Evidence map›Paper›PMID 29211717›Full record

ArticleNature2017

Force loading explains spatial sensing of ligands by cells.

Roger Oria, Tina Wiegand, Jorge Escribano, Alberto Elosegui-Artola, Juan Jose Uriarte, Cristian Moreno-Pulido, Ilia Platzman, Pietro Delcanale, Lorenzo Albertazzi, Daniel Navajas and 4 more

Open access · greenAbstract read
PubMed Publisher
In one paragraph

Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 167 papers.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed
14.7field-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

167 citing papers in PubMed, 337 citations in OpenAlex.

  1. Article
  2. Article
  3. Traction Force Microscopy for Viscoelastic Substrates: A Semi-Analytical Method.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Physiomimetic culture bias durotaxis toward soft environments.bioRxiv : the preprint server for biology · 2026
    Article
  10. An Opto-Actuated Hydrogel for Cell Mechanoactuation and Real-Time Force Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  11. Computational models in directed cell migration.Frontiers in cell and developmental biology · 2026
    Review
  12. Review
  13. Article
  14. Article
  15. MUC15 Ectodomain Architecture Regulates Integrin Clustering to Control Cancer Metastasis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  16. Capped high-force integrin bond lifetimes and spacing-tuned binding frequency drive rapid fibroblast migration.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. RAB5A Promotes Active Fluid Wetting by Reprogramming Breast Cancer Spheroid Mechanics.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  19. Article
  20. Article

107 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

14 authors at 6 institutions in 2 countries.

Roger OriaInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
Tina WiegandMax Planck Institute for Medical Research, D-69120 Heidelberg, Germany.
Jorge EscribanoAragon Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.
Alberto Elosegui-ArtolaInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
Juan Jose UriarteUniversity of Barcelona, 08036 Barcelona, Spain.
Cristian Moreno-PulidoInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
Ilia PlatzmanMax Planck Institute for Medical Research, D-69120 Heidelberg, Germany.
Pietro DelcanaleInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
Lorenzo AlbertazziInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
Daniel NavajasInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
Xavier TrepatInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
José Manuel García-AznarAragon Institute of Engineering Research (I3A), University of Zaragoza, 50018 Zaragoza, Spain.
Elisabetta Ada Cavalcanti-AdamMax Planck Institute for Medical Research, D-69120 Heidelberg, Germany.
Pere Roca-CusachsInstitute for Bioengineering of Catalonia (IBEC), the Barcelona Institute of Technology (BIST), 08028 Barcelona, Spain.
Institute for Bioengineering of Catalonia · ESUniversitat de Barcelona · ESHeidelberg University · DEUniversidad de Zaragoza · ESInstitució Catalana de Recerca i Estudis Avançats · ESMax Planck Institute for Medical Research · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cells can sense the density and distribution of extracellular matrix (ECM) molecules by means of individual integrin proteins and larger, integrin-containing adhesion complexes within the cell membrane. This spatial sensing drives cellular activity in a variety of normal and pathological contexts. Previous studies of cells on rigid glass surfaces have shown that spatial sensing of ECM ligands takes place at the nanometre scale, with integrin clustering and subsequent formation of focal adhesions impaired when single integrin-ligand bonds are separated by more than a few tens of nanometres. It has thus been suggested that a crosslinking 'adaptor' protein of this size might connect integrins to the actin cytoskeleton, acting as a molecular ruler that senses ligand spacing directly. Here, we develop gels whose rigidity and nanometre-scale distribution of ECM ligands can be controlled and altered. We find that increasing the spacing between ligands promotes the growth of focal adhesions on low-rigidity substrates, but leads to adhesion collapse on more-rigid substrates. Furthermore, disordering the ligand distribution drastically increases adhesion growth, but reduces the rigidity threshold for adhesion collapse. The growth and collapse of focal adhesions are mirrored by, respectively, the nuclear or cytosolic localization of the transcriptional regulator protein YAP. We explain these findings not through direct sensing of ligand spacing, but by using an expanded computational molecular-clutch model, in which individual integrin-ECM bonds-the molecular clutches-respond to force loading by recruiting extra integrins, up to a maximum value. This generates more clutches, redistributing the overall force among them, and reducing the force loading per clutch. At high rigidity and high ligand spacing, maximum recruitment is reached, preventing further force redistribution and leading to adhesion collapse. Measurements of cellular traction forces and actin flow speeds support our model. Our results provide a general framework for how cells sense spatial and physical information at the nanoscale, precisely tuning the range of conditions at which they form adhesions and activate transcriptional regulation.

Indexed as

Focal AdhesionsLigandsModels, BiologicalActinsAdaptor Proteins, Signal TransducingAnimalsCell Cycle ProteinsCell MembraneExtracellular MatrixGene Expression RegulationHumansIntegrinsMiceMyosinsNuclear ProteinsPhosphoproteinsActinsAdaptor Proteins, Signal TransducingCell Cycle ProteinsIntegrinsLigandsMyosinsNuclear ProteinsPhosphoproteinsTranscription FactorsYap1 protein, mouseYAP-Signaling ProteinsYY1AP1 protein, human

Identifiers

PMID29211717
OpenAlexW2775236679

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.