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Mechanical properties of normal versus cancerous breast cells

Overview of attention for article published in Biomechanics and Modeling in Mechanobiology, May 2015
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Title
Mechanical properties of normal versus cancerous breast cells
Published in
Biomechanics and Modeling in Mechanobiology, May 2015
DOI 10.1007/s10237-015-0677-x
Pubmed ID
Authors

Amanda M. Smelser, Jed C. Macosko, Adam P. O’Dell, Scott Smyre, Keith Bonin, George Holzwarth

Abstract

A cell's mechanical properties are important in determining its adhesion, migration, and response to the mechanical properties of its microenvironment and may help explain behavioral differences between normal and cancerous cells. Using fluorescently labeled peroxisomes as microrheological probes, the interior mechanical properties of normal breast cells were compared to a metastatic breast cell line, MDA-MB-231. To estimate the mechanical properties of cell cytoplasms from the motions of their peroxisomes, it was necessary to reduce the contribution of active cytoskeletal motions to peroxisome motion. This was done by treating the cells with blebbistatin, to inhibit myosin II, or with sodium azide and 2-deoxy-[Formula: see text]-glucose, to reduce intracellular ATP. Using either treatment, the peroxisomes exhibited normal diffusion or subdiffusion, and their mean squared displacements (MSDs) showed that the MDA-MB-231 cells were significantly softer than normal cells. For these two cell types, peroxisome MSDs in treated and untreated cells converged at high frequencies, indicating that cytoskeletal structure was not altered by the drug treatment. The MSDs from ATP-depleted cells were analyzed by the generalized Stokes-Einstein relation to estimate the interior viscoelastic modulus [Formula: see text] and its components, the elastic shear modulus [Formula: see text] and viscous shear modulus [Formula: see text], at angular frequencies between 0.126 and 628 rad/s. These moduli are the material coefficients that enter into stress-strain relations and relaxation times in quantitative mechanical models such as the poroelastic model of the interior regions of cancerous and non-cancerous cells.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Canada 1 1%
Unknown 74 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 17%
Researcher 13 17%
Student > Master 12 16%
Student > Bachelor 4 5%
Professor 4 5%
Other 10 13%
Unknown 20 26%
Readers by discipline Count As %
Engineering 17 22%
Biochemistry, Genetics and Molecular Biology 13 17%
Physics and Astronomy 7 9%
Agricultural and Biological Sciences 5 7%
Chemical Engineering 4 5%
Other 8 11%
Unknown 22 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 07 July 2016.
All research outputs
#21,186,729
of 23,849,058 outputs
Outputs from Biomechanics and Modeling in Mechanobiology
#422
of 486 outputs
Outputs of similar age
#224,909
of 266,248 outputs
Outputs of similar age from Biomechanics and Modeling in Mechanobiology
#7
of 8 outputs
Altmetric has tracked 23,849,058 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 486 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 266,248 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.