Evidence map›Paper›PMID 28405746›Full record

ArticleJournal of mathematical biology2017

Structured models of cell migration incorporating molecular binding processes.

Pia Domschke, Dumitru Trucu, Alf Gerisch, Mark A J Chaplain

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In one paragraph

Article in Journal of mathematical biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact, top 100% 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

10 citing papers in PubMed, 0 citations in OpenAlex.

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  6. Mathematical models for cell migration: a non-local perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2020
    Review
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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

4 authors at 3 institutions in 2 countries.

Pia DomschkeFachbereich Mathematik, Technische Universität Darmstadt, Dolivostr. 15, 64293, Darmstadt, Germany. domschke@mathematik.tu-darmstadt.de.
Dumitru TrucuDivision of Mathematics, University of Dundee, Dundee, DD1 4HN, UK.
Alf GerischFachbereich Mathematik, Technische Universität Darmstadt, Dolivostr. 15, 64293, Darmstadt, Germany.
Mark A J ChaplainSchool of Mathematics and Statistics, Mathematical Institute, University of St Andrews, St Andrews, KY16 9SS, UK.
Technical University of Darmstadt · DEUniversity of Dundee · GBUniversity of St Andrews · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamic interplay between collective cell movement and the various molecules involved in the accompanying cell signalling mechanisms plays a crucial role in many biological processes including normal tissue development and pathological scenarios such as wound healing and cancer. Information about the various structures embedded within these processes allows a detailed exploration of the binding of molecular species to cell-surface receptors within the evolving cell population. In this paper we establish a general spatio-temporal-structural framework that enables the description of molecular binding to cell membranes coupled with the cell population dynamics. We first provide a general theoretical description for this approach and then illustrate it with three examples arising from cancer invasion.

Indexed as

Models, BiologicalCell CommunicationCell MovementCell ProliferationComputer SimulationExtracellular MatrixHumansMathematical ConceptsMatrix Metalloproteinase 14Neoplasm InvasivenessReceptors, Cell SurfaceReceptors, Urokinase Plasminogen ActivatorSignal TransductionUrokinase-Type Plasminogen ActivatorMatrix Metalloproteinase 14MMP14 protein, humanPLAUR protein, humanReceptors, Cell SurfaceReceptors, Urokinase Plasminogen ActivatorUrokinase-Type Plasminogen ActivatorCancer invasionCell-surface receptorsSpatio-temporal modelStructured population model

Identifiers

PMID28405746
OpenAlexW2502180057

What OpenQuestion holds

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Registered trials

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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.