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dc.contributor.authorGentzel, M
dc.contributor.authorPardo, M
dc.contributor.authorSubramaniam, S
dc.contributor.authorStewart, AF
dc.contributor.authorChoudhary, JS
dc.date.accessioned2019-06-04T09:57:48Z
dc.date.issued2019-07-15
dc.identifier.citationMethods (San Diego, Calif.), 2019, 164-165 pp. 67 - 72
dc.identifier.issn1046-2023
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/3249
dc.identifier.eissn1095-9130
dc.identifier.doi10.1016/j.ymeth.2019.03.028
dc.description.abstractThe identification of bona fide protein-protein interactions and the mapping of proteomes was greatly enhanced by protein tagging for generic affinity purification methods and analysis by mass spectrometry (AP-MS). The high quality of AP-MS data permitted the development of proteomic navigation by sequential tagging of identified interactions. However AP-MS is laborious and limited to relatively high affinity protein-protein interactions. Proximity labeling, first with the biotin ligase BirA, termed BioID, and then with ascorbate peroxidase, termed APEX, permits a greater reach into the proteome than AP-MS enabling both the identification of a wider field and weaker protein-protein interactions. This additional reach comes with the need for stringent controls. Proximity labeling also permits experiments in living cells allowing spatiotemporal investigations of the proteome. Here we discuss proximity labeling with accompanying methodological descriptions for E. coli and mammalian cells.
dc.formatPrint-Electronic
dc.format.extent67 - 72
dc.languageeng
dc.language.isoeng
dc.publisherACADEMIC PRESS INC ELSEVIER SCIENCE
dc.rights.urihttps://www.rioxx.net/licenses/under-embargo-all-rights-reserved
dc.subjectCell Line
dc.subjectAnimals
dc.subjectEscherichia coli
dc.subjectHydrogen Peroxide
dc.subjectBiotin
dc.subjectCarbon-Nitrogen Ligases
dc.subjectEscherichia coli Proteins
dc.subjectRepressor Proteins
dc.subjectStaining and Labeling
dc.subjectBiotinylation
dc.subjectProtein Interaction Mapping
dc.subjectProteomics
dc.subjectMass Spectrometry
dc.subjectAscorbate Peroxidases
dc.subjectSpatio-Temporal Analysis
dc.titleProteomic navigation using proximity-labeling.
dc.typeJournal Article
dcterms.dateAccepted2019-03-29
rioxxterms.versionofrecord10.1016/j.ymeth.2019.03.028
rioxxterms.licenseref.urihttps://www.rioxx.net/licenses/under-embargo-all-rights-reserved
rioxxterms.licenseref.startdate2019-07
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfMethods (San Diego, Calif.)
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/Functional Proteomics Group
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/Functional Proteomics Group
pubs.publication-statusPublished
pubs.volume164-165
pubs.embargo.termsNot known
icr.researchteamFunctional Proteomics Group
dc.contributor.icrauthorPardo Calvo, Maria Mercedes
dc.contributor.icrauthorChoudhary, Jyoti


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