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Cellular traction forces : a useful parameter in cancer research

Li, Zhen LU ; Persson, Henrik LU ; Adolfsson, Karl LU ; Abariute, Laura LU ; Borgström, Magnus T LU ; Hessman, Dan LU ; Åström, Kalle LU ; Oredsson, Stina LU and Prinz, Christelle N LU (2017) In Nanoscale 9(48). p.19039-19044
Abstract

The search for new cancer biomarkers is essential for fundamental research, diagnostics, as well as for patient treatment and monitoring. Whereas most cancer biomarkers are biomolecules, an increasing number of studies show that mechanical cues are promising biomarker candidates. Although cell deformability has been shown to be a possible cancer biomarker, cellular forces as cancer biomarkers have been left largely unexplored. Here, we measure traction forces of cancer and normal-like cells at high spatial resolution using a robust method based on dense vertical arrays of nanowires. A force map is created using automated image analysis based on the localization of the fluorescent tips of the nanowires. We show that the force... (More)

The search for new cancer biomarkers is essential for fundamental research, diagnostics, as well as for patient treatment and monitoring. Whereas most cancer biomarkers are biomolecules, an increasing number of studies show that mechanical cues are promising biomarker candidates. Although cell deformability has been shown to be a possible cancer biomarker, cellular forces as cancer biomarkers have been left largely unexplored. Here, we measure traction forces of cancer and normal-like cells at high spatial resolution using a robust method based on dense vertical arrays of nanowires. A force map is created using automated image analysis based on the localization of the fluorescent tips of the nanowires. We show that the force distribution and magnitude differ between MCF7 breast cancer cells and MCF10A normal-like breast epithelial cells, and that monitoring traction forces can be used to investigate the effects of anticancer drugs.

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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Journal Article
in
Nanoscale
volume
9
issue
48
pages
6 pages
publisher
Royal Society of Chemistry
external identifiers
  • scopus:85027972721
  • scopus:85038413765
  • wos:000418098000005
ISSN
2040-3372
DOI
10.1039/c7nr06284b
language
English
LU publication?
yes
id
a0a832ea-7754-480b-b3da-7f2501eb1093
date added to LUP
2017-12-17 11:08:31
date last changed
2018-11-11 22:40:39
@article{a0a832ea-7754-480b-b3da-7f2501eb1093,
  abstract     = {<p>The search for new cancer biomarkers is essential for fundamental research, diagnostics, as well as for patient treatment and monitoring. Whereas most cancer biomarkers are biomolecules, an increasing number of studies show that mechanical cues are promising biomarker candidates. Although cell deformability has been shown to be a possible cancer biomarker, cellular forces as cancer biomarkers have been left largely unexplored. Here, we measure traction forces of cancer and normal-like cells at high spatial resolution using a robust method based on dense vertical arrays of nanowires. A force map is created using automated image analysis based on the localization of the fluorescent tips of the nanowires. We show that the force distribution and magnitude differ between MCF7 breast cancer cells and MCF10A normal-like breast epithelial cells, and that monitoring traction forces can be used to investigate the effects of anticancer drugs.</p>},
  author       = {Li, Zhen and Persson, Henrik and Adolfsson, Karl and Abariute, Laura and Borgström, Magnus T and Hessman, Dan and Åström, Kalle and Oredsson, Stina and Prinz, Christelle N},
  issn         = {2040-3372},
  keyword      = {Journal Article},
  language     = {eng},
  month        = {12},
  number       = {48},
  pages        = {19039--19044},
  publisher    = {Royal Society of Chemistry},
  series       = {Nanoscale},
  title        = {Cellular traction forces : a useful parameter in cancer research},
  url          = {http://dx.doi.org/10.1039/c7nr06284b},
  volume       = {9},
  year         = {2017},
}