Evidence map›Paper›PMID 30217380›Full record

ArticleBiophysical journal2018

Nonlinear Elasticity of the ECM Fibers Facilitates Efficient Intercellular Communication.

Ran S Sopher, Hanan Tokash, Sari Natan, Mirit Sharabi, Ortal Shelah, Oren Tchaicheeyan, Ayelet Lesman

Open access · bronzeAbstract read
In one paragraph

Article in Biophysical journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

39 citing papers in PubMed, 93 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
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  5. Fiber recruitment drives a phase transition of cell polarization at a critical cell spacing in matrix-mediated tissue remodeling.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Many-body interactions between contracting living cells.The European physical journal. E, Soft matter · 2024
    Article
  11. Review
  12. Article
  13. Nanocolloidal hydrogel mimics the structure and nonlinear mechanical properties of biological fibrous networks.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. A cell-based framework for modeling cardiac mechanics.Biomechanics and modeling in mechanobiology · 2023
    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

7 authors at 1 institution in 1 country.

Ran S SopherSchool of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Hanan TokashSchool of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Sari NatanSchool of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Mirit SharabiSchool of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Ortal ShelahSchool of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Oren TchaicheeyanSchool of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel.
Ayelet LesmanSchool of Mechanical Engineering, Faculty of Engineering, Tel Aviv University, Tel Aviv, Israel. Electronic address: ayeletlesman@tauex.tau.ac.il.
Tel Aviv University · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological cells embedded in fibrous matrices have been observed to form intercellular bands of dense and aligned fibers through which they mechanically interact over long distances. Such matrix-mediated cellular interactions have been shown to regulate various biological processes. This study aimed to explore the effects of elastic nonlinearity of the fibers contained in the extracellular matrix (ECM) on the transmission of mechanical loads between contracting cells. Based on our biological experiments, we developed a finite-element model of two contracting cells embedded within a fibrous network. The individual fibers were modeled as showing linear elasticity, compression microbuckling, tension stiffening, or both of the latter two. Fiber compression buckling resulted in smaller loads in the ECM, which were primarily directed toward the neighboring cell. These loads decreased with increasing cell-to-cell distance; when cells were >9 cell diameters apart, no such intercellular interaction was observed. Tension stiffening further contributed to directing the loads toward the neighboring cell, though to a smaller extent. The contraction of two neighboring cells resulted in mutual attraction forces, which were considerably increased by tension stiffening and decayed with increasing cell-to-cell distances. Nonlinear elasticity contributed also to the onset of force polarity on the cell boundaries, manifested by larger contractile forces pointing toward the neighboring cell. The density and alignment of the fibers within the intercellular band were greater when fibers buckled under compression, with tension stiffening further contributing to this structural remodeling. Although previous studies have established the role of the ECM nonlinear mechanical behavior in increasing the range of force transmission, our model demonstrates the contribution of nonlinear elasticity of biological gels to directional and efficient mechanical signal transfer between distant cells, and rehighlights the importance of using fibrous gels in experimental settings for facilitating intercellular communication. VIDEO ABSTRACT.

Indexed as

Cell CommunicationElasticityNonlinear DynamicsAnimalsBiomechanical PhenomenaExtracellular MatrixMiceModels, BiologicalNIH 3T3 Cells

Identifiers

PMID30217380
PMCPMC6170818
OpenAlexW2786789072

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.