Christopher D Wood

Publications (2)39.99 Total impact

• Source

  Available from: David G Spiller

  Article: Measurement of single-cell dynamics.

  David G Spiller, Christopher D Wood, David A Rand, Michael R H White
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  ABSTRACT: Populations of cells are almost always heterogeneous in function and fate. To understand the plasticity of cells, it is vital to measure quantitatively and dynamically the molecular processes that underlie cell-fate decisions in single cells. Early events in cell signalling often occur within seconds of the stimulus, whereas intracellular signalling processes and transcriptional changes can take minutes or hours. By contrast, cell-fate decisions, such as whether a cell divides, differentiates or dies, can take many hours or days. Multiparameter experimental and computational methods that integrate quantitative measurement and mathematical simulation of these noisy and complex processes are required to understand the highly dynamic mechanisms that control cell plasticity and fate.
  Nature 06/2010; 465(7299):736-45. · 36.28 Impact Factor
• Article: Single live-cell imaging for systems biology.

  Dhanya Mullassery, Caroline A Horton, Christopher D Wood, Michael R H White
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  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.
  Essays in Biochemistry 02/2008; 45:121-33. · 3.71 Impact Factor