The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43210%2F20%3A43917941" target="_blank" >RIV/62156489:43210/20:43917941 - isvavai.cz</a>

Alternative codes found

RIV/00216224:14110/20:00114270 RIV/00216305:26220/20:PU135564

Result on the web

<a href="https://doi.org/10.1038/s41598-020-58474-w" target="_blank" >https://doi.org/10.1038/s41598-020-58474-w</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s41598-020-58474-w" target="_blank" >10.1038/s41598-020-58474-w</a>

Result language

angličtina

Original language name

The Quantitative-Phase Dynamics of Apoptosis and Lytic Cell Death

Original language description

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.

Czech name

—

Czech description

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Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10608 - Biochemistry and molecular biology

Project

<a href="/en/project/GA18-24089S" target="_blank" >GA18-24089S: Quantitative phase microscopy for 3D qualitative characterization of cancer cells</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2020

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Scientific Reports

ISSN

2045-2322

e-ISSN

—

Volume of the periodical

10

Issue of the periodical within the volume

31 January

Country of publishing house

GB - UNITED KINGDOM

Number of pages

12

Pages from-to

1566

UT code for WoS article

000562877200002

EID of the result in the Scopus database

2-s2.0-85078841541