Engineered proteases for proteomics
Engineered proteases for proteomics
批准号:
7670566
负责人:
Biao Ruan
金额:
$20.0万
依托单位国家:
美国
项目类别:
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-05-01 至 2011-01-31
关键词:
AffinityBacillus (bacterium)BiotinylationCleaved cellComplexDNA Restriction EnzymesDetectionDimensionsDiseaseEarly DiagnosisEngineeringEscherichia coli K12FrequenciesFundingGelGenomicsLeadMethodologyMethodsNaturePeptide HydrolasesPerformancePhage DisplayPhaseProteinsProteomeProteomicsRecombinant ProteinsResolutionSamplingSliceSpecificitySpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationStaining methodStainsSubtilisinsSystemTechnologyTestingWorkcommercial applicationdirected evolutioninnovationnovelprototypepublic health relevancetechnological innovationtherapy developmenttool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Proteomics is a rapidly expanding field but current methodologies remain inadequate for achieving its full potential. The most basic enzymological tool for characterizing proteins is the protease. Proteases are already an essential part of proteomic analysis but more sophisticated tools are needed to identify low abundance proteins in highly complex samples. We have engineered a prototype "restriction" protease which is active in denaturing conditions and which cuts specifically at a well-defined cognate sequence motif. Our basic innovation would be the ability to parse a proteome into sequence-edited slices and to detect these edited portions with high resolution and high sensitivity. In Phase I we propose to test the prototype restriction protease for its suitability in proteomic analysis and to implement a novel directed evolution methodology for the selection of proteases that cut new sequence motifs. The long range objective is to develop a sophisticated set of protease tools to facilitate proteomic analysis in the way restriction endonucleases have facilitated genomic analysis. PUBLIC HEALTH RELEVANCE: The complex and dynamic nature of proteomes make them rich with useful information but difficult to characterize. Our long-range objective is to develop a sophisticated set of protease tools to facilitate proteomic analysis in the way restriction endonucleases have facilitated genomic analysis. Better proteomic tools will lead to earlier detection of disease states, better treatments, better predictability of the effects of various treatments, and the development of individualized therapies.
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