Evidence map›Paper›PMID 27410747›Full record

ArticleBiophysical journal2016

Nanonet Force Microscopy for Measuring Cell Forces.

Kevin Sheets, Ji Wang, Wei Zhao, Rakesh Kapania, Amrinder S Nain

Abstract read
In one paragraph

Article in Biophysical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 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. Quantifying cell traction forces at the single-fiber scale in 3D: An approach based on deformable photopolymerized fiber arrays.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Sculpting Rupture-Free Nuclear Shapes in Fibrous Environments.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    Article
  10. Article
  11. Article
  12. Integrating mechanical sensor readouts into organ-on-a-chip platforms.Frontiers in bioengineering and biotechnology · 2022
    Review
  13. Review
  14. Article
  15. Article
  16. Article
  17. Bioenergetics underlying single-cell migration on aligned nanofiber scaffolds.American journal of physiology. Cell physiology · 2020
    Article
  18. Inositol polyphosphate multikinase is a metformin target that regulates cell migration.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  19. Crosshatch nanofiber networks of tunable interfiber spacing induce plasticity in cell migration and cytoskeletal response.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2019
    Article
  20. 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

5 authors.

Kevin SheetsDepartments of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, Virginia.
Ji WangDepartments of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, Virginia.
Wei ZhaoAerospace and Ocean Engineering, Virginia Tech, Blacksburg, Virginia.
Rakesh KapaniaAerospace and Ocean Engineering, Virginia Tech, Blacksburg, Virginia.
Amrinder S NainDepartments of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, Virginia; Mechanical Engineering, Virginia Tech, Blacksburg, Virginia. Electronic address: nain@vt.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The influence of physical forces exerted by or felt by cells on cell shape, migration, and cytoskeleton arrangement is now widely acknowledged and hypothesized to occur due to modulation of cellular inside-out forces in response to changes in the external fibrous environment (outside-in). Our previous work using the non-electrospinning Spinneret-based Tunable Engineered Parameters' suspended fibers has revealed that cells are able to sense and respond to changes in fiber curvature and structural stiffness as evidenced by alterations to focal adhesion cluster lengths. Here, we present the development and application of a suspended nanonet platform for measuring C2C12 mouse myoblast forces attached to fibers of three diameters (250, 400, and 800 nm) representing a wide range of structural stiffness (3-50 nN/μm). The nanonet force microscopy platform measures cell adhesion forces in response to symmetric and asymmetric external perturbation in single and cyclic modes. We find that contractility-based, inside-out forces are evenly distributed at the edges of the cell, and that forces are dependent on fiber structural stiffness. Additionally, external perturbation in symmetric and asymmetric modes biases cell-fiber failure location without affecting the outside-in forces of cell-fiber adhesion. We then extend the platform to measure forces of (1) cell-cell junctions, (2) single cells undergoing cyclic perturbation in the presence of drugs, and (3) cancerous single-cells transitioning from a blebbing to a pseudopodial morphology.

Indexed as

Mechanical PhenomenaMicroscopy, Atomic ForceNanotechnologyAnimalsBiomechanical PhenomenaCell AdhesionCell Line, TumorCytoskeletonIntercellular JunctionsMiceMyoblastsNanofibers

Identifiers

PMID27410747
PMCPMC4945583

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.