Literature DB >> 18770815

Time-lapse microscopy approaches to track cell cycle progression at the single-cell level.

Rachel J Errington1, Nuria Marquez, Sally C Chappell, Marie Wiltshire, Paul J Smith.   

Abstract

Time-lapse microscopy can be described as the repeated collection of a field of view from a microscope at discrete time intervals. The duration of the time interval defines the temporal resolution, which in turn characterizes the type of event detected. This unit describes the implementation of time-lapse microscopy to link initial cell cycle position during acute exposures to anti-cancer agents with anti-proliferative consequences for individual cells. The approach incorporates fundamental concepts arising from the ability to capture simple video sequences of cells from which it is possible to extract kinetic descriptors that reflect the interplay of mitosis and cell death in the growth of an unsynchronized tumor population. Utilizing a multi-well format enables the user to test different drug derivatives, multiple dose ranges, or cell cultures with unique genetic backgrounds. The objective of this unit is to present a generic methodology for capturing time-lapse sequences and subsequently mining the data for comprehensive event analysis.

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Mesh:

Year:  2005        PMID: 18770815     DOI: 10.1002/0471142956.cy1204s31

Source DB:  PubMed          Journal:  Curr Protoc Cytom        ISSN: 1934-9297


  2 in total

1.  Enhanced connexin 43 expression delays intra-mitotic duration and cell cycle traverse independently of gap junction channel function.

Authors:  Scott R Johnstone; Angela K Best; Catherine S Wright; Brant E Isakson; Rachel J Errington; Patricia E Martin
Journal:  J Cell Biochem       Date:  2010-06-01       Impact factor: 4.429

2.  Single-cell lineage tracking analysis reveals that an established cell line comprises putative cancer stem cells and their heterogeneous progeny.

Authors:  Sachiko Sato; Ann Rancourt; Yukiko Sato; Masahiko S Satoh
Journal:  Sci Rep       Date:  2016-03-22       Impact factor: 4.379

  2 in total

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