Evidence map›Paper›PMID 20685318›Full record

ArticleJournal of theoretical biology2010

A mathematical model of intercellular signaling during epithelial wound healing.

Filippo Posta, Tom Chou

Open access · greenAbstract read
In one paragraph

Article in Journal of theoretical biology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 29% 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

5 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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 1 country.

Filippo PostaDepartment of Biomathematics, UCLA, Los Angeles, CA 90095-1766, USA. fposta@ucla.edu
Tom Chou
UCLA Health · USUniversity of California, Los Angeles · US

Funding

Multiscale studies of HIV infection and treatmentK25AI058672 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI CHOU, TOM · 2004 to 2008
$567k
NIAID NIH HHS K25 AI058672NIAID NIH HHS K25AI058672
6 · The paper itself

Abstract

Recent experiments monitoring the healing process of wounded epithelial monolayers have demonstrated the necessity of MAPK activation for coordinated cell movement after damage. This MAPK activity is characterized by two wave-like phenomena. One MAPK "wave" that originates immediately after injury, propagates deep into the cell sheet, away from the edge, and then rebounds back to the wound interface. After this initial MAPK activity has largely disappeared, a second MAPK front propagates slowly from the wound interface and also continues into the cell sheet, maintaining a sustained level of MAPK activity throughout the cell sheet. It has been suggested that the first wave is initiated by Reactive Oxygen Species (ROS) generated at the time of injury. In this work, we develop a minimal mathematical model that reproduces the observed behavior. The main ingredients of our model are a competition between ligand (e.g., Epithelial Growth Factor) and ROS for the activation of Epithelial Growth Factor Receptor, and a feedback loop between receptor occupancy and MAPK activation. We explore the mathematical properties of the model and look for traveling wave solutions consistent with the experimentally observed MAPK activity patterns.

Indexed as

Models, BiologicalAlgorithmsAnimalsCell CommunicationCell MovementComputer SimulationEpidermal Growth FactorEpitheliumErbB ReceptorsFeedback, PhysiologicalKineticsLigandsMAP Kinase Signaling SystemPeptide HydrolasesReactive Oxygen SpeciesSignal TransductionEpidermal Growth FactorErbB ReceptorsLigandsPeptide HydrolasesReactive Oxygen Species

Identifiers

PMID20685318
PMCPMC4403800
OpenAlexW2124146325

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.