Modeling based design of chimeric antigen receptors for Natural Killer cell-based immunotherapy

用于基于自然杀伤细胞的免疫治疗的嵌合抗原受体的基于建模的设计

基本信息

项目摘要

PROJECT SUMMARY/ABSTRACT Natural killer (NK) cells are innate immune effector cells that play an immediate role in host defense. The activation of NK cells is mediated by receptor-ligand interactions and downstream intracellular signaling path- ways. One type of immunotherapy that has achieved great success in recent years is based on chimeric antigen receptors (CARs). These are engineered receptors composed of both target recognition and cell activation func- tions that can direct immune cells to mediate killing of cancer cells. Although T cells are the predominant immune cell type used for CAR-based immunotherapy, NK cells provide significant advantages over CAR-engineered T cells because they can be derived from non-autologous sources. However, most studies testing CAR-NK cells have used CAR constructs based on T cell signaling pathways that are not optimized for NK cell signaling. In addition, the development of CAR constructs is largely achieved using a trial-and-error experimental approach, and there is no systematic understanding of how altering the CAR signaling domains influences cell activation. The main objective of this proposal is to identify effective NK based-CAR designs using systems biology tools. Our approach combines computational modeling and quantitative phospho-proteomics to generate a de- tailed understanding of CAR-mediated NK cell signaling and cytotoxicity. The outcome of our work will be a set of validated NK CARs that target and kill BCMA-positive multiple myeloma (MM) cancer cells. We will also test the optimized CARs against CS1-expressing MM cells. The approach builds on our team’s extensive experience in modeling and characterizing cell signaling and studying NK cell biology. Guided by strong preliminary data, we propose to pursue three Specific Aims: (1) Characterize intracellular and cellular-level responses of CAR- expressing NK cells; (2) Develop computational models to predict the dynamic responses of CAR-expressing NK cells; (3) Identify novel CAR constructs that effectively activate NK cells. Collectively, our proposed research will generate a quantitative understanding of how CAR signaling encodes NK cell-mediated cytotoxicity and how NK-CAR constructs can be optimized for cancer immunotherapy. Our research will broadly impact the field of cancer immunotherapy by providing insight into how intracellular NK cell signaling and CAR structure influence NK cell activation. Ultimately, this research will expand our knowledge of NK cell signaling and the design criteria for NK-CAR-based immunotherapy for other tumor types and cancer antigens. Our work has the potential to unlock the transformative power of NK-CAR cells for cancer immuno- therapy.
项目总结/摘要 自然杀伤(NK)细胞是在宿主防御中发挥直接作用的先天免疫效应细胞。的 NK细胞的活化由受体-配体相互作用和下游细胞内信号传导途径介导, 的方式近年来取得巨大成功的一种免疫疗法是基于嵌合抗原 受体(汽车)。这些是由靶识别和细胞激活功能组成的工程受体, 它可以引导免疫细胞介导杀死癌细胞。虽然T细胞是主要的免疫细胞, 用于基于CAR的免疫治疗的细胞类型,NK细胞比CAR工程化T细胞具有显着优势 细胞,因为它们可以来自非自体来源。然而,大多数测试CAR-NK细胞的研究 已经使用了基于未针对NK细胞信号传导优化的T细胞信号传导途径的CAR构建体。在 此外,CAR构建体的开发主要是使用试错实验方法实现的, 并且对于改变CAR信号结构域如何影响细胞活化没有系统的理解。 该提案的主要目标是使用系统生物学来识别有效的基于NK的CAR设计 工具.我们的方法结合了计算建模和定量磷酸化蛋白质组学,以产生一个去磷酸化的蛋白质组学。 CAR介导的NK细胞信号传导和细胞毒性的尾式理解。我们的工作成果将是一套 经验证的NK汽车靶向并杀死BCMA阳性多发性骨髓瘤(MM)癌细胞。我们还将测试 针对表达CS 1的MM细胞的优化的汽车。该方法建立在我们团队丰富的经验基础上 细胞信号的建模和表征以及NK细胞生物学的研究。在强有力的初步数据的指导下, 我们提出了三个具体的目标:(1)表征CAR的细胞内和细胞水平的反应, (2)开发计算模型以预测CAR表达的动态响应; (3)鉴定有效激活NK细胞的新型CAR构建体。 总的来说,我们提出的研究将产生对CAR信号如何编码的定量理解。 NK细胞介导的细胞毒性以及NK-CAR构建体如何优化用于癌症免疫治疗。我们 这项研究将通过深入了解细胞内NK细胞是如何 信号传导和CAR结构影响NK细胞活化。最终,这项研究将扩大我们对 NK细胞信号传导和其他肿瘤类型和癌症的基于NK-CAR的免疫疗法的设计标准 抗原我们的工作有可能释放NK-CAR细胞对癌症免疫的变革力量。 疗法

项目成果

期刊论文数量(3)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Information-Theoretic Analysis of a Model of CAR-4-1BB-Mediated NFκB Activation.
{{ 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 }}

Stacey Deleria Finley其他文献

Stacey Deleria Finley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('Stacey Deleria Finley', 18)}}的其他基金

Modeling based design of chimeric antigen receptors for Natural Killer cell-based immunotherapy
用于基于自然杀伤细胞的免疫治疗的嵌合抗原受体的基于建模的设计
  • 批准号:
    10557760
  • 财政年份:
    2022
  • 资助金额:
    $ 51.38万
  • 项目类别:
Multiscale systems biology modeling to exploit tumor-stromal metabolic crosstalk in colorectal cancer
多尺度系统生物学模型利用结直肠癌中的肿瘤间质代谢串扰
  • 批准号:
    10251884
  • 财政年份:
    2018
  • 资助金额:
    $ 51.38万
  • 项目类别:
Predictive model of pro- and anti-angiogenic factors involved in breast cancer
乳腺癌中促血管生成因子和抗血管生成因子的预测模型
  • 批准号:
    8165999
  • 财政年份:
    2010
  • 资助金额:
    $ 51.38万
  • 项目类别:
Predictive model of pro- and anti-angiogenic factors involved in breast cancer
乳腺癌中促血管生成因子和抗血管生成因子的预测模型
  • 批准号:
    8305964
  • 财政年份:
    2010
  • 资助金额:
    $ 51.38万
  • 项目类别:
Predictive model of pro- and anti-angiogenic factors involved in breast cancer
乳腺癌中促血管生成因子和抗血管生成因子的预测模型
  • 批准号:
    8000324
  • 财政年份:
    2010
  • 资助金额:
    $ 51.38万
  • 项目类别:

相似国自然基金

Neo-antigens暴露对肾移植术后体液性排斥反应的影响及其机制研究
  • 批准号:
    2022J011295
  • 批准年份:
    2022
  • 资助金额:
    10.0 万元
  • 项目类别:
    省市级项目
结核分枝杆菌持续感染期抗原(latency antigens)的重组BCG疫苗研究
  • 批准号:
    30801055
  • 批准年份:
    2008
  • 资助金额:
    19.0 万元
  • 项目类别:
    青年科学基金项目

相似海外基金

Bovine herpesvirus 4 as a vaccine platform for African swine fever virus antigens in pigs
牛疱疹病毒 4 作为猪非洲猪瘟病毒抗原的疫苗平台
  • 批准号:
    BB/Y006224/1
  • 财政年份:
    2024
  • 资助金额:
    $ 51.38万
  • 项目类别:
    Research Grant
Uncovering tumor specific antigens and vulnerabilities in ETP-acute lymphoblastic leukemia
揭示 ETP-急性淋巴细胞白血病的肿瘤特异性抗原和脆弱性
  • 批准号:
    480030
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
    Operating Grants
A novel vaccine approach combining mosquito salivary antigens and viral antigens to protect against Zika, chikungunya and other arboviral infections.
一种结合蚊子唾液抗原和病毒抗原的新型疫苗方法,可预防寨卡病毒、基孔肯雅热和其他虫媒病毒感染。
  • 批准号:
    10083718
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
    Small Business Research Initiative
Regulation of B cell responses to vaccines by long-term retention of antigens in germinal centres
通过在生发中心长期保留抗原来调节 B 细胞对疫苗的反应
  • 批准号:
    MR/X009254/1
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
    Research Grant
Adaptive Discrimination of Risk of Antigens in Immune Memory Dynamics
免疫记忆动态中抗原风险的适应性辨别
  • 批准号:
    22KJ1758
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
    Grant-in-Aid for JSPS Fellows
22-ICRAD Call 2 - Improving the diagnosis of tuberculosis in domestic ruminants through the use of new antigens and test platforms
22-ICRAD 呼吁 2 - 通过使用新抗原和测试平台改善家养反刍动物结核病的诊断
  • 批准号:
    BB/Y000927/1
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
    Research Grant
Protective immunity elicited by distinct polysaccharide antigens of classical and hypervirulent Klebsiella
经典和高毒力克雷伯氏菌的不同多糖抗原引发的保护性免疫
  • 批准号:
    10795212
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
Integrative proteome analysis to harness humoral immune response against tumor antigens
综合蛋白质组分析利用针对肿瘤抗原的体液免疫反应
  • 批准号:
    23K18249
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
    Grant-in-Aid for Challenging Research (Exploratory)
Functionally distinct human CD4 T cell responses to novel evolutionarily selected M. tuberculosis antigens
功能独特的人类 CD4 T 细胞对新型进化选择的结核分枝杆菌抗原的反应
  • 批准号:
    10735075
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
Targeting T3SA proteins as protective antigens against Yersinia
将 T3SA 蛋白作为针对耶尔森氏菌的保护性抗原
  • 批准号:
    10645989
  • 财政年份:
    2023
  • 资助金额:
    $ 51.38万
  • 项目类别:
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了