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dc.contributor.authorMardakheh, FK
dc.contributor.authorSailem, HZ
dc.contributor.authorKümper, S
dc.contributor.authorTape, CJ
dc.contributor.authorMcCully, RR
dc.contributor.authorPaul, A
dc.contributor.authorAnjomani-Virmouni, S
dc.contributor.authorJørgensen, C
dc.contributor.authorPoulogiannis, G
dc.contributor.authorMarshall, CJ
dc.contributor.authorBakal, C
dc.date.accessioned2016-11-25T09:58:56Z
dc.date.issued2016-12-20
dc.identifier.citationMolecular bioSystems, 2016, 13 (1), pp. 92 - 105
dc.identifier.issn1742-206X
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/307
dc.identifier.eissn1742-2051
dc.identifier.doi10.1039/c6mb00701e
dc.description.abstractLocalisation and protein function are intimately linked in eukaryotes, as proteins are localised to specific compartments where they come into proximity of other functionally relevant proteins. Significant co-localisation of two proteins can therefore be indicative of their functional association. We here present COLA, a proteomics based strategy coupled with a bioinformatics framework to detect protein-protein co-localisations on a global scale. COLA reveals functional interactions by matching proteins with significant similarity in their subcellular localisation signatures. The rapid nature of COLA allows mapping of interactome dynamics across different conditions or treatments with high precision.
dc.formatPrint
dc.format.extent92 - 105
dc.languageeng
dc.language.isoeng
dc.publisherROYAL SOC CHEMISTRY
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0
dc.subjectCell Line
dc.subjectIntracellular Space
dc.subjectSubcellular Fractions
dc.subjectHumans
dc.subjectProteome
dc.subjectChromatography, Liquid
dc.subjectCell Fractionation
dc.subjectCluster Analysis
dc.subjectSensitivity and Specificity
dc.subjectProtein Interaction Mapping
dc.subjectProteomics
dc.subjectProtein Binding
dc.subjectProtein Transport
dc.subjectMass Spectrometry
dc.subjectProtein Interaction Maps
dc.titleProteomics profiling of interactome dynamics by colocalisation analysis (COLA).
dc.typeJournal Article
dcterms.dateAccepted2016-11-01
rioxxterms.versionofrecord10.1039/c6mb00701e
rioxxterms.licenseref.urihttps://creativecommons.org/licenses/by-nc/4.0
rioxxterms.licenseref.startdate2016-12
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfMolecular bioSystems
pubs.issue1
pubs.notesNo embargo
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/Primary Group/ICR Divisions/Cancer Biology/Signalling & Cancer Metabolism
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams/Oncogene
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/Primary Group/ICR Divisions/Cancer Biology/Signalling & Cancer Metabolism
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams/Oncogene
pubs.publication-statusPublished
pubs.volume13
pubs.embargo.termsNo embargo
icr.researchteamDynamical Cell Systems
icr.researchteamSignalling & Cancer Metabolism
icr.researchteamOncogene
dc.contributor.icrauthorPoulogiannis, Georgios
dc.contributor.icrauthorBakal, Christopher


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