Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin

This work shows examples of lifetime distributions for individual BC3H1 cells after start of exposure to the marine toxin yessotoxin (YTX) in an experimental dish. The present tracking of many single cells from time-lapse microscopy datademonstrates the complexity in individual cell fate and which c...

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Main Authors: Monica Suarez Korsnes, Reinert eKorsnes
Format: Article
Language:English
Published: Frontiers Media S.A. 2015-10-01
Series:Frontiers in Bioengineering and Biotechnology
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00166/full
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spelling doaj-464d596205ef42c89db31746baa7c7162020-11-25T01:17:53ZengFrontiers Media S.A.Frontiers in Bioengineering and Biotechnology2296-41852015-10-01310.3389/fbioe.2015.00166165224Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxinMonica Suarez Korsnes0Reinert eKorsnes1Reinert eKorsnes2Norwegian University of Life SciencesNorwegian Institute of Bioeconomy Research (NIBIO)Norwegian Defense Research Establishment (FFI)This work shows examples of lifetime distributions for individual BC3H1 cells after start of exposure to the marine toxin yessotoxin (YTX) in an experimental dish. The present tracking of many single cells from time-lapse microscopy datademonstrates the complexity in individual cell fate and which can be masked in aggregate properties. This contribution also demonstrates the general practicality of cell tracking. It can serve as a conceptually simple and non-intrusive method for high throughput early analysis of cytotoxic effects to assess early and late time points relevant for further analyzes or to assess for variability and sub-populations of interest. The present examples of lifetime distributions seem partly to reflect different cell death modalities. Differences between cell lifetime distributions derived from populations in different experimental dishes, can potentially provide measures of inter-cellular influence. Such outcomes may help to understand tumor-cell resistance to drug therapy and to predict the probability of metastasis.http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00166/fullCell DeathCell TrackingYessotoxinlifetime statisticsintercellular influence
collection DOAJ
language English
format Article
sources DOAJ
author Monica Suarez Korsnes
Reinert eKorsnes
Reinert eKorsnes
spellingShingle Monica Suarez Korsnes
Reinert eKorsnes
Reinert eKorsnes
Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin
Frontiers in Bioengineering and Biotechnology
Cell Death
Cell Tracking
Yessotoxin
lifetime statistics
intercellular influence
author_facet Monica Suarez Korsnes
Reinert eKorsnes
Reinert eKorsnes
author_sort Monica Suarez Korsnes
title Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin
title_short Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin
title_full Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin
title_fullStr Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin
title_full_unstemmed Lifetime distributions from tracking individual BC3H1 cells subjected to yessotoxin
title_sort lifetime distributions from tracking individual bc3h1 cells subjected to yessotoxin
publisher Frontiers Media S.A.
series Frontiers in Bioengineering and Biotechnology
issn 2296-4185
publishDate 2015-10-01
description This work shows examples of lifetime distributions for individual BC3H1 cells after start of exposure to the marine toxin yessotoxin (YTX) in an experimental dish. The present tracking of many single cells from time-lapse microscopy datademonstrates the complexity in individual cell fate and which can be masked in aggregate properties. This contribution also demonstrates the general practicality of cell tracking. It can serve as a conceptually simple and non-intrusive method for high throughput early analysis of cytotoxic effects to assess early and late time points relevant for further analyzes or to assess for variability and sub-populations of interest. The present examples of lifetime distributions seem partly to reflect different cell death modalities. Differences between cell lifetime distributions derived from populations in different experimental dishes, can potentially provide measures of inter-cellular influence. Such outcomes may help to understand tumor-cell resistance to drug therapy and to predict the probability of metastasis.
topic Cell Death
Cell Tracking
Yessotoxin
lifetime statistics
intercellular influence
url http://journal.frontiersin.org/Journal/10.3389/fbioe.2015.00166/full
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