Evidence map›Paper›PMID 31421835›Full record

ArticleBiophysical journal2019

Quantifying the Local Mechanical Properties of Cells in a Fibrous Three-Dimensional Microenvironment.

Amy Dagro, Labchan Rajbhandari, Santiago Orrego, Sung Hoon Kang, Arun Venkatesan, Kaliat T Ramesh

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Biophysical journal, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Optical Tweezers Exploring Neuroscience.Frontiers in bioengineering and biotechnology · 2020
    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.

Amy DagroU.S. Army Research Laboratory, Aberdeen Proving Ground, Maryland. Electronic address: adagro1@jhu.edu.
Labchan RajbhandariDepartment of Neurology, Johns Hopkins University, Baltimore, Maryland.
Santiago OrregoDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland.
Sung Hoon KangDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland; Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, Maryland.
Arun VenkatesanDepartment of Neurology, Johns Hopkins University, Baltimore, Maryland.
Kaliat T RameshDepartment of Mechanical Engineering, Johns Hopkins University, Baltimore, Maryland; Hopkins Extreme Materials Institute, Johns Hopkins University, Baltimore, Maryland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Measurements of the mechanical response of biological cells are critical for understanding injury and disease, for developing diagnostic tools, and for computational models in mechanobiology. Although it is well known that cells are sensitive to the topography of their microenvironment, the current paradigm in mechanical testing of adherent cells is mostly limited to specimens grown on flat two-dimensional substrates. In this study, we introduce a technique in which cellular indentation via optical trapping is performed on cells at a high spatial resolution to obtain their regional mechanical properties while they exist in a more favorable three-dimensional microenvironment. We combine our approach with nonlinear contact mechanics theory to consider the effects of a large deformation. This allows us to probe length scales that are relevant for obtaining overall cell stiffness values. The experimental results herein provide the hyperelastic material properties at both high (∼100 s

Indexed as

Cellular MicroenvironmentAnimalsBiomechanical PhenomenaCells, CulturedMiceOptical TweezersStress, MechanicalTissue Scaffolds

Identifiers

PMID31421835
PMCPMC6731457

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.