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@article{1674501,
author = {Vičar, Tomáš and Raudenská, Martina and Gumulec, Jaromír and Balvan, Jan},
article_location = {London},
article_number = {1},
doi = {http://dx.doi.org/10.1038/s41598-020-58474-w},
keywords = {Apoptosis; Lytic Cell Death},
language = {eng},
issn = {2045-2322},
journal = {Scientific reports},
title = {The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death},
url = {https://www.nature.com/articles/s41598-020-58474-w},
volume = {10},
year = {2020}
}
TY - JOUR
ID - 1674501
AU - Vičar, Tomáš - Raudenská, Martina - Gumulec, Jaromír - Balvan, Jan
PY - 2020
TI - The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death
JF - Scientific reports
VL - 10
IS - 1
SP - 1-12
EP - 1-12
PB - Nature Publishing Group
SN - 20452322
KW - Apoptosis
KW - Lytic Cell Death
UR - https://www.nature.com/articles/s41598-020-58474-w
L2 - https://www.nature.com/articles/s41598-020-58474-w
N2 - Article Open Access Published: 31 January 2020 The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death Tomas Vicar, Martina Raudenska, Jaromir Gumulec & Jan Balvan Scientific Reports volume 10, Article number: 1566 (2020) Cite this article 1380 Accesses 2 Citations 2 Altmetric Metricsdetails Abstract Cell viability and cytotoxicity assays are highly important for drug screening and cytotoxicity tests of antineoplastic or other therapeutic drugs. Even though biochemical-based tests are very helpful to obtain preliminary preview, their results should be confirmed by methods based on direct cell death assessment. In this study, time-dependent changes in quantitative phase-based parameters during cell death were determined and methodology useable for rapid and label-free assessment of direct cell death was introduced. The goal of our study was distinction between apoptosis and primary lytic cell death based on morphologic features. We have distinguished the lytic and non-lytic type of cell death according to their end-point features (Dance of Death typical for apoptosis versus swelling and membrane rupture typical for all kinds of necrosis common for necroptosis, pyroptosis, ferroptosis and accidental cell death). Our method utilizes Quantitative Phase Imaging (QPI) which enables the time-lapse observation of subtle changes in cell mass distribution. According to our results, morphological and dynamical features extracted from QPI micrographs are suitable for cell death detection (76% accuracy in comparison with manual annotation). Furthermore, based on QPI data alone and machine learning, we were able to classify typical dynamical changes of cell morphology during both caspase 3,7-dependent and -independent cell death subroutines. The main parameters used for label-free detection of these cell death modalities were cell density (pg/pixel) and average intensity change of cell pixels further designated as Cell Dynamic Score (CDS). To the best of our knowledge, this is the first study introducing CDS and cell density as a parameter typical for individual cell death subroutines with prediction accuracy 75.4% for caspase 3,7-dependent and -independent cell death.
ER -
VIČAR, Tomáš, Martina RAUDENSKÁ, Jaromír GUMULEC a Jan BALVAN. The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death. \textit{Scientific reports}. London: Nature Publishing Group, roč.~10, č.~1, s.~1-12. ISSN~2045-2322. doi:10.1038/s41598-020-58474-w. 2020.
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