Evidence map›Paper›PMID 28362397›Full record

ArticleJournal of visualized experiments : JoVE2017

Analyzing Cell Surface Adhesion Remodeling in Response to Mechanical Tension Using Magnetic Beads.

Angélique Millon-Frémillon, Julien Aureille, Christophe Guilluy

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

0 citing papers in PubMed, 3 citations in OpenAlex.

No citing paper in PubMed yet.

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

3 authors at 2 institutions in 1 country.

Angélique Millon-FrémillonInstitute for Advanced Biosciences, Centre de recherche UGA - INSERM U1209 - CNRS UMR; angelique.stuani@inserm.fr.
Julien AureilleInstitute for Advanced Biosciences, Centre de recherche UGA - INSERM U1209 - CNRS UMR.
Christophe GuilluyInstitute for Advanced Biosciences, Centre de recherche UGA - INSERM U1209 - CNRS UMR; christophe.guilluy@inserm.fr.
Institut de Biosciences et Biotechnologies · FRInserm · FR

Funding

European Research Council 639300
6 · The paper itself

Abstract

Mechanosensitive cell surface adhesion complexes allow cells to sense the mechanical properties of their surroundings. Recent studies have identified both force-sensing molecules at adhesion sites, and force-dependent transcription factors that regulate lineage-specific gene expression and drive phenotypic outputs. However, the signaling networks converting mechanical tension into biochemical pathways have remained elusive. To explore the signaling pathways engaged upon mechanical tension applied to cell surface receptor, superparamagnetic microbeads can be used. Here we present a protocol for using magnetic beads to apply forces to cell surface adhesion proteins. Using this approach, it is possible to investigate not only force-dependent cytoplasmic signaling pathways by various biochemical approaches, but also adhesion remodeling by magnetic isolation of adhesion complexes attached to the ligand-coated beads. This protocol includes the preparation of ligand-coated superparamagnetic beads, and the application of define tensile forces followed by biochemical analyses. Additionally, we provide a representative sample of data demonstrating that tension applied to integrin-based adhesion triggers adhesion remodeling and alters protein tyrosine phosphorylation.

Indexed as

MagnetsStress, MechanicalCell AdhesionCell MembranePhosphorylationReceptors, Cell SurfaceSignal TransductionReceptors, Cell Surface

Identifiers

PMID28362397
PMCPMC5408950
OpenAlexW2593456513

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.