Multi-omics profiling of individual exosomes for their origin-tracing, biomarker discovery, and biological function characterization
Multi-omics profiling of individual exosomes for their origin-tracing, biomarker discovery, and biological function characterization
批准号:
10572470
负责人:
Yuchao Chen
金额:
$0.65万
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-03-01 至 2022-10-31
关键词:
AddressAlgorithmsAntibodiesBar CodesBiogenesisBioinformaticsBiologicalBiological AssayBiological MarkersBiological ProcessBiomedical TechnologyBlood specimenCommunitiesDNA SequenceDataDetectionDiseaseEarly DiagnosisEmulsionsEncapsulatedExpression ProfilingGene Expression ProfilingGoalsHeterogeneityHigh-Throughput DNA SequencingHuman Cell LineIndividualLabelMembrane ProteinsMessenger RNAMethodologyMethodsMicrofluidic MicrochipsModelingNucleic AcidsOligonucleotidesOutcomePerformancePhasePopulationPreparationPrognosisProteinsProteomicsRNAResearchResolutionSamplingSmall Business Innovation Research GrantSpeedSystemTechniquesTechnologyTissuesUntranslated RNAVariantbasebiomarker discoverydisease diagnosisexosomeextracellular vesiclesimaging modalityimprovedindividual variationinnovationinsightinterestmultiple omicsnanolitrenext generation sequencingparticleprotein profilingtargeted treatmenttechnological innovationtooltranscriptomics
中文摘要
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英文摘要
PROJECT SUMMARY / ABSTRACT
Exosomes, the small extracellular vesicles (30-200 nm), are highly heterogeneous in biofluids. However,
traditional bulk-level analysis approaches fail to represent their individual variations. A technique for multi-omics
profiling of exosomes at single-particle resolution is of great interest to the exosome research field, but has yet
to be developed. WellSIM proposes to develop and validate a method for multi-omics profiling of individual
exosomes based on our exosome isolation system (EXODUS), a droplet-based microfluidic device (EXOSeq),
and next-generation sequencing (NGS). Our proposed technique will be the first integrative proteomic and
transcriptomic profiling of exosomes at the single-particle level, offering high-resolution multi-dimensional
biological insights for exosome study and application.
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会议论文
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