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Quantifying the rate, degree, and heterogeneity of morphological change during an epithelial to mesenchymal transition using digital holographic cytometry

Kamlund, Sofia LU ; Janicke, Birgit LU ; Alm, Kersti LU ; Judson-Torres, Robert L. and Oredsson, Stina LU (2020) In Applied Sciences (Switzerland) 10(14).
Abstract

Cells in complex organisms can transition between epithelial and mesenchymal phenotypes during both normal and malignant physiological events. These two phenotypes are not binary, but rather describe a spectrum of cell states along an axis. Mammalian cells can undergo dynamic and heterogenous bidirectional interconversions along the epithelial-mesenchymal phenotypic (EMP) spectrum, and such transitions are marked by morphological change. Here, we exploit digital holographic cytometry (DHC) to develop a tractable method for monitoring the degree, kinetics, and heterogeneity of epithelial and mesenchymal phenotypes in adherent mammalian cell populations. First, we demonstrate that the epithelial and mesenchymal states of the same cell... (More)

Cells in complex organisms can transition between epithelial and mesenchymal phenotypes during both normal and malignant physiological events. These two phenotypes are not binary, but rather describe a spectrum of cell states along an axis. Mammalian cells can undergo dynamic and heterogenous bidirectional interconversions along the epithelial-mesenchymal phenotypic (EMP) spectrum, and such transitions are marked by morphological change. Here, we exploit digital holographic cytometry (DHC) to develop a tractable method for monitoring the degree, kinetics, and heterogeneity of epithelial and mesenchymal phenotypes in adherent mammalian cell populations. First, we demonstrate that the epithelial and mesenchymal states of the same cell line present distinct DHC-derived morphological features. Second, we identify quantitative changes in these features that occur hours after induction of the epithelial to mesenchymal transition (EMT). We apply this approach to achieve label-free tracking of the degree and the rate of EMP transitions. We conclude that DHC is an efficient method to investigate morphological changes during transitions between epithelial and mesenchymal states.

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; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
Digital holographic cytometry, Epithelial tomesenchymal transition, Quantitative phase imaging
in
Applied Sciences (Switzerland)
volume
10
issue
14
article number
4726
publisher
MDPI AG
external identifiers
  • scopus:85088575049
ISSN
2076-3417
DOI
10.3390/app10144726
language
English
LU publication?
yes
id
a1add0eb-fbae-4655-ae06-ec74d79f6fec
date added to LUP
2020-08-04 14:23:37
date last changed
2022-04-19 00:02:37
@article{a1add0eb-fbae-4655-ae06-ec74d79f6fec,
  abstract     = {{<p>Cells in complex organisms can transition between epithelial and mesenchymal phenotypes during both normal and malignant physiological events. These two phenotypes are not binary, but rather describe a spectrum of cell states along an axis. Mammalian cells can undergo dynamic and heterogenous bidirectional interconversions along the epithelial-mesenchymal phenotypic (EMP) spectrum, and such transitions are marked by morphological change. Here, we exploit digital holographic cytometry (DHC) to develop a tractable method for monitoring the degree, kinetics, and heterogeneity of epithelial and mesenchymal phenotypes in adherent mammalian cell populations. First, we demonstrate that the epithelial and mesenchymal states of the same cell line present distinct DHC-derived morphological features. Second, we identify quantitative changes in these features that occur hours after induction of the epithelial to mesenchymal transition (EMT). We apply this approach to achieve label-free tracking of the degree and the rate of EMP transitions. We conclude that DHC is an efficient method to investigate morphological changes during transitions between epithelial and mesenchymal states.</p>}},
  author       = {{Kamlund, Sofia and Janicke, Birgit and Alm, Kersti and Judson-Torres, Robert L. and Oredsson, Stina}},
  issn         = {{2076-3417}},
  keywords     = {{Digital holographic cytometry; Epithelial tomesenchymal transition; Quantitative phase imaging}},
  language     = {{eng}},
  number       = {{14}},
  publisher    = {{MDPI AG}},
  series       = {{Applied Sciences (Switzerland)}},
  title        = {{Quantifying the rate, degree, and heterogeneity of morphological change during an epithelial to mesenchymal transition using digital holographic cytometry}},
  url          = {{http://dx.doi.org/10.3390/app10144726}},
  doi          = {{10.3390/app10144726}},
  volume       = {{10}},
  year         = {{2020}},
}