Measurement of single-cell dynamics

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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.

Item Type: Journal Item
Subjects: Q Science
Divisions: Faculty of Science, Engineering and Medicine > Science > Mathematics
Faculty of Science, Engineering and Medicine > Research Centres > Warwick Systems Biology Centre
Journal or Publication Title: Nature
Publisher: Nature Publishing
ISSN: 0028-0836
Official Date: 10 June 2010
Dates:
Date
Event
10 June 2010
Published
Volume: Vol.465
Number: No.7299
Number of Pages: 10
Page Range: pp. 736-745
DOI: 10.1038/nature09232
Status: Peer Reviewed
Publication Status: Published
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
URI: https://wrap.warwick.ac.uk/5766/

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