title: Time-lapse microscopy approaches to track cell cycle and lineage progression at the single-cell level.
abstract: Time-lapse microscopy can be described as the repeated collection of an image (in n-dimensions; x, y, z, λ) or 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 screen different drug derivatives, multiple dose ranges, or cell cultures with unique genetic backgrounds. The objective of this unit is to present the basic methodology for capturing time-lapse sequences and touch upon subsequent mining of the data for deriving event curves and possible cell lineage maps.
authors.affiliation: Institute of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
authors.forename: Rachel J
authors.initials: RJ
authors.lastname: Errington
authors.affiliation: Institute of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
authors.forename: Sally C
authors.initials: SC
authors.lastname: Chappell
authors.affiliation: Institute of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
authors.forename: Imtiaz A
authors.initials: IA
authors.lastname: Khan
authors.affiliation: Institute of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
authors.forename: Nuria
authors.initials: N
authors.lastname: Marquez
authors.affiliation: Institute of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
authors.forename: Marie
authors.initials: M
authors.lastname: Wiltshire
authors.affiliation: Institute of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
authors.forename: Victoria D
authors.initials: VD
authors.lastname: Griesdoorn
authors.affiliation: Institute of Cancer and Genetics, School of Medicine, Cardiff University, Cardiff, United Kingdom.
authors.forename: Paul J
authors.initials: PJ
authors.lastname: Smith
mesh_terms: D000818:Animals; D002448:Cell Adhesion; D002453:Cell Cycle; D016923:Cell Death; D019070:Cell Lineage; D057225:Data Mining; D059565:G2 Phase Cell Cycle Checkpoints; D006801:Humans; D008853:Microscopy / Q000379:methods*; D016196:S Phase; D059010:Single-Cell Analysis / Q000379:methods*; D059008:Time-Lapse Imaging / Q000379:methods*