An integrated computational and functional genomics discovery engine for preclini
An integrated computational and functional genomics discovery engine for preclini
批准号:
8685205
负责人:
CHRISTOPHER J KEMP
金额:
$101.3万
依托单位国家:
美国
项目类别:
财政年份:
2013
资助国家:
美国
项目状态:
已结题
起止时间:
2013-06-18 至 2017-04-30
关键词:
BioinformaticsBiological ModelsCancer BiologyCandidate Disease GeneCell Culture TechniquesCell LineCellsCisplatinClinicClinicalClinical OncologyClinical TreatmentClinical TrialsClinical Trials DesignComputational BiologyData SetDatabasesDevelopmentDisease ResistanceDoxorubicinDrug TargetingEpithelialExhibitsFundingFutureGene MutationGenesGeneticGenomeGenotypeGoldHandHead and Neck Squamous Cell CarcinomaHeterogeneityHumanInvestmentsKnowledgeLaboratoriesLeadLesionLethal GenesLibrariesMalignant NeoplasmsMammalian CellMethodsMolecularMutagensMutationOncogenesOncogenicOutcomePancreatic Ductal AdenocarcinomaPathway interactionsPatientsPharmaceutical PreparationsPlayPre-Clinical ModelPrimary NeoplasmRNA InterferenceResistanceResourcesRoboticsRoleSamplingScientistSmall Interfering RNASynapsesSynthetic GenesSystemTP53 geneTestingTherapeuticTimeTumor Suppressor GenesTumor Suppressor ProteinsXenograft procedurebasecancer cellcancer genomicscancer therapycancer typecandidate validationdata sharingexperiencefunctional genomicsgemcitabinegenome-widehigh throughput screeninginhibitor/antagonistinnovationmalignant breast neoplasmminiaturizemutantnoveloncologyopen sourcepublic health relevancescreeningsmall moleculestemsuccesstriple-negative invasive breast carcinomatumor
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Targeted therapies represent the future of oncology treatment. Toward this end, we have recently identified and subsequently validated novel drug targets in four independent settings that are effective and specific to tumors bearing mutations in common oncogenes and tumor suppressor genes. Our functional genetic approach, based on the genetic principle of synthetic lethality, utilizes a state-of-the-art high-throughput RNA interference and small molecule screening platform, genetically defined cell systems as well as patient-derived cultures for target discovery, advanced computational biology methods using publically available datasets to prioritize targets, and patient-derived xenografts to validate thee novel targets. Through the development and expansion of this integrative discovery engine, we will generate a gold standard synthetic lethal database for several major oncogenes/tumor suppressor genes and identify novel drug targets for three major cancer types. In the very near future this pipeline could be utilized for iterative clinical trial design and personalized cancer treatment.
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资助金额:$38.49万
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财政年份:2003
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依托单位:
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财政年份:2003
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Mouse Models of Tumor Progression and Therapy Response
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财政年份:1996
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依托单位:
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财政年份:1996
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依托单位:
DOUBLE STRAND BREAKS AND CARCINOGENESIS
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财政年份:1996
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依托单位:
The Role of Double Strand Breaks in Carcinogenesis
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资助金额:$38.49万
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财政年份:1996
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依托单位:
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海外基金