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.
Single live-cell imaging for systems biology 9
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Olaf Wolkenhauer, Peter Wellstead, Kwang-Hyun Cho, Dhanya Mullassery, Caroline A. Horton, Christopher D. Wood, Michael R.H. White; Single live-cell imaging for systems biology 9. Essays Biochem 30 September 2008; 45 121–134. doi: https://doi.org/10.1042/bse0450121
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