Quantifying the rate, degree, and heterogeneity of morphological change during an epithelial to mesenchymal transition using digital holographic cytometry
(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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- author
- Kamlund, Sofia LU ; Janicke, Birgit LU ; Alm, Kersti LU ; Judson-Torres, Robert L. and Oredsson, Stina LU
- organization
- publishing date
- 2020
- 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
- 2024-07-01 11:25:22
@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}}, }