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J Mol Biol. 2016 Sep 25;428(19):3669-82. doi: 10.1016/j.jmb.2016.07.009. Epub 2016 Jul 16.

Signal Transduction at the Single-Cell Level: Approaches to Study the Dynamic Nature of Signaling Networks.

Author information

1
Departments of Chemistry and Biochemistry, Integrative Biology and Physiology, and Institute for Quantitative and Computational Biosciences (QCB), UCLA, Los Angeles, CA 90095, USA.
2
Departments of Chemistry and Biochemistry, Integrative Biology and Physiology, and Institute for Quantitative and Computational Biosciences (QCB), UCLA, Los Angeles, CA 90095, USA. Electronic address: rwollman@ucla.edu.

Abstract

Signal transduction, or how cells interpret and react to external events, is a fundamental aspect of cellular function. Traditional study of signal transduction pathways involves mapping cellular signaling pathways at the population level. However, population-averaged readouts do not adequately illuminate the complex dynamics and heterogeneous responses found at the single-cell level. Recent technological advances that observe cellular response, computationally model signaling pathways, and experimentally manipulate cells now enable studying signal transduction at the single-cell level. These studies will enable deeper insights into the dynamic nature of signaling networks.

KEYWORDS:

fluorescent biosensors; mathematical modeling; microfluidics; single cell

PMID:
27430597
PMCID:
PMC5023475
DOI:
10.1016/j.jmb.2016.07.009
[Indexed for MEDLINE]
Free PMC Article

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