Evidence map›Paper›PMID 24999625›Full record

ArticlePloS one2014

Spectroscopic investigation of local mechanical impedance of living cells.

Luca Costa, Mario S Rodrigues, Núria Benseny-Cases, Véronique Mayeux, Joël Chevrier, Fabio Comin

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
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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.

Luca CostaEuropean Synchrotron Radiation Facility, Grenoble, France; Université Joseph Fourier, Grenoble, France.
Mario S RodriguesCentro de Física da Matéria Condensada/Dep. Fisica, Faculdade de Ciência, Universidade de Lisboa, Lisboa, Portugal.
Núria Benseny-CasesAstbury Centre for Structural Molecular Biology, Leeds University, Leeds, United Kingdom.
Véronique MayeuxAstbury Centre for Structural Molecular Biology, Leeds University, Leeds, United Kingdom.
Joël ChevrierCentre National de la Recherche Scientifique, Institut NÉEL, Grenoble, France; Université Grenoble Alpes, Institut NÉEL, Grenoble, France.
Fabio CominEuropean Synchrotron Radiation Facility, Grenoble, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We studied nanoscale mechanical properties of PC12 living cells with a Force Feedback Microscope using two experimental approaches. The first one consists in measuring the local mechanical impedance of the cell membrane while simultaneously mapping the cell morphology at constant force. As the interaction force is increased, we observe the appearance of the sub-membrane cytoskeleton. We compare our findings with the outcome of other techniques. The second experimental approach consists in a spectroscopic investigation of the cell while varying the tip indentation into the membrane and consequently the applied force. At variance with conventional dynamic Atomic Force Microscopy techniques, here it is not mandatory to work at the first oscillation eigenmode of the cantilever: the excitation frequency of the tip can be chosen arbitrary leading then to new spectroscopic AFM techniques. We found in this way that the mechanical response of the PC12 cell membrane is found to be frequency dependent in the 1 kHz - 10 kHz range. In particular, we observe that the damping coefficient consistently decreases when the excitation frequency is increased.

Indexed as

Mechanical PhenomenaSpectrum AnalysisAnimalsBiomechanical PhenomenaCell MembraneCell SurvivalFeedback, PhysiologicalMicroscopy, Atomic ForceOptical FibersPC12 CellsRats

Identifiers

PMID24999625
PMCPMC4084948

What OpenQuestion holds

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LicenceCC BY
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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.