Evidence map›Paper›PMID 25671585›Full record

ArticlePloS one2015

A modeling approach to study the effect of cell polarization on keratinocyte migration.

Matthias Jörg Fuhr, Michael Meyer, Eric Fehr, Gilles Ponzio, Sabine Werner, Hans Jürgen Herrmann

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 36% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  2. 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

6 authors at 2 institutions in 2 countries.

Matthias Jörg FuhrETH Zurich, Institute for Building Materials, Computational Physics for Engineering Materials, Zurich, Switzerland.
Michael MeyerETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland.
Eric FehrETH Zurich, Institute for Building Materials, Computational Physics for Engineering Materials, Zurich, Switzerland.
Gilles PonzioCNRS, UMR 7275, Sophia Antipolis, Valbonne, France, and Université de Nice Sophia Antipolis, Nice, France.
Sabine WernerETH Zurich, Institute of Molecular Health Sciences, Zurich, Switzerland.
Hans Jürgen HerrmannETH Zurich, Institute for Building Materials, Computational Physics for Engineering Materials, Zurich, Switzerland.
ETH Zurich · CHCentre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The skin forms an efficient barrier against the environment, and rapid cutaneous wound healing after injury is therefore essential. Healing of the uppermost layer of the skin, the epidermis, involves collective migration of keratinocytes, which requires coordinated polarization of the cells. To study this process, we developed a model that allows analysis of live-cell images of migrating keratinocytes in culture based on a small number of parameters, including the radius of the cells, their mass and their polarization. This computational approach allowed the analysis of cell migration at the front of the wound and a reliable identification and quantification of the impaired polarization and migration of keratinocytes from mice lacking fibroblast growth factors 1 and 2--an established model of impaired healing. Therefore, our modeling approach is suitable for large-scale analysis of migration phenotypes of cells with specific genetic defects or upon treatment with different pharmacological agents.

Indexed as

Cell MovementModels, BiologicalAnimalsCell LineKeratinocytesMiceModels, MolecularMolecular ConformationMolecular Imaging

Identifiers

PMID25671585
PMCPMC4324939
OpenAlexW2070966360

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.