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dc.contributor.authorWorboys, JD
dc.contributor.authorSinclair, J
dc.contributor.authorYuan, Y
dc.contributor.authorJørgensen, C
dc.date.accessioned2017-03-01T16:44:53Z
dc.date.issued2014-10-01
dc.identifier.citationNature methods, 2014, 11 (10), pp. 1041 - 1044
dc.identifier.issn1548-7091
dc.identifier.urihttps://repository.icr.ac.uk/handle/internal/459
dc.identifier.eissn1548-7105
dc.identifier.doi10.1038/nmeth.3072
dc.description.abstractIn targeted proteomics it is critical that peptides are not only proteotypic but also accurately represent the level of the protein (quantotypic). Numerous approaches are used to identify proteotypic peptides, but quantotypic properties are rarely assessed. We show that measuring ratios of proteotypic peptides across biological samples can be used to empirically identify peptides with good quantotypic properties. We applied this technique to identify quantotypic peptides for 21% of the human kinome.
dc.formatPrint-Electronic
dc.format.extent1041 - 1044
dc.languageeng
dc.language.isoeng
dc.publisherNATURE PUBLISHING GROUP
dc.rights.urihttps://www.rioxx.net/licenses/all-rights-reserved
dc.subjectCell Line, Tumor
dc.subjectHumans
dc.subjectProtein Kinases
dc.subjectPeptides
dc.subjectProteins
dc.subjectProteome
dc.subjectChromatography
dc.subjectProteomics
dc.subjectComputational Biology
dc.subjectGene Expression Regulation, Neoplastic
dc.subjectAlgorithms
dc.titleSystematic evaluation of quantotypic peptides for targeted analysis of the human kinome.
dc.typeJournal Article
dcterms.dateAccepted2014-07-14
rioxxterms.versionofrecord10.1038/nmeth.3072
rioxxterms.licenseref.urihttps://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2014-10
rioxxterms.typeJournal Article/Review
dc.relation.isPartOfNature methods
pubs.issue10
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/Closed research teams
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams/Cell Communication
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Computational Pathology & Integrated Genomics
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/Closed research teams
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Closed research teams/Cell Communication
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology
pubs.organisational-group/ICR/Primary Group/ICR Divisions/Molecular Pathology/Computational Pathology & Integrated Genomics
pubs.publication-statusPublished
pubs.volume11
pubs.embargo.termsNo embargo
icr.researchteamCell Communication
icr.researchteamComputational Pathology & Integrated Genomics
dc.contributor.icrauthorWorboys, Jonathan David
dc.contributor.icrauthorYuan, Yinyin


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