Evidence map›Paper›PMID 23792690›Full record

ArticleNature cell biology2013

Matrix geometry determines optimal cancer cell migration strategy and modulates response to interventions.

Melda Tozluoğlu, Alexander L Tournier, Robert P Jenkins, Steven Hooper, Paul A Bates, Erik Sahai

Abstract read
PubMed Publisher
In one paragraph

Article in Nature cell biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 181 papers.

0numbers the graph read from it
0cells of the map it votes in
181citing papers in PubMed
17.1field-weighted citation impact, top 1% 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

181 citing papers in PubMed, 331 citations in OpenAlex.

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  16. Review
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  18. Review
  19. Review
  20. Article

121 more citing papers are in PubMed but not listed here.

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 1 country.

Melda TozluoğluBiomolecular Modelling Laboratory, Cancer Research UK London Research Institute, 44 Lincoln's Inn Fields, London WC2A 3LY, UK.
Alexander L Tournier
Robert P Jenkins
Steven Hooper
Paul A Bates
Erik Sahai
The Honourable Society of Lincoln's Inn · GBCancer Research UK · GB

Funding

Cancer Research UK 10748Cancer Research UK 15154
6 · The paper itself

Abstract

The molecular requirements and morphology of migrating cells can vary depending on matrix geometry; therefore, predicting the optimal migration strategy or the effect of experimental perturbation is difficult. We present a model of cell motility that encompasses actin-polymerization-based protrusions, actomyosin contractility, variable actin-plasma membrane linkage leading to membrane blebbing, cell-extracellular-matrix adhesion and varying extracellular matrix geometries. This is used to explore the theoretical requirements for rapid migration in different matrix geometries. Confined matrix geometries cause profound shifts in the relationship of adhesion and contractility to cell velocity; indeed, cell-matrix adhesion is dispensable for migration in discontinuous confined environments. The model is challenged to predict the effect of different combinations of kinase inhibitors and integrin depletion in vivo, and in confined matrices based on in vitro two-dimensional measurements. Intravital imaging is used to verify bleb-driven migration at tumour margins, and the predicted response to single and combinatorial manipulations.

Indexed as

Computer SimulationModels, TheoreticalActinsCell AdhesionCell-Matrix JunctionsCell MembraneCell MovementExtracellular MatrixHumansIntegrinsNeoplasmsProtein Kinase InhibitorsProtein-Tyrosine KinasesActinsIntegrinsProtein Kinase InhibitorsProtein-Tyrosine Kinases

Identifiers

PMID23792690
OpenAlexW1976821656

What OpenQuestion holds

Textmetadata
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.