Format

Send to:

Choose Destination
See comment in PubMed Commons below
Nature. 2010 Jun 10;465(7299):736-45. doi: 10.1038/nature09232.

Measurement of single-cell dynamics.

Author information

  • 1Centre for Cell Imaging, School of Biological Sciences, Bioscience Research Building, Crown Street, Liverpool L69 7ZB, UK.

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.

PMID:
20535203
[PubMed - indexed for MEDLINE]

Publication Types, MeSH Terms, Grant Support

Publication Types

MeSH Terms

Grant Support

PubMed Commons home

PubMed Commons

0 comments
How to join PubMed Commons

    Supplemental Content

    Full text links

    Icon for Nature Publishing Group
    Loading ...
    Write to the Help Desk