Evidence map›Paper›PMID 36635563›Full record

ArticleNature chemical biology2023

Macroscopic quorum sensing sustains differentiating embryonic stem cells.

Hirad Daneshpour, Pim van den Bersselaar, Chun-Hao Chao, Thomas G Fazzio, Hyun Youk

Open access · hybridAbstract read
In one paragraph

Article in Nature chemical biology, 2023. 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
1.4field-weighted citation impact, top 21% 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, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Microbial life in slow and stopped lanes.Trends in microbiology · 2024
    Review
  6. Article
  7. Voices carry.Nature chemical biology · 2023
    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

5 authors at 2 institutions in 2 countries.

Hirad DaneshpourKavli Institute of Nanoscience, Delft, The Netherlands.
Pim van den BersselaarKavli Institute of Nanoscience, Delft, The Netherlands.
Chun-Hao ChaoDepartment of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Thomas G FazzioDepartment of Molecular, Cell, and Cancer Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA.
Hyun YoukDepartment of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA. hyun.youk@umassmed.edu.ORCID http://orcid.org/0000-0003-1687-5760
University of Massachusetts Chan Medical School · USCanadian Institute for Advanced Research · CA

Funding

European Research Council 677972
6 · The paper itself

Abstract

Cells can secrete molecules that help each other's replication. In cell cultures, chemical signals might diffuse only within a cell colony or between colonies. A chemical signal's interaction length-how far apart interacting cells are-is often assumed to be some value without rigorous justifications because molecules' invisible paths and complex multicellular geometries pose challenges. Here we present an approach, combining mathematical models and experiments, for determining a chemical signal's interaction length. With murine embryonic stem (ES) cells as a testbed, we found that differentiating ES cells secrete FGF4, among others, to communicate over many millimeters in cell culture dishes and, thereby, form a spatially extended, macroscopic entity that grows only if its centimeter-scale population density is above a threshold value. With this 'macroscopic quorum sensing', an isolated macroscopic, but not isolated microscopic, colony can survive differentiation. Our integrated approach can determine chemical signals' interaction lengths in generic multicellular communities.

Indexed as

Embryonic Stem CellsQuorum SensingAnimalsCell DifferentiationMiceModels, Theoretical

Identifiers

PMID36635563
PMCPMC10154202
OpenAlexW4315779490

What OpenQuestion holds

Textmetadata
LicenceTDM
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.