Project 1 Mouse Models Analysis
项目1 小鼠模型分析
基本信息
- 批准号:10729466
- 负责人:
- 金额:$ 56.36万
- 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:2023-09-19 至 2028-08-31
- 项目状态:未结题
- 来源:
- 关键词:Adaptive Immune SystemAlgorithmsAnatomyArchitectureAtypical lymphocyteAutomobile DrivingBackBiological MarkersBlocking AntibodiesCell CommunicationCellsChronologyClustered Regularly Interspaced Short Palindromic RepeatsCollaborationsComputing MethodologiesCytometryDataDevelopmentDiagnosisDiseaseDisease ProgressionDistalDistantDistant MetastasisEducationFlow CytometryGene Expression ProfileGenesGenetic TranscriptionHead and Neck CancerHumanImageImmuneImmune EvasionImmune ToleranceKineticsKnockout MiceLabelLeukocyte TraffickingLeukocytesLymph Node InvolvementLymphaticMalignant NeoplasmsMediatingMetastatic Neoplasm to Lymph NodesModelingMusNatureNeighborhoodsNeoplasm MetastasisNodalNon-Small-Cell Lung CarcinomaPatientsPopulationPredispositionPreventionPrimary NeoplasmProcessPropertyRegulatory T-LymphocyteRoleSiteSolidStromal CellsStudy modelsSystems BiologyTissuesTumor BiologyTumor PromotionTumor-infiltrating immune cellscancer cellconditioningcytokinedata integrationhigh dimensionalityimaging platformimplantationlymph nodesmarkov modelmigrationmouse modelneoplastic cellnew therapeutic targetnovelpreventprogramssingle-cell RNA sequencingtherapy designtraffickingtranscriptomicstumor
项目摘要
SUMMARY/ABSTRACT: PROJECT 1
Lymph node (LN) metastasis precedes further dissemination for most solid malignancies and confers a stage III
diagnosis. Nonetheless, the mechanistic role of LN metastasis in further disease progression is poorly
understood. We discovered in mice that in colonizing LNs, tumor cells activate transcriptional programs that
enable their induction of tumor-specific immune tolerance through interactions with LN leukocytes. These
leukocytes subsequently recirculate throughout the host, resulting in systemic immune tolerance facilitating
metastatic seeding of distant sites. Importantly, we found the same conserved transcriptional signature in LN
metastases in humans, suggesting that the mechanisms driving LN metastasis and immune tolerance in our
mouse model are pertinent to human cancers. We hypothesize that local interactions between tumor cells,
leukocytes, and stroma within LNs before, during, and following LN colonization alter distant tissues to promote
disease progression. We expect these interactions to involve homotypic and heterotypic cell-cell interactions,
orchestration of architectural changes within LNs, tumors, and distant sites, and trafficking of various populations
throughout the host. We will use syngeneic mouse models to identify the mechanisms by which these interactions
facilitate disease progression through the following approaches. 1: Determine the kinetics by which tumors
generate systemic immune tolerance. Using a high-dimensional imaging platform (CODEX), we will uncover
longitudinal changes in local microenvironments across the host. 2: Interrogate the nature of heterotypic cell-cell
interactions within LNs and the mechanisms by which these interactions facilitate immune evasion and induction
of immune tolerance. We will use scRNA-seq to identify transcriptional changes in immune and stromal
populations interacting with malignant cells within LNs. Using spatial transcriptomics, we will determine how the
gene expression patterns of cells interacting with malignant cells differ from those at a distance. To confirm the
functional significance of these targets identified and those identified in Project 2, we will combine CRISPR-
mediated gene editing of LN metastatic tumors, along with cell depletion studies and knockout mice or inducible
mouse models. 3: Determine how trafficking of immune cells from tumor-involved LNs establish a pro-metastatic
microenvironment at distant sites. We will employ a novel cell labeling platform to evaluate trafficking of
leukocytes and stromal cells from tumor-involved LNs to distant sites and back to the primary tumor. These
studies will reveal the mechanisms whereby LN metastases promote tumor spread to distant sites and identify
novel targets for the prevention and treatment of metastatic disease.
总结/摘要:项目1
对于大多数实体恶性肿瘤,淋巴结(LN)转移先于进一步扩散,并导致III期
诊断.尽管如此,LN转移在进一步疾病进展中的机制作用很差,
明白我们在小鼠中发现,在定植淋巴结时,肿瘤细胞激活转录程序,
使其能够通过与LN白细胞的相互作用诱导肿瘤特异性免疫耐受。这些
白细胞随后在整个宿主中再循环,导致全身性免疫耐受,
远处部位的转移性种植。重要的是,我们在LN中发现了相同的保守转录特征,
转移,这表明我们的LN转移和免疫耐受的驱动机制
小鼠模型与人类癌症有关。我们假设肿瘤细胞之间的局部相互作用,
LN定植前、定植中和定植后LN内的白细胞和基质改变远处组织,
疾病进展。我们预计这些相互作用涉及同型和异型细胞-细胞相互作用,
协调LN、肿瘤和远端部位内的结构变化,以及各种人群的运输
整个主机。我们将使用同系小鼠模型来确定这些相互作用的机制,
通过以下方法促进疾病进展。1:确定肿瘤发生的动力学
产生系统性免疫耐受。使用高维成像平台(CODEX),我们将揭示
整个宿主局部微环境的纵向变化。第二章:质疑异型细胞-细胞的本质
LN内的相互作用以及这些相互作用促进免疫逃避和诱导的机制
免疫耐受性。我们将使用scRNA-seq来鉴定免疫和基质细胞中的转录变化,
与淋巴结内的恶性细胞相互作用的群体。使用空间转录组学,我们将确定
与恶性细胞相互作用的细胞的基因表达模式与远处的细胞不同。确认
这些目标和项目2中确定的目标的功能意义,我们将结合联合收割机CRISPR-
LN转移性肿瘤的介导的基因编辑,沿着细胞耗竭研究和敲除小鼠或诱导型
小鼠模型。3:确定来自肿瘤涉及的LN的免疫细胞的运输如何建立促转移性淋巴结转移。
微环境在遥远的地方我们将采用一种新的细胞标记平台来评估细胞的贩运。
白细胞和基质细胞从涉及肿瘤的淋巴结转移到远处并返回原发肿瘤。这些
研究将揭示LN转移促进肿瘤向远处扩散的机制,
用于预防和治疗转移性疾病的新靶点。
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 }}
EDGAR G. ENGLEMAN其他文献
EDGAR G. ENGLEMAN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('EDGAR G. ENGLEMAN', 18)}}的其他基金
Systems Biology of Tumor-Immune-Stromal Interactions in Metastatic Progression
转移进展中肿瘤-免疫-基质相互作用的系统生物学
- 批准号:
10729464 - 财政年份:2023
- 资助金额:
$ 56.36万 - 项目类别:
Targeting Lymph Node Dependent Immune Tolerance in Cancer
针对癌症中的淋巴结依赖性免疫耐受
- 批准号:
10210557 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Project 3: Impact of tumor genetics on PDAC immunobiology and responses to macrophage-targeted immunotherapy
项目 3:肿瘤遗传学对 PDAC 免疫生物学的影响以及对巨噬细胞靶向免疫治疗的反应
- 批准号:
10704089 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Innate Immune Mechanisms Contributing to Cancer Growth in Obesity
肥胖导致癌症生长的先天免疫机制
- 批准号:
10654802 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Innate Immune Mechanisms Contributing to Cancer Growth in Obesity
肥胖导致癌症生长的先天免疫机制
- 批准号:
10430268 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Innate Immune Mechanisms Contributing to Cancer Growth in Obesity
肥胖导致癌症生长的先天免疫机制
- 批准号:
10278250 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Project 3: Impact of tumor genetics on PDAC immunobiology and responses to macrophage-targeted immunotherapy
项目 3:肿瘤遗传学对 PDAC 免疫生物学的影响以及巨噬细胞靶向免疫治疗的反应
- 批准号:
10456771 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Innate Immune Mechanisms Contributing to Cancer Growth in Obesity
肥胖导致癌症生长的先天免疫机制
- 批准号:
10706825 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Project 3: Impact of tumor genetics on PDAC immunobiology and responses to macrophage-targeted immunotherapy
项目 3:肿瘤遗传学对 PDAC 免疫生物学的影响以及对巨噬细胞靶向免疫治疗的反应
- 批准号:
10187127 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
Targeting Lymph Node Dependent Immune Tolerance in Cancer
针对癌症中的淋巴结依赖性免疫耐受
- 批准号:
10366092 - 财政年份:2021
- 资助金额:
$ 56.36万 - 项目类别:
相似海外基金
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:
$ 56.36万 - 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:
$ 56.36万 - 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:
$ 56.36万 - 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:
$ 56.36万 - 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:
$ 56.36万 - 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:
$ 56.36万 - 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:
$ 56.36万 - 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:
$ 56.36万 - 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:
$ 56.36万 - 项目类别:
Continuing Grant
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:
$ 56.36万 - 项目类别:
Research Grant














{{item.name}}会员




