High Resolution High Throughput Proteomics Platform for Cancer Research
High Resolution High Throughput Proteomics Platform for Cancer Research
批准号:
9357900
负责人:
Yehia Ibrahim
金额:
$41.09万
依托单位国家:
美国
项目类别:
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-08-01 至 2020-07-31
关键词:
AddressAdvanced Malignant NeoplasmBioinformaticsBiologicalClinicalComplexDNA Sequence AlterationDataData QualityDetectionDevelopmentDevicesFractionationFutureHourInformaticsIonsLaboratoriesLengthLiquid ChromatographyMass Spectrum AnalysisMeasurementPeptidesPerformancePhasePopulationPopulation StudyProteinsProteomeProteomicsReproducibilityResolutionRouteSamplingSpectrometrySpeedStructureTechnologyTimeTravelWorkanticancer researchbaseclinical applicationcomputerized data processingdata acquisitiondesigngenetic regulatory proteinimprovedion mobilityion sourceliquid chromatography mass spectrometrynovelnovel strategiesoperationtooltumor
中文摘要
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英文摘要
PROJECT SUMMARY/ABSTRACT
The objective of this project is to evaluate a new high-throughput and ultra-sensitive platform
that will enable more effective and higher throughput proteomics measurements to support and
advance cancer research. The new platform will provide substantially higher resolution ion
mobility spectrometry (IMS) separations than current platforms. This work also leverages
previous developments at our laboratory by combining these new capabilities with more
sensitive and efficient ion source and high accuracy MS technologies. The resolution of the IMS
achieved will be greatly increased by using electric traveling waves applied to an extremely long
path design based upon Structures for Lossless Ion Manipulations (SLIM), while also enabling
very high sensitivity to be achieved. The platform will provide approximately two orders of
magnitude improvement in measurement throughput for similar or better measurement
coverage, quantification, etc. over conventional condensed-phase liquid chromatography-mass
spectrometry (LC-MS) platforms, enabling thousands of samples to be analyzed in hours, rather
than weeks as at present. We will also adapt and refine bioinformatics tools developed in our
laboratory to provide automated and efficient data processing. Finally, the platform will be
evaluated utilizing complex clinical samples in terms of proteomic peptide/protein coverage,
measurement throughput, CVs of replicate analyses and platform robustness and in comparison
to leading-edge conventional LC-MS platforms available in our laboratory.
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会议论文
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批准号:9534591
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依托单位:
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项目类别:
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资助金额:$20.11万
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财政年份:2010
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依托单位: