same molecule to do so. Here we present a modeling framework-based on cellular automata and mimicking approaches of statistical mechanics-for understanding how secrete-and-sense cells with bistable gene expression, from disordered beginnings, can become spatially ordered by communicating through rapidly diffusing molecules. Classifying lattices of cells by two "macrostate" variables-"spatial index," measuring degree of order, and average gene-expression level-reveals a conceptual picture: a group of cells behaves as a single particle, in an abstract space, that rolls down on an adhesive "pseudo-energy landscape" whose shape is determined by cell-cell communication and an intracellular gene-regulatory circuit. Particles rolling down the landscape represent cells becoming more spatially ordered. We show how to extend this framework to more complex forms of cellular communication.

Indexed as

Complex SystemsStatistical PhysicsSystems Biology

Identifiers

PMID30428376
PMCPMC6135931
OpenAlexW2749325648

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.