Accelerating Live Single-Cell Signalling Studies.
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.
The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK; Department of Computational Systems Medicine, Imperial College London, South Kensington Campus, London, SW7 2AZ, UK. Electronic address: sam@socooper.com.
Sam
S
Cooper
The Institute of Cancer Research, 237 Fulham Road, London, SW3 6JB, UK.
Chris
C
Bakal
D000818:Animals; D002468:Cell Physiological Phenomena / Q000502:physiology*; D002478:Cells, Cultured; D020869:Gene Expression Profiling / Q000639:trends*; D006801:Humans; D060847:Metabolic Engineering / Q000639:trends*; D057054:Molecular Imaging / Q000639:trends*; D020543:Proteome / Q000235:genetics / Q000378:metabolism*; D015398:Signal Transduction / Q000502:physiology*
D020543:Proteome