Evidence map›Paper›PMID 31513975›Full record

ArticleiScience2019

Cancer Cells Sense Fibers by Coiling on them in a Curvature-Dependent Manner.

Apratim Mukherjee, Bahareh Behkam, Amrinder S Nain

Abstract read
In one paragraph

Article in iScience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. 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
  3. Article
  4. Article
  5. Article
  6. Article
  7. Sculpting Rupture-Free Nuclear Shapes in Fibrous Environments.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  8. Article
  9. Article
  10. Impact of neurite alignment on organelle motion.Journal of the Royal Society, Interface · 2022
    Article
  11. Review
  12. Article
  13. Bioenergetics underlying single-cell migration on aligned nanofiber scaffolds.American journal of physiology. Cell physiology · 2020
    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

3 authors.

Apratim MukherjeeDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Bahareh BehkamDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA.
Amrinder S NainDepartment of Mechanical Engineering, Virginia Tech, Blacksburg, VA 24061, USA. Electronic address: nain@vt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metastatic cancer cells sense the complex and heterogeneous fibrous extracellular matrix (ECM) by formation of protrusions, and our knowledge of how cells physically recognize these fibers remains in its infancy. Here, using suspended ECM-mimicking isodiameter fibers ranging from 135 to 1,000 nm, we show that metastatic breast cancer cells sense fiber diameters differentially by coiling (wrapping-around) on them in a curvature-dependent manner, whereas non-tumorigenic cells exhibit diminished coiling. We report that coiling occurs at the tip of growing protrusions and the coil width and coiling rate increase in a curvature-dependent manner, but time to maximum coil width occurs biphasically. Interestingly, bundles of 135-nm diameter fibers recover coiling width and rate on 1,000-nm-diameter fibers. Coiling also coincides with curvature-dependent persistent and ballistic transport of endogenous granules inside the protrusions. Altogether, our results lay the groundwork to link biophysical sensing with biological signaling to quantitate pro- and anti-invasive fibrous environments. VIDEO ABSTRACT.

Indexed as

BiomechanicsBiophysicsCancerCell Biology

Identifiers

PMID31513975
PMCPMC6742781

What OpenQuestion holds

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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.