A Novel Class of Enzyme Sensors to Elucidate the Biochemical Responses of Human Nasal Epithelial Cells to Heavy Metals

一类新型酶传感器可阐明人鼻上皮细胞对重金属的生化反应

基本信息

  • 批准号:
    10172971
  • 负责人:
  • 金额:
    $ 0.54万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2019
  • 资助国家:
    美国
  • 起止时间:
    2019-06-01 至 2021-08-04
  • 项目状态:
    已结题

项目摘要

7. Project Summary Heavy metals comprise a major class of chemical exposure agents and have a significant impact on public health causing morbidity and mortality following environmental, occupational, and/or ambient exposures.1 Inhalation is one of the most common routes for heavy metal exposures, and is known to cause respiratory inflammation, cancers, metal fume fever, asthma, and reduced physical performance.2-6 Importantly, it is known that aberrant activity of Akt kinase and/or epidermal growth factor receptor kinase (EGFR) occurs within respiratory epithelial tissue following exposures to heavy metals.6-9 However, due to the inherent cellular heterogeneity of cells within the respiratory epithelium and the dynamic responses of single cells to chemical stimuli;10 the effects of heavy metal exposures on the signaling dynamics on single cells across different cell types within the respiratory epithelium is unknown.11 Therefore, a single cell analysis technology that can obtain multiplexed measurements of Akt & EGFR activity in ultra-small samples of primary respiratory epithelial cells, would improve our understanding of the biochemical mechanisms that underlie heavy metal exposures. Importantly, such a technology can potentially enable clinicians to identify early warning signs of heavy metal induced toxicity and/or disease induction in individuals from very small, heterogeneous primary samples. I aim to improve biochemical investigations of the respiratory epithelium, by employing sensor based chemical cytometry. Sensor based chemical cytometry is a single cell analysis method in which biomolecular sensors are used to measure signaling dynamics in small populations of single cells.12-16 Here, I propose the development of a novel set of fluorescent enzyme sensors to obtain multiplexed measurements of Akt & EGFR within single cells using capillary electrophoresis employing fluorescence detection (CE-F). I also aim to improve the design and functionality of the proposed enzyme sensors; by installing photoactivatable moieties on the phosphorylation sites, I expect to improve membrane permeability of the sensors, and gain control over the kinase reaction start time within cells.16 Additionally, I plan to control the kinase reaction stop time in cells by developing a novel chemo-selective reagent which halts intracellular reactions, and facilitates reporter recovery for analysis via CE-F. Studies made possible using these novel enzyme sensors will bolster our understanding of the biochemical mechanisms that govern the induction of disease and/or resilience from ultra-small populations of primary respiratory epithelial cells. Additionally, the knowledge gained from this proposal would improve our understanding of the biochemical mechanisms that underlie heavy metal exposures, while identifying novel strategies to develop cell permeable sensors to achieve temporally controlled reactions within single cells.
7.项目摘要 重金属是一种主要的化学接触媒介,对公众有重大影响。 环境、职业和/或周围环境破坏后导致健康的发病率和死亡率。 吸入是重金属暴露的最常见途径之一,已知会引起呼吸道疾病。 炎症、癌症、金属烟雾热、哮喘和体能下降。2 -6重要的是,已知 Akt激酶和/或表皮生长因子受体激酶(EGFR)的异常活性发生在 呼吸道上皮组织暴露于重金属后。6 -9然而,由于固有的细胞 呼吸道上皮内细胞的异质性和单细胞对化学物质的动态反应 刺激;10重金属暴露对不同细胞间单细胞信号动力学的影响 呼吸道上皮内的细胞类型是未知的。11因此, 在原发性呼吸道上皮细胞的超小样本中获得Akt和EGFR活性的多重测量, 细胞,将提高我们对重金属暴露的生化机制的理解。 重要的是,这种技术可能使临床医生能够识别重金属的早期预警信号 从非常小的、异质的原始样本中诱导个体的毒性和/或疾病诱导。 我的目标是改善呼吸上皮的生化研究,通过采用传感器为基础的化学 细胞仪基于传感器的化学细胞术是单细胞分析方法,其中生物分子传感器 用于测量小群体单细胞中的信号动力学。12 -16在这里,我提出了 开发一套新的荧光酶传感器,以获得Akt和EGFR的多重测量 使用采用荧光检测的毛细管电泳(CE-F)在单细胞内进行。我还打算 改进所提出的酶传感器的设计和功能;通过安装光活化部分 在磷酸化位点上,我期望提高传感器的膜渗透性,并获得对 此外,我计划控制细胞中激酶反应的停止时间 通过开发一种新的化学选择性试剂, 通过CE-F进行回收分析。 使用这些新型酶传感器的研究将加强我们对生物化学的理解。 控制疾病的诱导和/或从超小群体的恢复力的机制, 呼吸道上皮细胞此外,从这项建议中获得的知识将提高我们的 了解重金属暴露的生化机制,同时确定新的 开发细胞可渗透传感器的策略,以实现单细胞内的时间控制反应。

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 }}

Matthew M Anttila其他文献

Matthew M Anttila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('Matthew M Anttila', 18)}}的其他基金

A Novel Class of Enzyme Sensors to Elucidate the Biochemical Responses of Human Nasal Epithelial Cells to Heavy Metals
一类新型酶传感器可阐明人鼻上皮细胞对重金属的生化反应
  • 批准号:
    9755727
  • 财政年份:
    2019
  • 资助金额:
    $ 0.54万
  • 项目类别:

相似海外基金

Creation of nano-biochemical reaction platform using hydrated polymer brush thin film
利用水合聚合物刷薄膜创建纳米生化反应平台
  • 批准号:
    23K17717
  • 财政年份:
    2023
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Creation of biochemical reaction field for target specific reaction in cellulo, by synthetic chromatin liquid-liquid phase separation
通过合成染色质液-液相分离,为纤维素中的目标特异性反应创建生化反应场
  • 批准号:
    22KJ0929
  • 财政年份:
    2023
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
Theory of biochemical reaction networks in cells: understanding and exploiting stochastic fluctuations
细胞生化反应网络理论:理解和利用随机波动
  • 批准号:
    RGPIN-2019-06443
  • 财政年份:
    2022
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Discovery Grants Program - Individual
Theory of biochemical reaction networks in cells: understanding and exploiting stochastic fluctuations
细胞生化反应网络理论:理解和利用随机波动
  • 批准号:
    RGPIN-2019-06443
  • 财政年份:
    2021
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Discovery Grants Program - Individual
Theory of biochemical reaction networks in cells: understanding and exploiting stochastic fluctuations
细胞生化反应网络理论:理解和利用随机波动
  • 批准号:
    RGPIN-2019-06443
  • 财政年份:
    2020
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Discovery Grants Program - Individual
Theory of biochemical reaction networks in cells: understanding and exploiting stochastic fluctuations
细胞生化反应网络理论:理解和利用随机波动
  • 批准号:
    DGECR-2019-00215
  • 财政年份:
    2019
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Discovery Launch Supplement
Theory of biochemical reaction networks in cells: understanding and exploiting stochastic fluctuations
细胞生化反应网络理论:理解和利用随机波动
  • 批准号:
    RGPIN-2019-06443
  • 财政年份:
    2019
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Discovery Grants Program - Individual
Identification of Metabolic Phenotypes and Systemic Biochemical Reaction Networks Associated with Human Blood Pressure
与人体血压相关的代谢表型和全身生化反应网络的鉴定
  • 批准号:
    MR/S004033/1
  • 财政年份:
    2018
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Fellowship
CAREER: Biochemical Reaction Systems: from Structure to Dynamics
职业:生化反应系统:从结构到动力学
  • 批准号:
    1752672
  • 财政年份:
    2018
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Continuing Grant
Construction of novel self-oscillating polymer systems utilizing biochemical reaction
利用生化反应构建新型自振荡聚合物系统
  • 批准号:
    17K19148
  • 财政年份:
    2017
  • 资助金额:
    $ 0.54万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了