T7 RNA polymerase engineering and RNA amplification
T7 RNA polymerase engineering and RNA amplification
批准号:
7108369
负责人:
Andrew D Ellington
金额:
$67.21万
依托单位国家:
美国
项目类别:
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-08-01 至 2009-08-31
关键词:
AffectAreaAttentionBacteriophagesBiotinCellsClassificationComplementary DNAConditionConsensusDNADNA LigasesDNA SequenceDNA-Directed DNA PolymeraseDevelopmentDiagnosticEngineeringEnzyme StabilityEnzymesGene ExpressionGene Expression ProfilingGenesGenetic TranscriptionGoalsGrantHela CellsHumanHyperactive behaviorIn VitroLabelLaboratoriesLengthLiteratureMeasuresMessenger RNAMethodsMicroarray AnalysisMolecular ProfilingMutagenesisNucleotidesNumbersPerformancePharmaceutical PreparationsPhasePhase I Clinical TrialsPhysiciansPlayPopulationProceduresProcessPropertyProtocols documentationPublishingRNARNA amplificationRNA chemical synthesisRNA-Directed DNA PolymeraseRangeRateReactionRecoveryReproducibilityResearch PersonnelRibonuclease HRoleSamplingScreening procedureSmall Business Funding MechanismsSmall Business Innovation Research GrantStandardizationStandards of Weights and MeasuresStructureSurrogate MarkersSystemT7 RNA polymeraseTemperatureTestingTimeTranscriptTranscription Initiation SiteValidationVariantWorkbasebiological researchdesigndirected evolutionenzyme substrateimprovedinsightinterestmutantnovelprognosticprogramspromoterrapid techniqueresearch studythermostabilityvaccine development
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Expanding use of microarray systems for global gene expression profiling is leading biological research, providing diagnostic and prognostic value to physicians and facilitating target discovery during drug and vaccine development. There is strong interest in extending this microarray capability to more RNA-limited material to the point that a single cell can be profiled with confidence. The most widely used method for preparing samples for microarray analysis, which uses cDNA synthesis from mRNA followed by T7 RNA polymerase-based amplification, currently lacks the necessary sensitivity to meet these emerging needs. To overcome these methodological limitations, we propose to increase the final amplified RNA yield by 1) improving the efficiency of T7 RNA polymerase using structure-based engineering with directed evolution of function, 2) by optimizing the design of the promoter-template construct for specific amplification needs and 3) by re-standardization of cDNA synthesis for lower RNA inputs. The combined improvements are expected to lower the cell-limited RNA sample requirement by 100-fold compared to current, commercially available kits. This will enable microarray gene analysis with as little as 1 ng of total RNA with a single round of amplification or microarray profiling from a single cell (-10 pg of total RNA) after two rounds of amplification.
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会议论文
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