Evidence map›Paper›PMID 35310950›Full record

ArticleiScience2022

An explicit model to extract viscoelastic properties of cells from AFM force-indentation curves.

Shada Abuhattum, Dominic Mokbel, Paul Müller, Despina Soteriou, Jochen Guck, Sebastian Aland

Abstract read
In one paragraph

Article in iScience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Mechanical Characterization of Murine Oocytes by Atomic Force Microscopy.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Review
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

6 authors.

Shada AbuhattumMax Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.
Dominic MokbelFakultät Mathematik und Informatik, Technische Universität Freiberg, 09599 Freiberg, Germany.
Paul MüllerMax Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.
Despina SoteriouMax Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.
Jochen GuckMax Planck Institute for the Science of Light and Max-Planck-Zentrum für Physik und Medizin, Staudstr. 2, 91058 Erlangen, Germany.
Sebastian AlandFakultät Mathematik und Informatik, Technische Universität Freiberg, 09599 Freiberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Atomic force microscopy (AFM) is widely used for quantifying the mechanical properties of soft materials such as cells. AFM force-indentation curves are conventionally fitted with a Hertzian model to extract elastic properties. These properties solely are, however, insufficient to describe the mechanical properties of cells. Here, we expand the analysis capabilities to describe the viscoelastic behavior while using the same force-indentation curves. Our model gives an explicit relation of force and indentation and extracts physically meaningful mechanical parameters. We first validated the model on simulated force-indentation curves. Then, we applied the fitting model to the force-indentation curves of two hydrogels with different crosslinking mechanisms. Finally, we characterized HeLa cells in two cell cycle phases, interphase and mitosis, and showed that mitotic cells have a higher apparent elasticity and a lower apparent viscosity. Our study provides a simple method, which can be directly integrated into the standard AFM framework for extracting the viscoelastic properties of materials.

Indexed as

BiomechanicsBiophysicsMaterials science

Identifiers

PMID35310950
PMCPMC8931349

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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.