Evidence map›Paper›PMID 21521184›Full record

ReviewDevelopment, growth & differentiation2011

Cell density sensing and size determination.

Richard H Gomer, Wonhee Jang, Derrick Brazill

Open access · bronzeAbstract readReview
In one paragraph

Review in Development, growth & differentiation, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

25 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Transcriptional milestones inGenome research · 2021
    Article
  5. Article
  6. WildEcology and evolution · 2020
    Article
  7. Article
  8. Article
  9. Article
  10. Controlling organism size by regulating constituent cell numbers.Proceedings of the ... IEEE Conference on Decision & Control. IEEE Conference on Decision & Control · 2018
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

3 authors at 3 institutions in 2 countries.

Richard H GomerDepartment of Biology, ILSB MS 3474, Texas A&M University, College Station, Texas 77843-3474, USA. rgomer@tamu.edu
Wonhee Jang
Derrick Brazill
Dongguk University · KRHunter College · USTexas A&M University · US

Funding

WILD TYPE &MUTANT P53 INTERACTIONS WITH HIV LTR DNAG12RR003037 · NCRR · HUNTER COLLEGE · PI DOTTIN, ROBERT P · 1985 to 2011
$27.6M
UBIQUITINATED PROTEIN DEGRADATION AND NEURODEGENERATIONS06GM060654 · NIGMS · HUNTER COLLEGE · PI LUINE, VICTORIA N · 2000 to 2011
$21.2M
An autocrine repressor of cell proliferationR01GM074990 · NIGMS · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI GOMER, RICHARD H · 2006 to 2009
$1.1M
NCRR NIH HHS G12 RR003037NCRR NIH HHS RR03037NIGMS NIH HHS GM074990NIGMS NIH HHS R01 GM074990NIGMS NIH HHS S06 GM060654NIGMS NIH HHS S06-GM606564
6 · The paper itself

Abstract

The social amoeba Dictyostelium discoideum is one of the leading model systems used to study how cells count themselves to determine the number and/or density of cells. In this review, we describe work on three different cell-density sensing systems used by Dictyostelium. The first involves a negative feedback loop in which two secreted signals inhibit cell proliferation during the growth phase. As the cell density increases, the concentrations of the secreted factors concomitantly increase, allowing the cells to sense their density. The two signals act as message authenticators for each other, and the existence of two different signals that require each other for activity may explain why previous efforts to identify autocrine proliferation-inhibiting signals in higher eukaryotes have generally failed. The second system involves a signal made by growing cells that is secreted only when they starve. This then allows cells to sense the density of just the starving cells, and is an example of a mechanism that allows cells in a tissue to sense the density of one specific cell type. The third cell density counting system involves cells in aggregation streams secreting a signal that limits the size of fruiting bodies. Computer simulations predicted, and experiments then showed, that the factor increases random cell motility and decreases cell-cell adhesion to cause streams to break up if there are too many cells in the stream. Together, studies on Dictyostelium cell density counting systems will help elucidate how higher eukaryotes regulate the size and composition of tissues.

Indexed as

Cell CountCell SizeCell ProliferationCyclic AMPDictyosteliumProtozoan ProteinsQuorum SensingSignal TransductionCyclic AMPProtozoan Proteins

Identifiers

PMID21521184
PMCPMC3097309
OpenAlexW1521000075

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.