title: Single live-cell imaging for systems biology.
abstract: Understanding how mammalian cells function requires a dynamic perspective. However, owing to the complexity of signalling networks, these non-linear systems can easily elude human intuition. The central aim of systems biology is to improve our understanding of the temporal complexity of cell signalling pathways, using a combination of experimental and computational approaches. Live-cell imaging and computational modelling are compatible techniques which allow quantitative analysis of cell signalling pathway dynamics. Non-invasive imaging techniques, based on the use of various luciferases and fluorescent proteins, trace cellular events such as gene expression, protein-protein interactions and protein localization in cells. By employing a number of markers in a single assay, multiple parameters can be measured simultaneously in the same cell. Following acquisition using specialized microscopy, analysis of multi-parameter time-lapse images facilitates the identification of important qualitative and quantitative relationships-linking intracellular signalling, gene expression and cell fate.
authors.affiliation: Centre for Cell Imaging, School of Biological Sciences, University of Liverpool, Liverpool L69 7ZB, U.K.
authors.forename: Dhanya
authors.initials: D
authors.lastname: Mullassery
authors.forename: Caroline A
authors.initials: CA
authors.lastname: Horton
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Wood
authors.forename: Michael R H
authors.initials: MR
authors.lastname: White
mesh_terms: D000818:Animals; D002470:Cell Survival; D005456:Fluorescent Dyes / Q000378:metabolism; D017930:Genes, Reporter; D006801:Humans; D021621:Imaging, Three-Dimensional; D008164:Luminescent Proteins / Q000378:metabolism; D049490:Systems Biology
chemical_list: D005456:Fluorescent Dyes; D008164:Luminescent Proteins
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