Electrochemically-Enhanced Plasmonic Imaging for Quantitative Proteomics
用于定量蛋白质组学的电化学增强等离子体成像
基本信息
- 批准号:8661191
- 负责人:
- 金额:$ 17.67万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2013
- 资助国家:美国
- 起止时间:2013-05-15 至 2014-11-30
- 项目状态:已结题
- 来源:
- 关键词:AddressAlgorithmsAntibodiesApplications GrantsAreaArizonaBehaviorBindingBiological AssayBiological ModelsBiosensing TechniquesBiosensorCarbonic Anhydrase IICell Surface ProteinsCell physiologyCellsCultured CellsData CollectionDetectionDevelopmentDrug InteractionsEnvironmentFluorescenceGlycolsGlycoproteinsHealthImageImaging TechniquesImaging technologyIn SituInstitutesKineticsLabelLeadMeasurementMembrane GlycoproteinsMembrane ProteinsMethodsMonitorPeptidesPerformancePharmaceutical PreparationsPhasePhosphorylationPhosphotransferasesPost-Translational Protein ProcessingPrintingProtein AnalysisProtein BindingProtein DynamicsProtein MicrochipsProteinsProteomicsReportingResearchResolutionSamplingSignal TransductionSmall Business Innovation Research GrantSolidSurface Plasmon ResonanceSystemTechnologyTestingTimeTranslationsUnited States National Institutes of HealthUniversitiesbasedensityelectric impedancefunctional grouphigh throughput analysisinhibitor/antagonistinstrumentnew technologyplasmonicsprotein functionprotein protein interactionprototyperesponsesmall moleculesoftware developmentsuccess
项目摘要
DESCRIPTION (provided by applicant): We are proposing a technology to help in three key areas of proteomics including (a) recognition of protein interactions, (b) characterization of post
translational modifications, and (c) quantitative measurements at high spatial and/or temporal resolution to address the dynamics of protein interactions. Several significant types of protein interactions remain difficult to study with existing technologies. For example, the analysis of membrane protein interactions (mostly glycol proteins) is challenging, because these proteins are not stable outside of their native amphiphilic cellular environment. Analysis of interaction kinetics between small molecules (<500 Da, including a vast majority of metabolites and drugs) and proteins is also lacking, because these molecules are too small for fluorescence labeling, and the binding signals are too weak for label-free detection methods. Similarly problematic is the characterization of protein post-translational modifications, which alter protein behavior due to the attachment of a small functional group after translation. Specifically, we propose an electrochemically-enhanced plasmonic imaging (ECEPI) system to address key needs for quantitative analysis of protein interaction dynamics, including the ability to study membrane protein interactions in their native cellular state, characterization of small molecule interaction and post-translational modifications, measurement of interactions at high spatial and temporal resolution for the study of sub-cellular processes, and performing high-throughput analysis in multi-cellular and microarray formats. The ECEPI system relies upon careful integration of three core technologies: 1) the electrochemical surface plasmon resonance systems that have been successfully commercialized by Biosensing Instrument Inc. (BI) for their unique capabilities and solid performance, 2) a proprietary high resolution distortion-free prism-based surface plasmon resonance (SPR) imaging system currently under development at BI for high-throughput interaction analysis, and 3) a highly sensitive impedance imaging technique invented at Arizona State University. The success of this project will lead to a new instrument that is capable of: 1)
Label-free real-time recognition and quantification of protein interaction kinetics; 2) Real-time characterization of post-translational modifications of proteins; 3) Quantitative measurement of small molecule interactions with proteins; 4) In situ quantification of membrane protein (and glycoprotein) interactions in their native cellular environment with cell-based assay; 5) High-resolution analysis of sub-cellular processes and; 6) High-throughput analysis in multi-cellular and microarray formats
描述(由申请人提供):我们提出了一种技术,以帮助蛋白质组学的三个关键领域,包括(a)识别蛋白质相互作用,(B)表征后,
翻译修饰,和(c)高空间和/或时间分辨率的定量测量,以解决蛋白质相互作用的动力学。几种重要类型的蛋白质相互作用仍然难以用现有技术进行研究。例如,膜蛋白相互作用(主要是乙二醇蛋白)的分析是具有挑战性的,因为这些蛋白质在其天然两亲性细胞环境之外是不稳定的。小分子(<500 Da,包括绝大多数代谢物和药物)与蛋白质之间的相互作用动力学分析也缺乏,因为这些分子太小而无法进行荧光标记,并且结合信号对于无标记检测方法来说太弱。类似的问题是蛋白质翻译后修饰的表征,其由于翻译后小官能团的附着而改变蛋白质行为。具体而言,我们提出了一种电化学增强等离子体成像(ECEPI)系统,以解决蛋白质相互作用动力学定量分析的关键需求,包括研究天然细胞状态下膜蛋白相互作用的能力,小分子相互作用和翻译后修饰的表征,以高空间和时间分辨率测量亚细胞过程研究的相互作用,以及以多细胞和微阵列形式进行高通量分析。ECEPI系统依赖于三个核心技术的精心集成:1)电化学表面等离子体共振系统,已被Biosensing Instrument Inc.成功商业化。(BI)凭借其独特的功能和可靠的性能,2)BI目前正在开发的专有高分辨率、无失真、基于棱镜的表面等离子体共振(SPR)成像系统,用于高通量相互作用分析,以及3)亚利桑那州发明的高灵敏度阻抗成像技术州立大学。该项目的成功将导致一种新的仪器,能够:1)
蛋白质相互作用动力学的无标记实时识别和定量; 2)蛋白质翻译后修饰的实时表征; 3)小分子与蛋白质相互作用的定量测量; 4)膜蛋白的原位定量(和糖蛋白)在它们的天然细胞环境中的相互作用与基于细胞的测定; 5)亚细胞过程的高分辨率分析; 6)多细胞和微阵列形式的高通量分析
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 }}
Nguyen Ly其他文献
Nguyen Ly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('Nguyen Ly', 18)}}的其他基金
Critical angle reflection imaging for label-free quantification of molecular interactions
用于分子相互作用无标记定量的临界角反射成像
- 批准号:
10596659 - 财政年份:2021
- 资助金额:
$ 17.67万 - 项目类别:
Development of a charge-sensitive optical detection system for high-throughput study of small molecules
开发用于小分子高通量研究的电荷敏感光学检测系统
- 批准号:
10255419 - 财政年份:2021
- 资助金额:
$ 17.67万 - 项目类别:
Development of a charge-sensitive optical detection system for high-throughput study of small molecules
开发用于小分子高通量研究的电荷敏感光学检测系统
- 批准号:
10407060 - 财政年份:2021
- 资助金额:
$ 17.67万 - 项目类别:
Critical angle reflection imaging for label-free quantification of molecular interactions
用于分子相互作用无标记定量的临界角反射成像
- 批准号:
10641600 - 财政年份:2021
- 资助金额:
$ 17.67万 - 项目类别:
Critical angle reflection imaging for label-free quantification of molecular interactions
用于分子相互作用无标记定量的临界角反射成像
- 批准号:
10325802 - 财政年份:2021
- 资助金额:
$ 17.67万 - 项目类别:
Critical angle reflection imaging for label-free quantification of molecular interactions
用于分子相互作用无标记定量的临界角反射成像
- 批准号:
10573402 - 财政年份:2021
- 资助金额:
$ 17.67万 - 项目类别:
Nano-Oscillator Arrays for Sensitive Plasmonic Detection of Molecular Interactions and Reactions
用于分子相互作用和反应的灵敏等离激元检测的纳米振荡器阵列
- 批准号:
9812346 - 财政年份:2018
- 资助金额:
$ 17.67万 - 项目类别:
An Integrated Microarray Printing and Detection System
集成微阵列打印和检测系统
- 批准号:
9447968 - 财政年份:2015
- 资助金额:
$ 17.67万 - 项目类别:
An Integrated Microarray Printing and Detection System
集成微阵列打印和检测系统
- 批准号:
8905487 - 财政年份:2015
- 资助金额:
$ 17.67万 - 项目类别:
Electrochemically-Enhanced Plasmonic Imaging for Quantitative Proteomics
用于定量蛋白质组学的电化学增强等离子体成像
- 批准号:
8524025 - 财政年份:2013
- 资助金额:
$ 17.67万 - 项目类别:
相似海外基金
DMS-EPSRC: Asymptotic Analysis of Online Training Algorithms in Machine Learning: Recurrent, Graphical, and Deep Neural Networks
DMS-EPSRC:机器学习中在线训练算法的渐近分析:循环、图形和深度神经网络
- 批准号:
EP/Y029089/1 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Research Grant
CAREER: Blessing of Nonconvexity in Machine Learning - Landscape Analysis and Efficient Algorithms
职业:机器学习中非凸性的祝福 - 景观分析和高效算法
- 批准号:
2337776 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Continuing Grant
CAREER: From Dynamic Algorithms to Fast Optimization and Back
职业:从动态算法到快速优化并返回
- 批准号:
2338816 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Continuing Grant
CAREER: Structured Minimax Optimization: Theory, Algorithms, and Applications in Robust Learning
职业:结构化极小极大优化:稳健学习中的理论、算法和应用
- 批准号:
2338846 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Continuing Grant
CRII: SaTC: Reliable Hardware Architectures Against Side-Channel Attacks for Post-Quantum Cryptographic Algorithms
CRII:SaTC:针对后量子密码算法的侧通道攻击的可靠硬件架构
- 批准号:
2348261 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Standard Grant
CRII: AF: The Impact of Knowledge on the Performance of Distributed Algorithms
CRII:AF:知识对分布式算法性能的影响
- 批准号:
2348346 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Standard Grant
CRII: CSR: From Bloom Filters to Noise Reduction Streaming Algorithms
CRII:CSR:从布隆过滤器到降噪流算法
- 批准号:
2348457 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Standard Grant
EAGER: Search-Accelerated Markov Chain Monte Carlo Algorithms for Bayesian Neural Networks and Trillion-Dimensional Problems
EAGER:贝叶斯神经网络和万亿维问题的搜索加速马尔可夫链蒙特卡罗算法
- 批准号:
2404989 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Standard Grant
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:
$ 17.67万 - 项目类别:
Continuing Grant
CAREER: Improving Real-world Performance of AI Biosignal Algorithms
职业:提高人工智能生物信号算法的实际性能
- 批准号:
2339669 - 财政年份:2024
- 资助金额:
$ 17.67万 - 项目类别:
Continuing Grant