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dc.contributor.authorCooper, S
dc.contributor.authorBakal, C
dc.date.accessioned2017-03-01T17:47:57Z
dc.date.issued2017-05-01
dc.identifier.citationTrends in biotechnology, 2017, 35 (5), pp. 422 - 433
dc.identifier.issn0167-7799
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/462
dc.identifier.eissn1879-3096
dc.identifier.doi10.1016/j.tibtech.2017.01.002
dc.description.abstractThe 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.
dc.formatPrint-Electronic
dc.format.extent422 - 433
dc.languageeng
dc.language.isoeng
dc.publisherELSEVIER SCIENCE LONDON
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectCells, Cultured
dc.subjectAnimals
dc.subjectHumans
dc.subjectProteome
dc.subjectGene Expression Profiling
dc.subjectSignal Transduction
dc.subjectCell Physiological Phenomena
dc.subjectMolecular Imaging
dc.subjectMetabolic Engineering
dc.titleAccelerating Live Single-Cell Signalling Studies.
dc.typeJournal Article
dcterms.dateAccepted2017-01-06
rioxxterms.versionofrecord10.1016/j.tibtech.2017.01.002
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by/4.0
rioxxterms.licenseref.startdate2017-05
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfTrends in biotechnology
pubs.issue5
pubs.notesNot known
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology/Dynamical Cell Systems
pubs.organisational-group/ICR
pubs.organisational-group/ICR/Primary Group
pubs.organisational-group/ICR/Primary Group/ICR Divisions
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Cancer Biology/Dynamical Cell Systems
pubs.publication-statusPublished
pubs.volume35
pubs.embargo.termsNot known
icr.researchteamDynamical Cell Systems
dc.contributor.icrauthorBakal, Christopher


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