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Title: Characterizing the DNA damage response by cell tracking algorithms and cell features classification using high-content time-lapse analysis

Abstract

Traditionally, the kinetics of DNA repair have been estimated using immunocytochemistry by labeling proteins involved in the DNA damage response (DDR) with fluorescent markers in a fixed cell assay. However, detailed knowledge of DDR dynamics across multiple cell generations cannot be obtained using a limited number of fixed cell time-points. Here we report on the dynamics of 53BP1 radiation induced foci (RIF) across multiple cell generations using live cell imaging of non-malignant human mammary epithelial cells (MCF10A) expressing histone H2B-GFP and the DNA repair protein 53BP1-mCherry. Using automatic extraction of RIF imaging features and linear programming techniques, we were able to characterize detailed RIF kinetics for 24 hours before and 24 hours after exposure to low and high doses of ionizing radiation. High-content-analysis at the single cell level over hundreds of cells allows us to quantify precisely the dose dependence of 53BP1 protein production, RIF nuclear localization and RIF movement after exposure to X-ray. Using elastic registration techniques based on the nuclear pattern of individual cells, we could describe the motion of individual RIF precisely within the nucleus. We show that DNA repair occurs in a limited number of large domains, within which multiple small RIFs form, merge and/or resolvemore » with random motion following normal diffusion law. Large foci formation is shown to be mainly happening through the merging of smaller RIF rather than through growth of an individual focus. We estimate repair domain sizes of 7.5 to 11 microm2 with a maximum number of ~15 domains per MCF10A cell. This work also highlights DDR which are specific to doses larger than 1 Gy such as rapid 53BP1 protein increase in the nucleus and foci diffusion rates that are significantly faster than for spontaneous foci movement. We hypothesize that RIF merging reflects a "stressed" DNA repair process that has been taken outside physiological conditions when too many DSB occur at once. High doses of ionizing radiation lead to RIF merging into repair domains which in turn increases DSB proximity and misrepair. Such finding may therefore be critical to explain the supralinear dose dependence for chromosomal rearrangement and cell death measured after exposure to ionizing radiation.« less

Authors:
 [1];  [1];  [1];  [2];  [3];  [1];  [1];  [4]
  1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
  2. Harvard Medical School, Boston, MA (United States)
  3. CNRS, Aubiere (France)
  4. Univ. of Hong Kong (Hong Kong)
Publication Date:
Research Org.:
Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1212447
Alternate Identifier(s):
OSTI ID: 1469157
Report Number(s):
LBNL-185582
Journal ID: ISSN 1932-6203
Grant/Contract Number:  
AC02-05CH11231
Resource Type:
Accepted Manuscript
Journal Name:
PLoS ONE
Additional Journal Information:
Journal Volume: 10; Journal Issue: 6; Journal ID: ISSN 1932-6203
Publisher:
Public Library of Science
Country of Publication:
United States
Language:
English
Subject:
59 BASIC BIOLOGICAL SCIENCES; ionizing radiation; cell death; DNA repair; DNA damage; epithelial cells; image processing; linear programming; nuclear bodies

Citation Formats

Georgescu, Walter, Osseiran, Alma, Rojec, Maria, Liu, Yueyong, Bombrun, Maxime, Tang, Jonathan, Costes, Sylvain V., and Huen, Michael Shing-Yan. Characterizing the DNA damage response by cell tracking algorithms and cell features classification using high-content time-lapse analysis. United States: N. p., 2015. Web. doi:10.1371/journal.pone.0129438.
Georgescu, Walter, Osseiran, Alma, Rojec, Maria, Liu, Yueyong, Bombrun, Maxime, Tang, Jonathan, Costes, Sylvain V., & Huen, Michael Shing-Yan. Characterizing the DNA damage response by cell tracking algorithms and cell features classification using high-content time-lapse analysis. United States. https://doi.org/10.1371/journal.pone.0129438
Georgescu, Walter, Osseiran, Alma, Rojec, Maria, Liu, Yueyong, Bombrun, Maxime, Tang, Jonathan, Costes, Sylvain V., and Huen, Michael Shing-Yan. Wed . "Characterizing the DNA damage response by cell tracking algorithms and cell features classification using high-content time-lapse analysis". United States. https://doi.org/10.1371/journal.pone.0129438. https://www.osti.gov/servlets/purl/1212447.
@article{osti_1212447,
title = {Characterizing the DNA damage response by cell tracking algorithms and cell features classification using high-content time-lapse analysis},
author = {Georgescu, Walter and Osseiran, Alma and Rojec, Maria and Liu, Yueyong and Bombrun, Maxime and Tang, Jonathan and Costes, Sylvain V. and Huen, Michael Shing-Yan},
abstractNote = {Traditionally, the kinetics of DNA repair have been estimated using immunocytochemistry by labeling proteins involved in the DNA damage response (DDR) with fluorescent markers in a fixed cell assay. However, detailed knowledge of DDR dynamics across multiple cell generations cannot be obtained using a limited number of fixed cell time-points. Here we report on the dynamics of 53BP1 radiation induced foci (RIF) across multiple cell generations using live cell imaging of non-malignant human mammary epithelial cells (MCF10A) expressing histone H2B-GFP and the DNA repair protein 53BP1-mCherry. Using automatic extraction of RIF imaging features and linear programming techniques, we were able to characterize detailed RIF kinetics for 24 hours before and 24 hours after exposure to low and high doses of ionizing radiation. High-content-analysis at the single cell level over hundreds of cells allows us to quantify precisely the dose dependence of 53BP1 protein production, RIF nuclear localization and RIF movement after exposure to X-ray. Using elastic registration techniques based on the nuclear pattern of individual cells, we could describe the motion of individual RIF precisely within the nucleus. We show that DNA repair occurs in a limited number of large domains, within which multiple small RIFs form, merge and/or resolve with random motion following normal diffusion law. Large foci formation is shown to be mainly happening through the merging of smaller RIF rather than through growth of an individual focus. We estimate repair domain sizes of 7.5 to 11 microm2 with a maximum number of ~15 domains per MCF10A cell. This work also highlights DDR which are specific to doses larger than 1 Gy such as rapid 53BP1 protein increase in the nucleus and foci diffusion rates that are significantly faster than for spontaneous foci movement. We hypothesize that RIF merging reflects a "stressed" DNA repair process that has been taken outside physiological conditions when too many DSB occur at once. High doses of ionizing radiation lead to RIF merging into repair domains which in turn increases DSB proximity and misrepair. Such finding may therefore be critical to explain the supralinear dose dependence for chromosomal rearrangement and cell death measured after exposure to ionizing radiation.},
doi = {10.1371/journal.pone.0129438},
journal = {PLoS ONE},
number = 6,
volume = 10,
place = {United States},
year = {Wed Jun 24 00:00:00 EDT 2015},
month = {Wed Jun 24 00:00:00 EDT 2015}
}

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Figures / Tables:

Figure 1 Figure 1: Experimental Setup. (A) Nonmalignant human mammary cells (MCF10A) were infected with two lentiviruses encoding for 53BP1-mCherry and H2B-GFP. Image on left shows a green nucleus and a large focus in a non-irradiated cell. These large spontaneous foci are commonly observed in MCF10A. A stable line was obtained bymore » sorting cells with FACS. Time-lapse experiments were performed with cells being imaged at least 24 hours before ionizing radiation and 24 hours post-irradiation. (B) Time-lapse frame showing cell nuclei (green channel) and 53BP1 spots in the nucleus 24 hours post-irradiation with a 0.2 Gy dose. (C) Same frame as in B after time-lapse series has been processed. Cell outlines indicate cell generation since beginning of movie acquisition (blue = 1,green = 2, red = 3), numbers indicate cell ID. (D) Cell tracking and mitotic event detection flowchart. (E) Typical ancestry tree generated after image processing. Cell 80 detected in the first frame splits into daughter cells 220 and 1094 which are irradiated. Subsequent daughter cells are also tracked up to the fourth generation cells 779, 1205, 825 and 1067. (F) Image montage showing mitotic events for the cells in the ancestry tree in (E).« less

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Works referencing / citing this record:

Predicting DNA damage foci and their experimental readout with 2D microscopy: a unified approach applied to photon and neutron exposures
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Figures/Tables have been extracted from DOE-funded journal article accepted manuscripts.