Evidence map›Paper›PMID 26331248›Full record

ArticleBiophysical journal2015

Migration in Confined 3D Environments Is Determined by a Combination of Adhesiveness, Nuclear Volume, Contractility, and Cell Stiffness.

Lena A Lautscham, Christoph Kämmerer, Janina R Lange, Thorsten Kolb, Christoph Mark, Achim Schilling, Pamela L Strissel, Reiner Strick, Caroline Gluth, Amy C Rowat and 2 more

Abstract read
In one paragraph

Article in Biophysical journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 99 papers.

0numbers the graph read from it
0cells of the map it votes in
99citing papers in PubMed
–field-weighted citation impact
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

99 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Measurement of cellular traction forces during confined migration.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Deep learning reveals how cells pull, buckle, and navigate fibrous environments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  9. Mechanical signatures in cancer metastasis.npj biological physics and mechanics · 2025
    Review
  10. Review
  11. Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

39 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

12 authors.

Lena A LautschamBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany. Electronic address: llautscham@biomed.uni-erlangen.de.
Christoph KämmererBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.
Janina R LangeBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.
Thorsten KolbBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.
Christoph MarkBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.
Achim SchillingBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.
Pamela L StrisselLaboratory for Molecular Medicine, Department of Gynecology and Obstetrics, University-Clinic Erlangen, Erlangen, Germany.
Reiner StrickLaboratory for Molecular Medicine, Department of Gynecology and Obstetrics, University-Clinic Erlangen, Erlangen, Germany.
Caroline GluthBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.
Amy C RowatDepartment of Integrative Biology and Physiology, UCLA, Los Angeles, California.
Claus MetznerBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.
Ben FabryBiophysics Group, Department of Physics, University of Erlangen-Nuremberg, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In cancer metastasis and other physiological processes, cells migrate through the three-dimensional (3D) extracellular matrix of connective tissue and must overcome the steric hindrance posed by pores that are smaller than the cells. It is currently assumed that low cell stiffness promotes cell migration through confined spaces, but other factors such as adhesion and traction forces may be equally important. To study 3D migration under confinement in a stiff (1.77 MPa) environment, we use soft lithography to fabricate polydimethylsiloxane (PDMS) devices consisting of linear channel segments with 20 μm length, 3.7 μm height, and a decreasing width from 11.2 to 1.7 μm. To study 3D migration in a soft (550 Pa) environment, we use self-assembled collagen networks with an average pore size of 3 μm. We then measure the ability of four different cancer cell lines to migrate through these 3D matrices, and correlate the results with cell physical properties including contractility, adhesiveness, cell stiffness, and nuclear volume. Furthermore, we alter cell adhesion by coating the channel walls with different amounts of adhesion proteins, and we increase cell stiffness by overexpression of the nuclear envelope protein lamin A. Although all cell lines are able to migrate through the smallest 1.7 μm channels, we find significant differences in the migration velocity. Cell migration is impeded in cell lines with larger nuclei, lower adhesiveness, and to a lesser degree also in cells with lower contractility and higher stiffness. Our data show that the ability to overcome the steric hindrance of the matrix cannot be attributed to a single cell property but instead arises from a combination of adhesiveness, nuclear volume, contractility, and cell stiffness.

Indexed as

Cell MovementCell Nucleus SizeMechanical PhenomenaBiomechanical PhenomenaCell AdhesionCell Line, TumorCollagenHumansPorosityCollagen

Identifiers

PMID26331248
PMCPMC4564685

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.