High-throughput multidimensional bioseparations for next-generation proteomics
High-throughput multidimensional bioseparations for next-generation proteomics
批准号:
9181330
负责人:
Ryan T Kelly
金额:
$21.93万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-09-21 至 2018-08-31
关键词:
BenchmarkingBiologicalBiomedical ResearchBlood capillariesCapillary ElectrophoresisCell physiologyChargeClinicalCommunitiesComplexCouplingDepositionDevelopmentDiagnosticDiseaseEarly DiagnosisElectrospray IonizationFosteringFractionationFunctional disorderHourHumanInjection of therapeutic agentIonsLaboratoriesLeadLiquid ChromatographyLiquid substanceMCF10A cellsMass Spectrum AnalysisMeasurementMembraneMethodsMicrofluidic MicrochipsMicrofluidicsMonitorOilsPeptidesPerformancePhaseProteinsProteomeProteomicsReactionResearchResolutionRoboticsSamplingSampling StudiesSolventsSystemTechnologyTimebasebiological systemscapillarycostdesignevaporationhigh throughput technologyimprovedinnovationinstrumentinstrumentationliquid chromatography mass spectrometrymalignant breast neoplasmmass spectrometermetabolomicsmicrochipnanonext generationnovelpreventtranscriptomicstwo-dimensionalvoltagewasting
中文摘要
项目摘要
复杂生物样品的基于质谱(MS)的分析对于生物医学领域是必不可少的。
研究和临床诊断。分析的质量不仅取决于MS
分辨率和灵敏度,但通过用于将样品输送到仪器的液相分离,
具有更大峰容量的分离导致更多的被识别的种类和改进的
对这些身份的信任。增加分离的峰值容量目前需要
总分析时间的急剧增加,在蛋白质组覆盖率和
测量吞吐量。长的分析时间和昂贵的仪器的组合也
导致每次分析的高成本,阻碍了大量样本的研究,并强加了一个
临床诊断中常规实施的障碍。在这里,我们建议开发一个分离
方法基于液相色谱法(LC),然后快速毛细管电泳(CE),
在较短的总分析时间内实现峰值容量分离,
降低了每个样品的成本。而不是在从LC转移到
与过去的方法一样,我们将预浓缩并聚焦从LC洗脱的样品
最近使用基于微流控阀的电动预浓缩器将柱分离成窄带
在我们的实验室里开发的。然后将聚焦的条带注入CE分离柱中,
在MS分析之前快速分离。我们将在1小时内通过CE分析约60个LC级分,
总的峰值容量接近2000人由此产生的平台应提供以下顺序
与现有方法相比,单位时间的峰值容量有了很大的提高,
这是样品测量通量、灵敏度和每次分析成本的前所未有的组合。它
也将广泛影响其他生物分析,这些分析将受益于显著改善的
通量和峰值容量,包括用于靶向蛋白质组学的选定反应监测MS,
以及代谢组学和糖组学。系统与市售产品的兼容性
LC和MS仪器将促进生物医学领域的广泛适用性和实施。
研究社区。
英文摘要
PROJECT SUMMARY
Mass spectrometry (MS)-based analysis of complex biological samples is essential for biomedical
research and clinical diagnostics. The quality of the analysis is determined not only by the MS
resolution and sensitivity but by the liquid-phase separation used to deliver sample to the instrument,
with separations having larger peak capacities leading to more identified species and improved
confidence in those identifications. Increasing the peak capacity of a separation currently requires a
dramatic increase in the total analysis time, imposing a tradeoff between proteome coverage and
measurement throughput. The combination of long analysis times and expensive instrumentation also
results in a high cost per analysis, impeding studies with large numbers of samples and imposing a
barrier to routine implementation in clinical diagnostics. Here, we propose to develop a separation
method based on liquid chromatography (LC) followed by fast capillary electrophoresis (CE) to
achieve ultrahigh peak capacity separations with short overall analysis times, thus dramatically
decreasing the cost per sample. Rather than waste the majority of sample during transfer from LC to
CE as past approaches have done, we will preconcentrate and focus the sample eluting from the LC
column into a narrow band using a microfluidic valve-based electrokinetic preconcentrator recently
developed in our laboratory. The focused band will then be injected into the CE separation column for
rapid separation prior to MS analysis. We will analyze approximately 60 LC fractions by CE in 1 hour,
with an overall peak capacity approaching 2,000. The resulting platform should provide an order of
magnitude improvement in peak capacity per unit time over existing approaches and will enable an
unprecedented combination of sample measurement throughput, sensitivity and cost per analysis. It
will also broadly impact other biological analyses that will benefit from dramatically improved
throughput and peak capacities, including selected reaction monitoring MS for targeted proteomics,
as well as metabolomics and glycomics. The compatibility of the system with commercially available
LC and MS instrumentation will promote broad applicability and implementation in the biomedical
research community.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Advanced Sample Preparation, Separation and Multiplexed Analysis for In-Depth Proteome Profiling of >1000 Single Cells Per Day
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批准号:10642310
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项目类别:
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资助金额:$53.04万
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财政年份:2023
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负责人:Ryan T Kelly
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依托单位:
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomics
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批准号:10034850
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项目类别:
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资助金额:$33.05万
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财政年份:2020
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负责人:Ryan T Kelly
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依托单位:
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomics
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批准号:10796347
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项目类别:
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资助金额:$25.0万
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财政年份:2020
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负责人:Ryan T Kelly
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依托单位:
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomics
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批准号:10473767
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项目类别:
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资助金额:$33.05万
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财政年份:2020
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负责人:Ryan T Kelly
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依托单位:
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomics
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批准号:10683998
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项目类别:
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资助金额:$33.05万
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财政年份:2020
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负责人:Ryan T Kelly
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依托单位:
Fully automated and ultra-high-throughput platform for in-depth single-cell proteomics
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批准号:10255516
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项目类别:
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资助金额:$33.05万
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财政年份:2020
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负责人:Ryan T Kelly
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依托单位:
Area A: In-Depth Proteome Mapping of the Tumor Microenvironment with Single- Cell Resolution
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批准号:9752092
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项目类别:
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资助金额:$106.96万
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财政年份:2017
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负责人:Ryan T Kelly
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依托单位:
Automated processing and manipulation of small samples for high throughput and ultrasensitive functional proteomics measurements
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批准号:10461818
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项目类别:
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资助金额:$25.03万
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财政年份:2003
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负责人:Ryan T Kelly
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依托单位:
Automated processing and manipulation of small samples for high throughput and ultrasensitive functional proteomics measurements
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批准号:10220049
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项目类别:
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资助金额:$25.11万
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财政年份:2003
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负责人:Ryan T Kelly
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依托单位:
海外基金