Accelerating Live Single-Cell Signalling Studies.
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Embargo End Date
ICR Authors
Authors
Cooper, S
Bakal, C
Bakal, C
Document Type
Journal Article
Date
2017-05-01
Date Accepted
2017-01-06
Abstract
The dynamics of signalling networks that couple environmental conditions with cellular behaviour can now be characterised in exquisite detail using live single-cell imaging experiments. Recent improvements in our abilities to introduce fluorescent sensors into cells, coupled with advances in pipelines for quantifying and extracting single-cell data, mean that high-throughput systematic analyses of signalling dynamics are becoming possible. In this review, we consider current technologies that are driving progress in the scale and range of such studies. Moreover, we discuss novel approaches that are allowing us to explore how pathways respond to changes in inputs and even predict the fate of a cell based upon its signalling history and state.
Citation
Trends in biotechnology, 2017, 35 (5), pp. 422 - 433
Source Title
Publisher
ELSEVIER SCIENCE LONDON
ISSN
0167-7799
eISSN
1879-3096
Collections
Research Team
Dynamical Cell Systems