Nanotechnologies for Determining Gene Expression Patterns from Single Cells
Nanotechnologies for Determining Gene Expression Patterns from Single Cells
批准号:
8539804
负责人:
Jason C Reed
金额:
$30.2万
依托单位国家:
美国
项目类别:
财政年份:
2010
资助国家:
美国
项目状态:
已结题
起止时间:
2010-09-30 至 2015-08-31
关键词:
AddressAlgorithmsApplications GrantsAtomic Force MicroscopyBehaviorBenchmarkingBiochemicalBiochemistryBioinformaticsBiologicalBiological AssayBiological ProcessBiologyBrainCaliforniaCellsChemistryCodeCollaborationsComplementary DNAComplexComputer softwareDNA SequenceData AnalysesDatabasesDetectionDevelopmentDigestionDiseaseEngineeringEnzymesExperimental DesignsFundingGene ChipsGene ExpressionGene Expression ProfileGenesGenetic TranscriptionGenomicsGoalsHealthHourHumanImageIn SituIndividualInstitutesJournalsLocationMalignant NeoplasmsMeasuresMedicineMessenger RNAMethodsMolecularMolecular AnalysisNanotechnologyNew YorkPolynucleotidesProblem SolvingProceduresProcessPublicationsQuality ControlReproducibilityResearchResearch Project GrantsSamplingSampling BiasesScanning Probe MicroscopesScanning Probe MicroscopyScienceSoftware ToolsSorting - Cell MovementSurfaceSystemSystems BiologyTechniquesTestingTimeTissuesTranscriptUnited States National Institutes of HealthUniversitiesVertebral columnWorkbasecostdesigndigitalimage processinginstrumentinterdisciplinary collaborationmathematical modelmembernanoscalenanosciencenanosystemsresearch and developmentresearch studyresponserestriction enzymescale upsingle moleculestemtool
中文摘要
描述(由申请人提供):
英文摘要
DESCRIPTION (provided by applicant):
Project Summary All existing global gene expression assay techniques require relatively large quantities of analyte; in order to use them with the minute amount of mRNA present in a few or a single cell, enzymatic amplification is required [5]. This process is time consuming, technically difficult, and expensive. More importantly, the amplification process itself biases the sample in a way that prohibits truly quantitative analysis [6]. This, combined with specific limitations of microarrays and DNA sequencing, results in no straightforward method to study transcription in single cells. To solve this problem we aim to directly identify individual gene transcript molecules (in the form of cDNA) via atomic force microscopy. The Specific Aims of this Application are to combine the building blocks of hardware, software and chemistry that we have developed into an integrated, functional system. The improvement we are proposing will significantly impact medicine by reducing time, cost and technical complexity of small sample transcriptional profiling; and will lower the bioinformatics burden by producing easier to interpret, better quality of information.
PUBLIC HEALTH RELEVANCE:
Project Narrative The long term goal of our research is to dissect, understand, and control the biology of single cells in complex tissues, such as brain, or in malignant tumors. Furthering this body of work requires that we address an unsolved problem in single cell molecular analysis: the lack of a method to routinely, reliably and inexpensively determine global gene transcriptional activity. The nanotechnologies we are developing will significantly impact medicine by reducing time, cost and technical complexity of small sample transcriptional profiling; and will lower the bioinformatics burden by producing easier to interpret, better quality of information.
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海外基金