Single-molecule protein identification and single-cell proteomics
Single-molecule protein identification and single-cell proteomics
批准号:
10674930
负责人:
Mingjie Dai
金额:
$24.9万
依托单位:
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:
未结题
起止时间:
2022-09-01 至 2025-08-31
关键词:
2019-nCoVAffinityAgingAmino AcidsAntibody SpecificityAwardBar CodesBasic ScienceBindingBiochemistryBioinformaticsBiological MarkersBiological Response Modifier TherapyBiomedical ResearchBiopsy SpecimenBiotechnologyBody FluidsCell Culture TechniquesCell SeparationCellsClinicalComplexComplex MixturesComputer AnalysisComputing MethodologiesCytolysisDNAData AnalysesDetectionDevelopmentDiagnosticDiseaseFutureGene Expression RegulationGoalsHigh-Throughput DNA SequencingHumanImageImmobilizationImmunologyIntelligenceKnowledgeLabelLeadMalignant NeoplasmsMass Spectrum AnalysisMechanicsMembrane ProteinsMentorsMethodsMicrofluidicsMicroscopyMitochondriaModelingModificationMolecularNerve DegenerationNucleic AcidsOpticsOrganellesOutcomePeptidesPreparationProteinsProteomeProteomicsRare DiseasesResearchResolutionSamplingScientistSignal TransductionSurfaceTechnical ExpertiseTechniquesTechnologyTherapeuticTrainingVertebral columnVisionbiological researchbiophysical analysisbiophysical techniquesdetection limitdetection methoddetection sensitivityemerging pathogeninnovationliquid biopsyminiaturizemolecular imagingnew technologynovelprecision medicinepreventprogramsprotein profilingsingle cell sequencingsingle moleculeskillssuperresolution microscopytechnology platformtoolultra high resolution
中文摘要
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英文摘要
ABSTRACT – Single-molecule protein identification and single-cell proteomics
Recent advances in high-throughput DNA sequencing has broadly transformed biological research and
biomedicine, and led to single-cell sequencing and precision medicine. Compared to nucleic acids, proteins more
directly reflect cellular states and dynamic changes, and are recognised as more effective biomarkers. Current
mass spectrometry-based proteomics suffers from limited detection sensitivity (requiring 105-6 peptide molecules),
and does not allow effective detection of low-abundance cellular proteins and biomarkers in small samples (e.g.
single cells or liquid biopsy samples). Given that a PCR-like self-replication strategy for protein amplification is
not within sight, there is an urgent need to develop an amplification-free (i.e. single-molecule) approach for
accurate, unbiased protein identification and high-throughput profiling.
The goal of this proposal is to develop a new technology that is capable of accurate, high-throughput protein
identification from unknown samples at the single-molecule level. The premise of this research is that super-
resolution microscopy can sensitively extract amino acid signatures (their abundances, or linear distribution
along the protein’s primary sequence) from single, intact protein molecules, which provide accurate identification
and high throughput for protein profiling. This technology will combine high-sensitivity, high-resolution DNA-
PAINT imaging, high-efficiency protein labelling, protein backbone extension, and microfluidic control for single-
cell manipulation. Specifically, I will develop two aims: (1) Develop the biochemistry, microscopy, biophysics,
and computational methods for enabling high-throughput, single-molecule protein identification using specific
amino acid signatures, (2) Develop a microfluidic workflow comprising single-cell lysis, protein capture and
modification, and single-molecule imaging for enabling single-cell proteomics. Successful completion of the
proposed research will lead to high-throughput, in-depth proteomic studies in a wide range of basic research and
clinical contexts, including single-cell proteomics (for mammalian and bacterial samples), discovery of low-
abundance biomarkers, and identification of new pathogens. Furthermore, novel concepts and methods
developed during this research (e.g. high-efficiency protein-DNA labelling, protein backbone extension) will form
the basis of future biophysical studies and biotechnological developments.
This K99/R00 award will facilitate my long-term goal to lead an independent academic research program and
develop intelligent molecular tools for advancing biological research and treatment of diseases. The training
provided during the K99 period, under the guidance of my excellent mentors, will allow me to further extend my
scientific knowledge and technical expertise, as well as to develop my professional skills to facilitate transition
towards an independent scientist and team manager.
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Single-molecule protein identification and single-cell proteomics
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批准号:10653329
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项目类别:
-
资助金额:$24.9万
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财政年份:2022
-
负责人:Mingjie Dai
-
依托单位:
Single-molecule protein identification and single-cell proteomics
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批准号:10302032
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项目类别:
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资助金额:$10.0万
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财政年份:2021
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负责人:Mingjie Dai
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依托单位:
海外基金