Literature DB >> 28161141

Accelerating Live Single-Cell Signalling Studies.

Sam Cooper1, Chris Bakal2.   

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.
Copyright © 2017 Elsevier Ltd. All rights reserved.

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Year:  2017        PMID: 28161141     DOI: 10.1016/j.tibtech.2017.01.002

Source DB:  PubMed          Journal:  Trends Biotechnol        ISSN: 0167-7799            Impact factor:   19.536


  4 in total

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  4 in total

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