Developing novel RPPA for the detection of metastatic prostate cancer
开发新型 RPPA 用于检测转移性前列腺癌
基本信息
- 批准号:9200292
- 负责人:
- 金额:$ 22.5万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2016
- 资助国家:美国
- 起止时间:2016-09-01 至 2019-08-31
- 项目状态:已结题
- 来源:
- 关键词:AdoptedAffinityAgreementAntibodiesAutomationBasic ScienceBindingCell Culture TechniquesCell ExtractsChemicalsClinicalClinical ResearchCollaborationsDU145DetectionDevelopmentDiagnosisDiagnostic ProcedureDiseaseExhibitsGeneticHumanImageImmobilizationIndolentIonsKineticsMalignant NeoplasmsMalignant neoplasm of prostateMapsMeasuresMembraneMetalsMetastatic Prostate CancerMolecularMusNatureOncogenesPSA screeningPathway interactionsPatientsPhasePhospho-Specific AntibodiesPhosphopeptidesPhosphoproteinsPhosphorylationPolymersProceduresPrognostic MarkerProstatic NeoplasmsProtein ArrayProteomicsPyroxylinReagentReproducibilityResearch PersonnelSamplingScreening for Prostate CancerSensitivity and SpecificitySignal PathwaySignal TransductionSignaling MoleculeSmall Business Technology Transfer ResearchSpecificitySpottingsTechniquesTechnologyTestingTherapeuticTissue SampleUnited States National Institutes of HealthXenograft procedureanticancer researchbasecancer heterogeneitycancer typeclinical applicationcombatcostcost effectivenessdesignexperienceimprovedindividual patientinnovationmouse modelnanopolymernovelphase 1 studyphase 2 studypre-clinicalpre-clinical researchprotein profilingtooltumor
项目摘要
PROJECT SUMMARY
Reverse-phase protein array (RPPA) has emerged as a promising antibody-based highly quantitative
proteomic technology suitable for profiling proteins in hundreds to thousands of patient samples. The
throughput, sensitivity, and cost effectiveness of RPPA, together with its ability to deal with minuscule
sample amounts, have propelled applications of the technology in basic, preclinical and clinical
research fields. The technology, which relies heavily on the paucity of high-quality monospecific
antibodies, however, is only centered on detecting a few key signaling molecules due to limited
availability of high quality phosphospecific antibodies. In this NIH STTR Phase I study, we will
develop a novel RPPA platform based on metal ion-functionalized soluble nanopolymers into
commercial products for sensitive, high throughput profiling of signaling molecules without the
limitation of antibodies. The novel RPPA platform will be applied to distinguish aggressive from
indolent human prostate tumors in xenograft mouse models. We hypothesis that prostate cancer can
be classified by measuring phosphorylation changes on key oncogenes and thus a RPPA platform
can be used as a discovery and preclinical tool to distinguish aggressive from indolent tumors. The
following aims will be completed. Aim #1: Optimization of functionalized RPPA for capture and
detection of phosphopropteins. Aim #2: Pathway-activation profiling in indolent and aggressive
prostate cancer xenograft mouse models. By the completion of Phase I study, we expect that an
analytical platform can be established with high sensitivity, wide dynamic range, excellent
reproducibility, and affordable cost.
项目摘要
反相蛋白质芯片(RPPA)已成为一种很有前途的基于抗体的高度定量分析技术
蛋白质组学技术适用于分析数百至数千例患者样本中的蛋白质。的
RPPA的吞吐量、灵敏度和成本效益,以及其处理微小
样本量,推动了该技术在基础,临床前和临床中的应用
研究领域。这项技术在很大程度上依赖于缺乏高质量的单特异性
然而,由于限制,抗体仅集中于检测少数关键信号分子。
高质量磷酸特异性抗体的可用性。在这项NIH STTR I期研究中,我们将
开发基于金属离子官能化可溶性纳米聚合物的新型RPPA平台,
用于信号分子的灵敏、高通量分析的商业产品,
抗体的局限性。新的RPPA平台将被应用于区分侵略性和
惰性人前列腺肿瘤异种移植小鼠模型。我们假设前列腺癌可以
通过测量关键癌基因上的磷酸化变化进行分类,从而建立RPPA平台
可用作发现和临床前工具,以区分侵袭性肿瘤和惰性肿瘤。的
将完成以下目标。目的#1:用于捕获和纯化的官能化RPPA的优化
磷丙汀的检测。目的#2:惰性和攻击性的通路激活分析
前列腺癌异种移植小鼠模型。在第一阶段研究完成后,我们预计
可建立灵敏度高、动态范围宽、性能优良的分析平台
可重复性和可承受的成本。
项目成果
期刊论文数量(0)
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会议论文数量(0)
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W. Andy Tao其他文献
Epitope Imprinting of Phospholipids by Oriented Assembly at Oil/Water Interface for the Selective Recognition of Plasma Membranes
- DOI:
10.1002/anie.202213938 - 发表时间:
2023 - 期刊:
- 影响因子:
- 作者:
Juntao Zhou;Xianhui Cheng;Zhanchen Guo;Muhammad Mujahid Ali;Guiyuan Zhang;W. Andy Tao;Lianghai Hu;Zhen Liu - 通讯作者:
Zhen Liu
Mass spectrometry-based phosphoproteomics in clinical applications
基于质谱的临床应用磷酸化蛋白质组学
- DOI:
10.1016/j.trac.2023.117066 - 发表时间:
2023-06-01 - 期刊:
- 影响因子:12.000
- 作者:
Xiaofeng Wu;Yi-Kai Liu;Anton B. Iliuk;W. Andy Tao - 通讯作者:
W. Andy Tao
High-throughput capture and in situ protein analysis of extracellular vesicles by chemical probe-based array
基于化学探针阵列的细胞外囊泡高通量捕获与原位蛋白分析
- DOI:
10.1038/s41596-024-01082-z - 发表时间:
2024-10-22 - 期刊:
- 影响因子:16.000
- 作者:
Xin Feng;Ao Shen;Wei Zhang;Shengnan Jia;Anton Iliuk;Yuling Wang;Wenke Zhang;Ying Zhang;W. Andy Tao;Lianghai Hu - 通讯作者:
Lianghai Hu
Playing tag with quantitative proteomics
- DOI:
10.1007/s00216-008-2386-0 - 发表时间:
2008-10-10 - 期刊:
- 影响因子:3.800
- 作者:
Anton Iliuk;Jacob Galan;W. Andy Tao - 通讯作者:
W. Andy Tao
W. Andy Tao的其他文献
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{{ truncateString('W. Andy Tao', 18)}}的其他基金
Developing high throughput measurement of thiopurine in DNA by mass spectrometry
通过质谱法开发 DNA 中硫嘌呤的高通量测量
- 批准号:
9909135 - 财政年份:2020
- 资助金额:
$ 22.5万 - 项目类别:
Developing EV surface proteins as biosignatures for Alzheimer's disease (AD)
开发 EV 表面蛋白作为阿尔茨海默病 (AD) 的生物特征
- 批准号:
9908966 - 财政年份:2020
- 资助金额:
$ 22.5万 - 项目类别:
Dissecting signaling pathways and seeking EV phosphoproteins as novel biomarkers for Alzheimer's Disease
剖析信号通路并寻找 EV 磷蛋白作为阿尔茨海默病的新型生物标志物
- 批准号:
10399815 - 财政年份:2020
- 资助金额:
$ 22.5万 - 项目类别:
A Proteomic Platform to identify and Validate Biomarkers in Metabolic Syndrome and Coronary Artery Disease
用于识别和验证代谢综合征和冠状动脉疾病生物标志物的蛋白质组学平台
- 批准号:
9325547 - 财政年份:2015
- 资助金额:
$ 22.5万 - 项目类别:
A Proteomic Platform to identify and Validate Biomarkers in Metabolic Syndrome and Coronary Artery Disease
用于识别和验证代谢综合征和冠状动脉疾病生物标志物的蛋白质组学平台
- 批准号:
9144821 - 财政年份:2015
- 资助金额:
$ 22.5万 - 项目类别:
A Proteomic Platform to identify and Validate Biomarkers in Metabolic Syndrome and Coronary Artery Disease
用于识别和验证代谢综合征和冠状动脉疾病生物标志物的蛋白质组学平台
- 批准号:
8887497 - 财政年份:2015
- 资助金额:
$ 22.5万 - 项目类别:
Proteomic differentiation of leukemia cells based on multiplexed arrays and mass
基于多重阵列和质量的白血病细胞的蛋白质组分化
- 批准号:
8451922 - 财政年份:2013
- 资助金额:
$ 22.5万 - 项目类别:
New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling Pathways
用于分析酪氨酸激酶信号通路的蛋白质组学新技术
- 批准号:
8537209 - 财政年份:2010
- 资助金额:
$ 22.5万 - 项目类别:
New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling Pathways
用于分析酪氨酸激酶信号通路的蛋白质组学新技术
- 批准号:
8325721 - 财政年份:2010
- 资助金额:
$ 22.5万 - 项目类别:
New Proteomic Technologies for the Analysis of Tyrosine Kinase Signaling Pathways
用于分析酪氨酸激酶信号通路的蛋白质组学新技术
- 批准号:
7986538 - 财政年份:2010
- 资助金额:
$ 22.5万 - 项目类别:
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