Development of (Prototype) Bead Array Flow Cytometer with Mass Spectrometer Detec

开发带有质谱仪 Detec 的珠阵列流式细胞仪(原型)

基本信息

  • 批准号:
    8068379
  • 负责人:
  • 金额:
    $ 10.31万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2009
  • 资助国家:
    美国
  • 起止时间:
    2009-05-01 至 2012-04-30
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): The unambiguous identification of a rare, diseased cell for the purpose of early diagnosis requires the quantitative determination of many biomarkers simultaneously in individual cells at high throughput. A similar requirement for multi-parameter assay is shared by genomic and proteomic researchers, who need to determine simultaneously the presence and quantity of the many genes, proteins and small molecules involved in the translation of gene to cell activity. We propose a novel solution for a broad spectrum of bio-analytical challenges. The new technology takes advantage of the high resolution and sensitivity of inductively coupled plasma mass spectrometry (ICP-MS), combined with the many available stable isotopes of elements of the periodic table, to simultaneously determine many proteins and gene transcripts in samples through the quantification of stable isotope tags bound to a wide variety of bioaffinity molecules. Beads are an attractive option for supporting surface chemistries for immunoassays and oligonucleotide hybridization assays. One of the advantages of beads is the ability to increase the reaction surface area per volume of the reaction mixture, which provides a reliable means of increasing the capacity and dynamic range potential of an assay, as well as miniaturizing the reaction. We expect that our technology will be able to recognize many thousands of distinguishable analytical beads created by the incorporation of various concentrations and ratios of metal ions. We hope that this integrated massively multiplexed technology based on our prototype flow cytometer-mass spectrometer (FC-MS) and reagent support/encoding system will simplify and enhance the diagnostic, prognostic and therapeutic efficacy available to physicians and their patients, increasing the effectiveness of healthcare while substantially reducing the human and financial costs of treatment. The objective of this application is the development of analytical instrumentation, an advanced element (metal) encoding system and methodology for rapid recognition of functionalized encoded beads - the bead array mass spectrometer (BA-MS). The combination with an elemental detector will provide researchers and clinicians with massively multiplexed analytical capabilities. The focus of this application is on the development of an individual (cytometric) bead analysis at high throughput (employing the FC-MS invented, developed and built in our lab). FC-MS continues to undergo extensive development in our lab and is not yet available elsewhere. Our Specific Aims include: 1) development of these technologies to the engineering beta-level, suitable for placement in laboratories for routine use and evaluation. These beta instruments will be made available within 12 months of the completion of the proposed effort. 2) development of a statistically significant unambiguous encoding system with massive variability (>105 individual beads) and unsupervised algorithms to recognize encoding in a rapid and dependable manner. 3) development of demonstrative bio-analytical methods using the technology in a multiplexed format and validation against existing fluorochrome bead-based technologies. Our team has long experience in research and pre-commercial analytical instrument development, is completely committed to the goals and is poised to advance rapidly.
描述(由申请人提供):为了早期诊断目的明确识别罕见的疾病细胞,需要以高通量同时定量测定单个细胞中的许多生物标记物。基因组和蛋白质组研究人员对多参数分析也有类似的要求,他们需要同时确定参与基因到细胞活性转换的许多基因、蛋白质和小分子的存在和数量。我们提出了一种新的解决方案,以应对广泛的生物分析挑战。这项新技术利用电感耦合等离子体质谱(ICP-MS)的高分辨率和高灵敏度,结合元素周期表中许多可用的稳定同位素,通过定量与多种生物亲和力分子结合的稳定同位素标签,同时测定样品中的许多蛋白质和基因转录本。在免疫分析和寡核苷酸杂交分析中,珠子是支持表面化学的有吸引力的选择。小球的优点之一是能够增加反应混合物的单位体积的反应表面积,这为增加分析的容量和动态范围潜力以及使反应小型化提供了可靠的手段。我们预计,我们的技术将能够识别数千个通过加入不同浓度和比例的金属离子而产生的可区分的分析微珠。我们希望,这种基于我们的原型流式细胞仪-质谱仪(FC-MS)和试剂支持/编码系统的集成大规模多路复用技术将简化和增强医生及其患者可用的诊断、预后和治疗效果,提高医疗保健的有效性,同时大幅降低治疗的人力和经济成本。这项应用的目标是开发分析仪器,一种先进的元素(金属)编码系统和方法,用于快速识别功能化编码微珠-微珠阵列质谱仪(BA-MS)。与元素探测器的结合将为研究人员和临床医生提供大规模多路分析能力。这项应用的重点是开发一种高通量的个体(细胞学)珠子分析(使用我们实验室发明、开发和建造的FC-MS)。FC-MS在我们的实验室中继续进行广泛的开发,在其他地方还没有。我们的具体目标包括:1)将这些技术开发到工程测试级,适合放置在实验室进行常规使用和评估。这些测试版工具将在拟议工作完成后12个月内提供。2)开发具有巨大可变性的统计意义明确的编码系统(>105个单独的珠子)和无监督算法,以快速和可靠的方式识别编码。3)开发使用该技术的多种形式的示范生物分析方法,并对照现有的基于氟铬珠的技术进行验证。我们的团队在研究和商用前分析仪器开发方面拥有长期的经验,完全致力于实现这些目标,并准备快速发展。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Scott David Tanner其他文献

Scott David Tanner的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Scott David Tanner', 18)}}的其他基金

Development of (Prototype) Bead Array Flow Cytometer with Mass Spectrometer Detec
开发带有质谱仪 Detec 的珠阵列流式细胞仪(原型)
  • 批准号:
    7586381
  • 财政年份:
    2009
  • 资助金额:
    $ 10.31万
  • 项目类别:
Development of (Prototype) Bead Array Flow Cytometer with Mass Spectrometer Detec
开发带有质谱仪 Detec 的珠阵列流式细胞仪(原型)
  • 批准号:
    7816808
  • 财政年份:
    2009
  • 资助金额:
    $ 10.31万
  • 项目类别:

相似海外基金

CAREER: Efficient Algorithms for Modern Computer Architecture
职业:现代计算机架构的高效算法
  • 批准号:
    2339310
  • 财政年份:
    2024
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Continuing Grant
Collaborative Research: SHF: Small: Artificial Intelligence of Things (AIoT): Theory, Architecture, and Algorithms
合作研究:SHF:小型:物联网人工智能 (AIoT):理论、架构和算法
  • 批准号:
    2221742
  • 财政年份:
    2022
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Standard Grant
Collaborative Research: SHF: Small: Artificial Intelligence of Things (AIoT): Theory, Architecture, and Algorithms
合作研究:SHF:小型:物联网人工智能 (AIoT):理论、架构和算法
  • 批准号:
    2221741
  • 财政年份:
    2022
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Standard Grant
Algorithms and Architecture for Super Terabit Flexible Multicarrier Coherent Optical Transmission
超太比特灵活多载波相干光传输的算法和架构
  • 批准号:
    533529-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Collaborative Research and Development Grants
OAC Core: Small: Architecture and Network-aware Partitioning Algorithms for Scalable PDE Solvers
OAC 核心:小型:可扩展 PDE 求解器的架构和网络感知分区算法
  • 批准号:
    2008772
  • 财政年份:
    2020
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Standard Grant
Algorithms and Architecture for Super Terabit Flexible Multicarrier Coherent Optical Transmission
超太比特灵活多载波相干光传输的算法和架构
  • 批准号:
    533529-2018
  • 财政年份:
    2019
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Collaborative Research and Development Grants
Visualization of FPGA CAD Algorithms and Target Architecture
FPGA CAD 算法和目标架构的可视化
  • 批准号:
    541812-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 10.31万
  • 项目类别:
    University Undergraduate Student Research Awards
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759836
  • 财政年份:
    2018
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759796
  • 财政年份:
    2018
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Standard Grant
Collaborative Research: ABI Innovation: Algorithms for recovering root architecture from 3D imaging
合作研究:ABI 创新:从 3D 成像恢复根结构的算法
  • 批准号:
    1759807
  • 财政年份:
    2018
  • 资助金额:
    $ 10.31万
  • 项目类别:
    Standard Grant
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了