Identifying the targets of oncogenic/tumor-suppressive F box proteins
Identifying the targets of oncogenic/tumor-suppressive F box proteins
批准号:
9016501
负责人:
David Paul Toczyski
金额:
$16.19万
依托单位国家:
美国
项目类别:
财政年份:
2015
资助国家:
美国
项目状态:
已结题
起止时间:
2015-04-01 至 2018-03-31
关键词:
AddressAffectAffinityAllelesBindingBiologyCell CycleCell LineCellsComplexCullin ProteinsDNA DamageDataDissociationDrug TargetingF-Box ProteinsFBXW7 geneGenerationsGenesGenomeHalf-LifeHealthHumanImmunoprecipitationIndividualLigaseLinkMass Spectrum AnalysisMediatingMethodsMultiple MyelomaMutagenesisMutateMutationOncogenicPhosphotransferasesPolyubiquitinProcessProtein AnalysisProteinsRegulationSKP Cullin F-Box Protein LigasesSKP2 geneSpecificityStructureSurfaceTechnologyTumor Suppressor GenesUbiquitinUbiquitinationWD RepeatWestern BlottingWorkYeastsbasecell growth regulationinhibitor/antagonistknock-downmembermutantnovelresearch studyresponsetumortumorigenesisubiquitin ligase
中文摘要
英文摘要
DESCRIPTION (provided by applicant): Ubiquitin biology represents a major mode of cellular regulation. The final step of ubiquitination involves the recognition of a substrate by a "ubiquiti ligase". Humans encode over 700 such ligases, significantly exceeding the number of kinases encoded by the genome. Among these ubiquitin ligase genes are many oncogenes and tumor suppressors. In many cases the substrates of these ligases have not been well defined, in part due to a lack of robust technologies for identifying these substrates. We have developed a method, which we call "Ligase Trapping" which traps the nascent ubiquitinated substrate on the ubiquitin ligase and allows for its co-purification and identification. Here, we will apply this technology to a group of ubiquitin ligase specificity subunits called F box proteins. Human's encode about 80 such proteins, and we will focus on nine that have either been shown to be mutated or mis-expressed in tumors, or have targets whose functions have been linked to tumorigenesis (such as cell cycle regulators and DNA damage response proteins). In addition, we will use this technology to characterize the binding surfaces of these substrate binders. Together, these data will allow the identification of potential drug targets, and, more importantly will allow the generation of inhibitors of the F box proteins themselves in such a way as to affect
the turnover of the most relevant substrates.
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