Center on Probes for Molecular Mechanotechnology

分子机械技术探针中心

基本信息

  • 批准号:
    10629919
  • 负责人:
  • 金额:
    $ 146.8万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2023
  • 资助国家:
    美国
  • 起止时间:
    2023-08-10 至 2028-07-31
  • 项目状态:
    未结题

项目摘要

Project summary The proposed Center on Probes for Molecular Mechanotechnology (CPMM) will work to develop and optimize technologies to enable the study of mechanobiology and mechanotransduction pathways in living cells. The CPMM includes three highly synergistic Technology Development Projects (TDPs) that will be led by Alexa Mattheyses, Khalid Salaita, and Yonggang Ke who have a strong track record of jointly publishing and working together to developed tension probe technologies. In TDP#1: High resolution probes for mechanobiology, we will create “indestructible” probes that can push the limits of spatial and orientation resolution for the DNA tension probe technology. Tension-PAINT imaging will be refined to achieve realtime 20 nm spatial mapping of forces and to combine this with immunostaining to map the proteins that assemble within proximity to mechanically active receptors. Force orientation will be mapped using fluorescence polarization methods with turn-key commercial microscopes. In TDP#2: Probes for mechanical tagging, we will develop methods of force-induced tagging. The central design feature is a DNA probe that mediates a binding event or dissociation event at threshold levels of force. Cells are tagged based on the magnitude and frequency of mechanical events generated by a cell surface receptors. This TDP will lead to high-throughput analysis of cells using flow cytometry and will also allow for proteomic analysis to open the door to “mechanomics”. Under TDP#3: Amplified force sensors, the central technology here is responsive DNA structures that amplify mechanical inputs. The CPMM has nine associated inaugural Driving Biomedical Projects (DBPs) led by a team of geographically diverse collaborators. DBPs #1-#4 are focused on mechanobiology of T cells and use CPMM tools to test the mechanosensor function of the T cell receptor (TCR) and the adhesion receptor LFA-1. DBP#5 focuses on the heterogeneity in cancer cells. DBP#6 and #7 target the mechanosensor responses of platelets. Finally, DBP#8 and #9 address fundamental questions of the role of mechanics in focal adhesions. Our prototype TDP technologies provide methods to measure molecular forces with the same ease and simplicity as that of immunostaining, flow cytometry, PCR and ELISA. But unlike these mainstream techniques, mechano-imaging, mechano-PCR, mechano-flow, and mechano-ELISA are not commercialized. Hence, the reagents and surface preparation protocols and data analysis routines have to be custom prepared by the end user. This can be challenging to the non-expert and is not routine. Therefore, the CPMM will integrate a strong Community Engagement (CE) component. CE activities will focus on hands-on training workshops, publication of methods articles, virtual seminar series, industry engagement, a strong web presence and engagement with three key mechanobiology conferences that will help accelerate adoption of the tension probe technology. These CE activities will ultimately lead to commercialization which will enable wide spread dissemination across the various cell biology communities.
项目摘要 拟议中的分子机械技术探针中心(CPMM)将致力于开发和优化 这些技术使活细胞中的机械生物学和机械转导途径的研究成为可能。的 CPMM包括三个高度协同的技术开发项目(TDPs),这些项目将由Alexa领导 Mattheyses,Khalid Salaita和Yonggang Ke,他们在联合出版和工作方面有着良好的记录 共同开发了张力探针技术。在TDP#1:机械生物学的高分辨率探针中,我们 将创造出“坚不可摧”的探针,可以突破DNA张力的空间和方向分辨率的极限。 探针技术张力-PAINT成像将得到改进,以实现力的实时20 nm空间映射 并将联合收割机与免疫染色相结合,以绘制在机械上接近组装的蛋白质, 活性受体将使用荧光偏振方法绘制力方向图, 商业显微镜在TDP#2:机械标记的探针中,我们将开发力诱导的方法 标记中心设计特征是DNA探针,其介导结合事件或解离事件, 武力的门槛。根据机械事件的幅度和频率标记细胞 由细胞表面受体产生。该TDP将导致使用流式细胞术进行细胞的高通量分析 并且还将允许蛋白质组学分析打开“机械组学”的大门。在TDP#3下:放大力 传感器,这里的核心技术是放大机械输入的响应性DNA结构。CPMM 有九个相关的创始驱动生物医学项目(DBPs),由一个地理位置不同的团队领导, 合作者DBP#1-#4专注于T细胞的机械生物学,并使用CPMM工具来测试 T细胞受体(TCR)和粘附受体LFA-1的机械传感器功能。DBP#5专注于 癌细胞的异质性。DBP#6和#7靶向血小板的机械传感器响应。最后,DBP#8 和#9解决了焦点粘连中力学作用的基本问题。我们的原型TDP 技术提供了测量分子力的方法,与测量分子力的方法一样容易和简单。 免疫染色、流式细胞术、PCR和ELISA。但与这些主流技术不同的是,机械成像, 机械PCR、机械流和机械ELISA没有商业化。因此,试剂和表面 制备方案和数据分析程序必须由最终用户定制制备。这可以 对非专业人士具有挑战性,并且不是常规。因此,CPMM将整合一个强大的社区 参与(CE)组件。CE活动将侧重于实践培训研讨会, 文章,虚拟研讨会系列,行业参与,强大的网络存在和参与三个关键 机械生物学会议,这将有助于加速采用张力探针技术。这些CE 这些活动最终将导致商业化,从而能够在各种不同的领域广泛传播。 细胞生物学社区

项目成果

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Khalid S Salaita其他文献

Khalid S Salaita的其他文献

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{{ truncateString('Khalid S Salaita', 18)}}的其他基金

Mechano-ID for tagging immune cells
用于标记免疫细胞的 Mechano-ID
  • 批准号:
    10608815
  • 财政年份:
    2022
  • 资助金额:
    $ 146.8万
  • 项目类别:
Rolosense: An innovative platform for automatic mobile phone readout of active SARS-CoV-2 particles (RADx-rad / SEED Administrative Supplement)
Rolosense:用于自动手机读取活性 SARS-CoV-2 颗粒的创新平台(RADx-rad / SEED 行政补充文件)
  • 批准号:
    10648924
  • 财政年份:
    2022
  • 资助金额:
    $ 146.8万
  • 项目类别:
Mechano-ID for tagging immune cells
用于标记免疫细胞的 Mechano-ID
  • 批准号:
    10664365
  • 财政年份:
    2022
  • 资助金额:
    $ 146.8万
  • 项目类别:
Rolosense: An innovative platform for automatic mobile phone readout of active SARS-CoV-2 particles
Rolosense:用于自动手机读取活性 SARS-CoV-2 颗粒的创新平台
  • 批准号:
    10321002
  • 财政年份:
    2020
  • 资助金额:
    $ 146.8万
  • 项目类别:
Rolosense: An innovative platform for automatic mobile phone readout of active SARS-CoV-2 particles
Rolosense:用于自动手机读取活性 SARS-CoV-2 颗粒的创新平台
  • 批准号:
    10264612
  • 财政年份:
    2020
  • 资助金额:
    $ 146.8万
  • 项目类别:
Catalytic Nanotherapies to Treat Lung Disease
治疗肺部疾病的催化纳米疗法
  • 批准号:
    9977246
  • 财政年份:
    2018
  • 资助金额:
    $ 146.8万
  • 项目类别:
Catalytic Nanotherapies to Treat Lung Disease
治疗肺部疾病的催化纳米疗法
  • 批准号:
    10169812
  • 财政年份:
    2018
  • 资助金额:
    $ 146.8万
  • 项目类别:
Catalytic Nanotherapies to Treat Lung Disease
治疗肺部疾病的催化纳米疗法
  • 批准号:
    10227119
  • 财政年份:
    2018
  • 资助金额:
    $ 146.8万
  • 项目类别:
Catalytic Nanotherapies to Treat Lung Disease
治疗肺部疾病的催化纳米疗法
  • 批准号:
    10463234
  • 财政年份:
    2018
  • 资助金额:
    $ 146.8万
  • 项目类别:
Developing a Bioanalytical Toolkit to Study the Mechanobiology of Juxtacrine Signaling
开发生物分析工具包来研究近分泌信号传导的力学生物学
  • 批准号:
    9894683
  • 财政年份:
    2017
  • 资助金额:
    $ 146.8万
  • 项目类别:

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