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Chatzopoulou, E.I.* ; Raharja-Liu, P. ; Murschhauser, A.* ; Sekhavati, F.* ; Buggenthin, F. ; Vollmar, A.M.* ; Marr, C. ; Rädler, J.O.*

A single-cell micro-trench platform for automatic monitoring of cell division and apoptosis after chemotherapeutic drug administration.

Sci. Rep. 8:18042 (2018)

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Cells vary in their dynamic response to external stimuli, due to stochastic fluctuations and non-uniform progression through the cell cycle. Hence, single-cell studies are required to reveal the range of heterogeneity in their responses to defined perturbations, which provides detailed insight into signaling processes. Here, we present a time-lapse study using arrays of micro-trenches to monitor the timing of cell division and apoptosis in non-adherent cells at the single-cell level. By employing automated cell tracking and division detection, we precisely determine cell cycle duration and sister-cell correlations for hundreds of individual cells in parallel. As a model application we study the response of leukemia cells to the chemostatic drug vincristine as a function of cell cycle phase. The time-to-death after drug addition is found to depend both on drug concentration and cell cycle phase. The resulting timing and dose-response distributions were reproduced in control experiments using synchronized cell populations. Interestingly, in non-synchronized cells, the time-to-death intervals for sister cells appear to be correlated. Our study demonstrates the practical benefits of micro-trench arrays as a platform for high-throughput, single-cell time-lapse studies on cell cycle dependence, correlations and cell fate decisions in general.

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Publication type Article: Journal article

Document type Scientific Article

Corresponding Author

Keywords Lineage Choice; Cancer-cells; Particle Tracking; Leukemia-cells; Cycle; Vincristine; Vinblastine; Array; Heterogeneity; Microtubules

ISSN (print) / ISBN 2045-2322

e-ISSN 2045-2322

Journal Scientific Reports

Quellenangaben Volume: 8, Issue: 1, Article Number: 18042

Publisher Nature Publishing Group

Publishing Place London

Non-patent literature Publications

Reviewing status Peer reviewed

Institute(s) Institute of Computational Biology (ICB)