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Label-Free Recognition of Drug Resistance via Impedimetric Screening of Breast Cancer Cells

Overview of attention for article published in PLOS ONE, March 2013
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

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6 patents

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Title
Label-Free Recognition of Drug Resistance via Impedimetric Screening of Breast Cancer Cells
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0057423
Pubmed ID
Authors

Bilge Eker, Robert Meissner, Arnaud Bertsch, Kapil Mehta, Philippe Renaud

Abstract

We present a novel study on label-free recognition and distinction of drug resistant breast cancer cells (MCF-7 DOX) from their parental cells (MCF-7 WT) via impedimetric measurements. Drug resistant cells exhibited significant differences in their dielectric properties compared to wild-type cells, exerting much higher extracellular resistance (Rextra ). Immunostaining revealed that MCF-7 DOX cells gained a much denser F-actin network upon acquiring drug resistance indicating that remodeling of actin cytoskeleton is probably the reason behind higher Rextra , providing stronger cell architecture. Moreover, having exposed both cell types to doxorubicin, we were able to distinguish these two phenotypes based on their substantially different drug response. Interestingly, impedimetric measurements identified a concentration-dependent and reversible increase in cell stiffness in the presence of low non-lethal drug doses. Combined with a profound frequency analysis, these findings enabled distinguishing distinct cellular responses during drug exposure within four concentration ranges without using any labeling. Overall, this study highlights the possibility to differentiate drug resistant phenotypes from their parental cells and to assess their drug response by using microelectrodes, offering direct, real-time and noninvasive measurements of cell dependent parameters under drug exposure, hence providing a promising step for personalized medicine applications such as evaluation of the disease progress and optimization of the drug treatment of a patient during chemotherapy.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 35%
Researcher 11 18%
Student > Master 10 16%
Student > Doctoral Student 3 5%
Student > Bachelor 3 5%
Other 8 13%
Unknown 5 8%
Readers by discipline Count As %
Engineering 19 31%
Agricultural and Biological Sciences 10 16%
Biochemistry, Genetics and Molecular Biology 9 15%
Chemistry 3 5%
Materials Science 3 5%
Other 7 11%
Unknown 11 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 31 January 2023.
All research outputs
#4,629,407
of 23,248,929 outputs
Outputs from PLOS ONE
#65,505
of 198,665 outputs
Outputs of similar age
#38,557
of 195,870 outputs
Outputs of similar age from PLOS ONE
#1,249
of 5,389 outputs
Altmetric has tracked 23,248,929 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 198,665 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 66% of its peers.
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 195,870 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 5,389 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.