title: Signal Transduction at the Single-Cell Level: Approaches to Study the Dynamic Nature of Signaling Networks.
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.
authors.affiliation: Departments of Chemistry and Biochemistry, Integrative Biology and Physiology, and Institute for Quantitative and Computational Biosciences (QCB), UCLA, Los Angeles, CA 90095, USA.
authors.forename: L Naomi
authors.initials: LN
authors.lastname: Handly
authors.affiliation: Departments of Chemistry and Biochemistry, Integrative Biology and Physiology, and Institute for Quantitative and Computational Biosciences (QCB), UCLA, Los Angeles, CA 90095, USA.
authors.forename: Jason
authors.initials: J
authors.lastname: Yao
authors.affiliation: 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.
authors.forename: Roy
authors.initials: R
authors.lastname: Wollman
mesh_terms: D005786:Gene Expression Regulation; D015398:Signal Transduction; D059010:Single-Cell Analysis / Q000379:methods*
keywords: fluorescent biosensors; mathematical modeling; microfluidics; single cell