Evidence map›Paper›PMID 24651316›Full record

ReviewSoft matter2014

Physics of cell adhesion: some lessons from cell-mimetic systems.

Erich Sackmann, Ana-Sunčana Smith

Open access · hybridAbstract readReview
In one paragraph

Review in Soft matter, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
6.2field-weighted citation impact, top 3% 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

42 citing papers in PubMed, 138 citations in OpenAlex.

  1. Article
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  9. Review
  10. Osteoblastic cell response to AlBioImpacts : BI · 2022
    Article
  11. Review
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  16. Review
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  18. Mechanoregulation of PDZ Proteins, An Emerging Function.Methods in molecular biology (Clifton, N.J.) · 2021
    Review
  19. Article
  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

2 authors at 2 institutions in 2 countries.

Erich SackmannPhysics Department Technical University Munich, Germany. sackmann@ph.tum.de.
Ana-Sunčana Smith
Rudjer Boskovic Institute · HRTechnical University of Munich · DE

Funding

European Research Council 337283
6 · The paper itself

Abstract

Cell adhesion is a paradigm of the ubiquitous interplay of cell signalling, modulation of material properties and biological functions of cells. It is controlled by competition of short range attractive forces, medium range repellant forces and the elastic stresses associated with local and global deformation of the composite cell envelopes. We review the basic physical rules governing the physics of cell adhesion learned by studying cell-mimetic systems and demonstrate the importance of these rules in the context of cellular systems. We review how adhesion induced micro-domains couple to the intracellular actin and microtubule networks allowing cells to generate strong forces with a minimum of attractive cell adhesion molecules (CAMs) and to manipulate other cells through filopodia over micrometer distances. The adhesion strength can be adapted to external force fluctuations within seconds by varying the density of attractive and repellant CAMs through exocytosis and endocytosis or protease-mediated dismantling of the CAM-cytoskeleton link. Adhesion domains form local end global biochemical reaction centres enabling the control of enzymes. Actin-microtubule crosstalk at adhesion foci facilitates the mechanical stabilization of polarized cell shapes. Axon growth in tissue is guided by attractive and repulsive clues controlled by antagonistic signalling pathways.

Indexed as

Cell AdhesionActinsCell Adhesion MoleculesCell MembraneCytoskeletonEndocytosisHumansMechanical PhenomenaMicrotubulesSignal TransductionActinsCell Adhesion Molecules

Identifiers

PMID24651316
PMCPMC4028615
OpenAlexW1979637500

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.