Targeted proteomics technology for accurate quantitative single-cell proteomics
Targeted proteomics technology for accurate quantitative single-cell proteomics
批准号:
10096431
负责人:
Tujin Shi
金额:
$39.89万
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-09-23 至 2025-08-31
关键词:
AddressAdsorptionAmino AcidsAntibodiesBiologicalBiologyBiomedical ResearchBiopsyCancer BiologyCarrier ProteinsCell Culture TechniquesCell LineCell physiologyCellsClinicalCollectionComplexCoupledDetectionDevicesDiseaseEpidermal Growth Factor ReceptorEvolutionGeneticGenomic InstabilityGenomicsGenotypeGoalsHeterogeneityHumanImmunoassayIndividualIonsLabelLanthanoid Series ElementsLiquid ChromatographyMAP Kinase GeneMalignant NeoplasmsMammalian CellMass Spectrum AnalysisMeasurementMessenger RNAMethodsMovementPathway interactionsPeptidesPerformancePhenotypePreparationProteinsProteomeProteomicsRecoveryResearchResolutionSamplingSensitivity and SpecificitySignal PathwaySourceSpecificitySpecimenStable Isotope LabelingStructureSurfaceSystemTechniquesTechnologyVariantbasecancer heterogeneitycostdetection sensitivityexperienceimprovedinsightion mobilityion sourceionizationliquid chromatography mass spectrometryminimally invasivemultiple omicsnano-electrosprayneoplastic cellprecision medicinepressuresingle cell analysissingle cell technologysurfactanttechnology developmenttime of flight mass spectrometrytooltranscriptometranscriptomicstumortumor heterogeneitywhole genome
中文摘要
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英文摘要
ABSTRACT
Multi-omics characterization of a broad spectrum of small subpopulations of cells between tumors and within
individual tumors at the single-cell resolution is crucial to achieve understanding of a complete disease biology.
Furthermore, biologically important clinical specimens are available in low quantity (e.g., <10 tumor cells),
requiring advanced single-cell technologies for effective analysis. However, single-cell proteomics technologies
are lagging far behind other omics technologies. Antibody-based immunoassays are used primarily for targeted
single-cell proteomics, but they have inherent limitations (e.g., low multiplex), and generally lack quantitation
accuracy. Mass spectrometry (MS)-based targeted proteomics has emerged as an alternative for broad accurate
quantification. However, current single-cell MS can only allow for relative quantification of ~870 proteins from
single mammalian cells. There are three major challenges in single-cell MS for accurate quantitative single-cell
proteomics: 1) ineffective processing of single cells, 2) insufficient MS sensitivity and low sample throughput,
and 3) lacking well-characterized universal internal standard (UIS). To address these challenges, we propose to
develop a single-cell MS system for rapid accurate analysis of single-cell proteome. The feasibility is strongly
supported by our recent progress in many aspects of technology development (e.g., introducing the `carrier'
concept for effective processing of small numbers of cells including single cells, and developing disruptive MS
technologies to improve MS detection sensitivity and specificity) as well as our extensive experiences in high-
resolution liquid chromatography (LC) separation for sensitive detection and targeted proteomics analysis for
absolute quantification of signaling pathway proteins. The single-cell MS system will be developed through
1) establishing super-SILAC (stable isotope labeling with amino acids in cell culture) as both proteome carrier
and UIS, 2) incorporation of proteome carrier super-SILAC (cSILAC) into the sample preparation workflow for
robust processing of single cells, and 3) leveraging cutting-edging LC and MS technologies developed at PNNL
with integration of ultralow-flow LC separation, high-efficiency ion source (the combination of an emitter array
technology and sub-ambient pressure ionization with nanoelectrospray), and ultrafast high-resolution ion
mobility separation for significantly improving both MS sensitivity and sample throughput. Super-SILAC will
be characterized as UIS for absolute quantification with crude peptide standards, whose purity will be cost-
effectively accurately determined using a combined lanthanide labeling and ICP-MS method. With 96-well
plate-based cSILAC preparation and well-characterized UIS, the new single-cell MS system is expected to allow
for rapid accurate quantification of a large fraction of human proteome (~60%) in single cells with
~120 samples per day. We anticipate that the new MS system will eventually become a convenient
indispensable tool not only for quantitative single-cell proteomics but also for routine analysis of very small
samples (e.g., rare cells). In turn, it will make substantial contributions to current biomedical research.
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A scalable mass spectrometry platform for proteome mapping of brain tissues
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批准号:10370198
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项目类别:
-
资助金额:$367.37万
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财政年份:2021
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负责人:Tujin Shi
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依托单位:
海外基金