Automated Sample Preparation for Next Generation Sequencing Cancer Diagnostics
Automated Sample Preparation for Next Generation Sequencing Cancer Diagnostics
批准号:
8453792
负责人:
Nick C Trotta
金额:
$24.02万
依托单位:
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:
2013-07-01 至 2014-09-01
关键词:
AddressAutomationBase SequenceBioinformaticsBiological AssayBiopsyBiopsy SpecimenBusinessesCancer DiagnosticsCellsClinicalCollaborationsComplexCrude ExtractsDNADNA LibraryDNA SequenceDNA purificationDataDevelopmentDiagnosisDiagnosticDiagnostic testsDiseaseDoctor of PhilosophyEtiologyEvaluationFoundationsFutureGenerationsGenesGeneticGenetic MarkersGenetic Predisposition to DiseaseGenetic VariationGenomicsGenotypeGoalsLaboratoriesLeftLibrariesLinkLiquid substanceLogicMalignant NeoplasmsManualsMedicineMethodsMicrofluidicsMixed Cellular PopulationMolecular BiologyMonitorNormal tissue morphologyPhasePopulationPreparationProcessProtocols documentationReagentResearchResearch PersonnelSamplingSavingsSequence AnalysisSeriesSpeedSystemTechnologyTestingTranslatingTumor TissueVariantbaseclinical applicationcommercializationcost effectivecost effectivenessdeep sequencingdesigndigitalgenome sequencingimprovedinstrumentnext generationnext generation sequencingnovelprogramsprototypepublic health relevanceresearch studyskillstooltumor
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): As more diverse genetic links are established with cancer, the utility of one-gene-one-test diagnostics is diminished. In addition, biopsies are mixed
populations of tumor and normal tissue, requiring deconvolution of tumor and non-tumor genoptypes to accurately understand disease etiology and inform treatment decisions. The next generation of cancer diagnostics must therefore achieve two goals: 1) identify genetic variation in a high number of cancer-associated genes and 2) do so in a sample containing a mixed cellular population. Deep sequencing, using the so-called next generation sequencing (NGS) platforms represents a powerful and unique approach to address these challenges. Various capture methods exist, to isolate specific regions of the genome for sequencing on NGS platforms. Tumor and nontumor genotypes can then be discerned through bioinformatic analysis of the resulting sequencing data. To better enable deep sequencing of tumor biopsies, Advanced Liquid Logic (ALL) will apply its proprietary digital microfluidic liquid handling technology to automate the diagnostic cancer panel assay developed by Foundation Medicine. The resulting prototype system will automate the complex upstream sample preparation system required for NGS analysis of DNA extracted from crude tumor biopsies. ALL will develop a digital microfluidic cartridge capable of DNA purification/concentration, library preparation and targeted enrichment of the cancer-associated genes included in Foundation's panel. By processing these samples in sub-microliter volumes, the ALL platform will also enable analysis of very small biopsy samples, reducing DNA input requirements by 100-1000 fold. In addition to the reliability and labor savings associated with automation, ALL's platform offers cost-effectiveness for non- PCR based sequence capture methods ahead of NGS.
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Digital Microfluidic Sample Preparation of Blood for Mass Spectrometry
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批准号:8522972
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项目类别:
-
资助金额:$18.1万
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财政年份:2013
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负责人:Nick C Trotta
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依托单位:
海外基金