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Accelerating Live Single-Cell Signalling Studies

delete2017-05-01
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PRE
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S
Sam Cooper *
C
Chris Bakal
DOI:10.1016/j.tibtech.2017.01.002delete
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摘要

摘要

En 中文
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.
Keyword:
GENE-EXPRESSION
QUANTITATIVE-ANALYSIS
OPTOGENETIC CONTROL
OSCILLATORY CONTROL
DYNAMIC PROTEOMICS
POSITIVE FEEDBACK
PARTICLE TRACKING
SOFTWARE TOOLS
PROTEIN
TIME
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期刊

Trends in Biotechnology 封面图
Trends in Biotechnology
IF:
14.9
论文数:
3.8K
被引数:
2.0W

机构

U
university of london
学者数:
21.5W
论文数: 19.7W
被引数: 305
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