Picoelectrospray Ionization Mass Spectrometry for Top-down Proteomics
用于自上而下蛋白质组学的皮电喷雾电离质谱法
基本信息
- 批准号:10693274
- 负责人:
- 金额:$ 86.54万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-05-01 至 2024-08-31
- 项目状态:已结题
- 来源:
- 关键词:AcademiaAccelerationAddressAgingAntibodiesApoptosisBackBiologicalBiological AssayBiological ModelsBiomedical ResearchBlood capillariesCell SeparationCellsChargeCollaborationsCouplingDetectionDevelopmentDiameterDigestionDimensionsDiseaseEarly DiagnosisEnsureFoundationsFractionationFutureHousingHumanIndividualIndustryLengthLiquid ChromatographyMarketingMass Spectrum AnalysisMeasuresMesenchymal Stem CellsMethodsMicrofluidic MicrochipsModificationMolecular WeightMonitorPathologyPatientsPeptide HydrolasesPeptidesPerformancePhasePhysiologyPlasmaPositioning AttributeProtein ChemistryProtein IsoformsProteinsProteomeProteomicsPublishingRNA SplicingResolutionSalesSamplingSignal TransductionSiliconSmall Business Innovation Research GrantSolidSourceTailTechnologyTrypsinTubeValidationVendorcommercializationdisease diagnosticexperienceimaging systemimprovedindustry partnerinnovationionizationlipidomicsliquid chromatography mass spectrometrymass spectrometernanonew technologynovelprecision medicinepressureprotein biomarkersprotein complexprototyperesearch and developmentsenescencesingle cell analysissuccesstargeted treatmenttooltreatment response
项目摘要
Project Summary/Abstract
The proteome reflects the physiology and pathology states of a patient therefore proteomics is a powerful tool
for early diagnostics of diseases and monitoring of therapeutic responses. Mass spectrometry (MS) measures
the mass-to-charge ratio of charged species and has become the enabling technology for proteomics. However,
majority of the current proteomics studies rely on bottom-up approaches. In this case, mixtures of proteins are
digested by one of the proteases (e.g., trypsin), separated by liquid chromatography (LC), and analyzed by
electrospray mass spectrometry (ESI-MS). Despite tremendous successes, there remain two major limitations
in bottom-up proteomics: first, it is difficult to identify all protein isoforms or proteoforms, including splicing,
modifications, cleavages, etc.; second, the native state of proteins is always lost after digestion. There is currently
a great push to implement top-down proteomics, i.e., identification and characterization of full-length proteins by
LC-MS. Unfortunately, top-down proteomics proves to be much more challenging. There are several bottlenecks:
first, lower MS sensitivity of proteins relative to peptides; second, limitation on detection of high molecular weight
proteins; third, inefficient identification of proteins by MS/MS fragmentation; and fourth, laborious
multidimensional protein separation not suitable for small volumes of biological samples. The field is calling for
transformative technologies. In this Phase II project, Newomics Inc. proposes to further develop and
commercialize a new technology, nanoflow LC-picoelectrospray ionization mass spectrometry (NanoLC-
PicoESI-MS), for top-down proteomics of small-volume biological samples down to single cells. The technology
is built on our microfabricated monolithic multinozzle emitters (M3 emitters) and multinozzle emitter array (MEA)
chips for LC-nanoESI-MS, which collectively offer a straightforward yet novel solution to the longstanding
problem of the efficient coupling between silicon microfluidic chips and ESI-MS, and pave the way for the large-
scale integration on the proposed microfluidic chips for nanoLC-picoESI-MS. Our new PicoESI-MS platform will
directly address the aforementioned bottlenecks, and thus enable high-sensitivity, high-throughput, and multiplex
top-down proteomics of small volumes of biological samples, thereby contributing to precision medicine.
项目概要/摘要
蛋白质组反映了患者的生理和病理状态,因此蛋白质组学是一个强大的工具
用于疾病的早期诊断和治疗反应的监测。质谱 (MS) 测量
带电物质的质荷比,已成为蛋白质组学的支持技术。然而,
目前大多数蛋白质组学研究都依赖于自下而上的方法。在这种情况下,蛋白质的混合物是
通过其中一种蛋白酶(例如胰蛋白酶)消化,通过液相色谱 (LC) 分离,并通过
电喷雾质谱(ESI-MS)。尽管取得了巨大的成功,但仍然存在两个主要限制
在自下而上的蛋白质组学中:首先,很难识别所有蛋白质异构体或蛋白质异构体,包括剪接,
修饰、裂解等;其次,蛋白质的天然状态在消化后总是会丢失。目前有
大力推动自上而下的蛋白质组学的实施,即通过以下方法对全长蛋白质进行鉴定和表征
LC-MS。不幸的是,自上而下的蛋白质组学被证明更具挑战性。有几个瓶颈:
首先,蛋白质相对于肽的 MS 灵敏度较低;二、高分子量检测的局限性
蛋白质;第三,通过 MS/MS 碎片鉴定蛋白质的效率低下;第四,辛苦
多维蛋白质分离不适合小体积的生物样品。领域正在呼唤
变革性技术。在这个二期项目中,Newomics Inc.建议进一步开发和
将新技术纳流LC-皮电喷雾电离质谱(NanoLC-
PicoESI-MS),用于小体积生物样品直至单细胞的自上而下的蛋白质组学。技术
基于我们的微加工单片多喷嘴发射器(M3 发射器)和多喷嘴发射器阵列 (MEA)
用于 LC-nanoESI-MS 的芯片,这些芯片共同为长期存在的问题提供了简单而新颖的解决方案
解决了硅微流控芯片与ESI-MS之间的高效耦合问题,为大规模应用铺平了道路。
在所提出的 nanoLC-picoESI-MS 微流控芯片上进行规模集成。我们的新 PicoESI-MS 平台将
直接解决上述瓶颈,从而实现高灵敏度、高通量和多路复用
少量生物样本的自上而下的蛋白质组学,从而有助于精准医学。
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)
Proteoform-Specific Protein Binding of Small Molecules in Complex Matrices.
- DOI:10.1021/acschembio.6b01018
- 发表时间:2017-02-17
- 期刊:
- 影响因子:4
- 作者:Gil G;Mao P;Avula B;Ali Z;Chittiboyina AG;Khan IA;Walker LA;Wang D
- 通讯作者:Wang D
Biomonitoring of perfluorinated compounds in a drop of blood.
- DOI:10.1021/acs.est.5b01442
- 发表时间:2015-06-02
- 期刊:
- 影响因子:11.4
- 作者:Mao, Pan;Wang, Daojing
- 通讯作者:Wang, Daojing
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DAOJING WANG其他文献
DAOJING WANG的其他文献
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{{ truncateString('DAOJING WANG', 18)}}的其他基金
Ultrahigh-throughput Identification of Molecular Targets of Natural Products
天然产物分子靶标的超高通量鉴定
- 批准号:
8712293 - 财政年份:2014
- 资助金额:
$ 86.54万 - 项目类别:
AD-MS Chips for Biofluids-Based Diagnosis of Alzheimer's Disease
AD-MS 芯片用于基于生物流体的阿尔茨海默病诊断
- 批准号:
8779649 - 财政年份:2014
- 资助金额:
$ 86.54万 - 项目类别:
Ultrahigh-throughput Identification of Molecular Targets of Natural Products
天然产物分子靶标的超高通量鉴定
- 批准号:
9263893 - 财政年份:2014
- 资助金额:
$ 86.54万 - 项目类别:
Picoelectrospray Ionization Mass Spectrometry for Top-down Proteomics
用于自上而下蛋白质组学的皮电喷雾电离质谱法
- 批准号:
10546686 - 财政年份:2014
- 资助金额:
$ 86.54万 - 项目类别:
AD-MS Chips for Biofluids-Based Diagnosis of Alzheimer's Disease
AD-MS 芯片用于基于生物流体的阿尔茨海默病诊断
- 批准号:
9789132 - 财政年份:2014
- 资助金额:
$ 86.54万 - 项目类别:
AD-MS Chips for Biofluids-Based Diagnosis of Alzheimer's Disease
AD-MS 芯片用于基于生物流体的阿尔茨海默病诊断
- 批准号:
8897940 - 财政年份:2014
- 资助金额:
$ 86.54万 - 项目类别:
Picoelectrospray Ionization Mass Spectrometry for Top-down Proteomics
用于自上而下蛋白质组学的皮电喷雾电离质谱法
- 批准号:
8648134 - 财政年份:2014
- 资助金额:
$ 86.54万 - 项目类别:
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