Interfacing Droplets with Mass Spectrometry for Single-Cell Analysis
将液滴与质谱连接进行单细胞分析
基本信息
- 批准号:8539034
- 负责人:
- 金额:$ 20.8万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2010
- 资助国家:美国
- 起止时间:2010-09-01 至 2015-08-31
- 项目状态:已结题
- 来源:
- 关键词:AccelerationAddressAirAtmospheric PressureBiochemicalBlood capillariesCancer DetectionCell VolumesCellsChemicalsComplexDNADetectionDevelopmentDiseaseGene ExpressionGoalsIon TransportIonsKnowledgeLaboratoriesLipidsLiquid substanceMass Spectrum AnalysisMeasurementMicrofluidicsOperating SystemOptical MethodsOpticsOrganismPeptidesPhysiologyPolymerase Chain ReactionPositioning AttributeProteinsReactionResearchResolutionSamplingSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationSystemTechniquesTechnologyVacuumWorkanalytical methodbasebiological systemscapillarychemical reactiondesign and constructionexperienceimprovedinstrumentinterestionizationionization techniquemass spectrometermeetingsnext generationoptical trapspressurepublic health relevanceresponsesingle cell analysissingle moleculesmall molecule
项目摘要
This application addresses RFA-GM-1-1009, Exceptional, Unconventional Research Enabling Knowledge Acceleration (EUREKA)(R01). The basic unit of any biological system is the cell, and malfunctions at the single-cell level can result in devastating diseases. To understand the physiology and functions of any biological system, therefore, it is important to achieve measurements with single-cell resolutions. This proposal aims to employ advanced mass spectrometric technologies which, when appropriately combined with new droplet manipulation techniques, will allow us to meet the tremendous challenge of analyzing the contents of single cells with high sensitivty and information content using mass spectrometry. Specifically, the aim of this project is: Design and construct a mass spectrometer with the appropriate interface for ionizing and analyzing the contents of single cells trapped in liquid droplets. The interface will be a droplet nanolab platform with the optical trapping and positioning of droplets in air, which will be used towards achieving the efficient ionization of single-droplet contents and ion transport for mass spectrometry analysis. Atmospheric pressure chemical ionization (APCI) will be used for the analysis of small-molecule (e.g. metabolites and lipids) contents of single cells. MALDI will be used for the analysis of peptide and protein contents of single cells. The cell is the basic unit of any biological system; to understand the functions and malfunctions of an organism will thus necessitate measurements at the single-cell level. Yet the biochemical analysis of single cells is highly challenging, owing to both the minute amounts of sample available as well as the high complexity of the sample. In this proposed project, we aim to tackle these challenges by pushing the limit of sensitivity of mass spectrometry for analyzing the minute but highly concentrated single-cell derived samples present in droplets.
PUBLIC HEALTH RELEVANCE: The cell is the basic unit of any biological system; to understand the functions and malfunctions of an organism will thus necessitate measurements at the single-cell level. Yet the biochemical analysis of single cells is highly challenging, owing to both the minute amounts of sample available as well as the high complexity of the sample. In this proposed project, we aim to tackle these challenges by pushing the limit of sensitivity of mass spectrometry for analyzing the minute but highly concentrated single-cell derived samples present in droplets.
此应用程序涉及 RFA-GM-1-1009,实现知识加速的特殊非传统研究 (EUREKA)(R01)。任何生物系统的基本单位都是细胞,单细胞水平的故障可能导致毁灭性的疾病。因此,为了了解任何生物系统的生理学和功能,以单细胞分辨率实现测量非常重要。该提案旨在采用先进的质谱技术,当与新的液滴操作技术适当结合时,将使我们能够应对利用质谱分析高灵敏度和信息内容的单细胞内容物的巨大挑战。具体来说,该项目的目标是:设计和构建具有适当接口的质谱仪,用于电离和分析捕获在液滴中的单细胞的内容物。该接口将成为一个液滴纳米实验室平台,具有空气中液滴的光学捕获和定位功能,将用于实现单液滴内容物的高效电离和用于质谱分析的离子传输。大气压化学电离(APCI)将用于分析单细胞的小分子(例如代谢物和脂质)含量。 MALDI将用于分析单细胞的肽和蛋白质含量。细胞是任何生物系统的基本单位;因此,要了解生物体的功能和故障,就需要在单细胞水平上进行测量。然而,由于可用样品量极少且样品高度复杂,单细胞的生化分析极具挑战性。在这个拟议的项目中,我们的目标是通过突破质谱分析灵敏度的极限来应对这些挑战,以分析液滴中存在的微小但高度浓缩的单细胞衍生样品。
公共卫生相关性:细胞是任何生物系统的基本单位;因此,要了解生物体的功能和故障,就需要在单细胞水平上进行测量。然而,由于可用样品量极少且样品高度复杂,单细胞的生化分析极具挑战性。在这个拟议的项目中,我们的目标是通过突破质谱分析灵敏度的极限来应对这些挑战,以分析液滴中存在的微小但高度浓缩的单细胞衍生样品。
项目成果
期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Modulating patterns of two-phase flow with electric fields.
用电场调制两相流模式。
- DOI:10.1063/1.4891099
- 发表时间:2014
- 期刊:
- 影响因子:3.2
- 作者:Liu,Dingsheng;Hakimi,Bejan;Volny,Michael;Rolfs,Joelle;Anand,RobbynK;Turecek,Frantisek;Chiu,DanielT
- 通讯作者:Chiu,DanielT
Nanoliter segmented-flow sampling mass spectrometry with online compartmentalization.
- DOI:10.1021/ac500365r
- 发表时间:2014-04-01
- 期刊:
- 影响因子:7.4
- 作者:Volny, Michael;Rolfs, Joelle;Hakimi, Bejan;Frycak, Petr;Schneider, Thomas;Liu, Dingsheng;Yen, Gloria;Chiu, Daniel T.;Turecek, Frantisek
- 通讯作者:Turecek, Frantisek
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FRANTISEK TURECEK其他文献
FRANTISEK TURECEK的其他文献
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{{ truncateString('FRANTISEK TURECEK', 18)}}的其他基金
Interfacing Droplets with Mass Spectrometry for Single-Cell Analysis
将液滴与质谱连接进行单细胞分析
- 批准号:
8324269 - 财政年份:2010
- 资助金额:
$ 20.8万 - 项目类别:
Interfacing Droplets with Mass Spectrometry for Single-Cell Analysis
将液滴与质谱连接进行单细胞分析
- 批准号:
8136616 - 财政年份:2010
- 资助金额:
$ 20.8万 - 项目类别:
Interfacing Droplets with Mass Spectrometry for Single-Cell Analysis
将液滴与质谱连接进行单细胞分析
- 批准号:
7993923 - 财政年份:2010
- 资助金额:
$ 20.8万 - 项目类别:
Multiplex Analysis of Inborn Errors of Metabolism
先天性代谢缺陷的多重分析
- 批准号:
6929091 - 财政年份:1999
- 资助金额:
$ 20.8万 - 项目类别:
Multiplex Analysis of Inborn Errors of Metabolism
先天性代谢缺陷的多重分析
- 批准号:
7426533 - 财政年份:1999
- 资助金额:
$ 20.8万 - 项目类别:
Multiplex Analysis of Inborn Errors of Metabolism
先天性代谢缺陷的多重分析
- 批准号:
6612519 - 财政年份:1999
- 资助金额:
$ 20.8万 - 项目类别:
Multiplex Analysis of Inborn Errors of Metabolism
先天性代谢缺陷的多重分析
- 批准号:
7143170 - 财政年份:1999
- 资助金额:
$ 20.8万 - 项目类别:
Multiplex Analysis of Inborn Errors of Metabolism
先天性代谢缺陷的多重分析
- 批准号:
6803043 - 财政年份:1999
- 资助金额:
$ 20.8万 - 项目类别:
Multiplex Analysis of Inborn Errors of Metabolism
先天性代谢缺陷的多重分析
- 批准号:
7265273 - 财政年份:1999
- 资助金额:
$ 20.8万 - 项目类别:
Multiplex Analysis of Inborn Errors of Metabolism
先天性代谢缺陷的多重分析
- 批准号:
7487094 - 财政年份:1999
- 资助金额:
$ 20.8万 - 项目类别:
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