Measurement of single-cell dynamics
Spiller, David G., Wood, Christopher D., Rand, D. A. (David A.) and White, Michael R. H. (2010) Measurement of single-cell dynamics. Nature, Vol.465 (No.7299). pp. 736-745. ISSN 0028-0836Full text not available from this repository.
Official URL: http://dx.doi.org/10.1038/nature09232
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.
|Item Type:||Journal Item|
|Divisions:||Faculty of Science > Mathematics
Faculty of Science > Centre for Systems Biology
|Journal or Publication Title:||Nature|
|Official Date:||10 June 2010|
|Number of Pages:||10|
|Page Range:||pp. 736-745|
|Access rights to Published version:||Restricted or Subscription Access|
|Funder:||Biotechnology and Biological Sciences Research Council (Great Britain) (BBSRC), Medical Research Council (Great Britain) (MRC), Wellcome Trust, Engineering and Physical Sciences Research Council (EPSRC), BioSim Network of Excellence, European Union, PAPIIT (Programa de Apoyo a Proyectos de Investigacion e Innovacion Tecnologica, Mexico)|
|Grant number:||BBD0107481, BBF0059381, BBE0136001, BBE0042101, BBE0129651, BBF0052611, BBF0053181, BBF0058061, G0500346, 67252, 005137, IN223810|
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