3D Whole-Pancreas Analysis of Mouse Models of Pancreatic Cancer

胰腺癌小鼠模型的 3D 全胰腺分析

基本信息

  • 批准号:
    10830513
  • 负责人:
  • 金额:
    $ 8.19万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2021
  • 资助国家:
    美国
  • 起止时间:
    2021-12-01 至 2026-11-30
  • 项目状态:
    未结题

项目摘要

Project Summary This application is being submitted in response to the Notice of Special Interest (NOSI) identified as NOT-CA- 23-045 and is a collaboration between the Cellular Cancer Biology Imaging Research (CCBIR) Program and the Pancreatic Ductal Adenocarcinoma Stroma Reprogramming Consortium (PSRC). Pancreatic cancer is a deadly disease with a dismal prognosis but arises from precancerous lesions that lack the ability to spread beyond the pancreas, underscoring the opportunity for cancer interception in this disease. Genetically engineered mouse models provide a key opportunity to study premalignant pancreatic tumorigenesis over time to provide a rational foundation for such interception approaches, as serial tissue samples from these time points are not available from human patients. However, tools to quantify precancer burden in mice at the single-cell level through the whole pancreas are currently lacking; such tools would greatly improve the rigor of evaluation of these models. As such, we will leverage our recently developed deep learning tool CODA for 3D reconstruction and cellular quantification, which is undergoing expanded application and validation as part of the CCBIR Program. Using CODA, we will analyze whole pancreata from the inducible KRAS (iKRAS) mouse model, which allows assessment of epithelial-microenvironment cross talk at multiple time points in early tumorigenesis, a key goal of the PSRC. This collaboration between the CCBIR Program and the PSRC will apply novel cancer imaging technologies to innovative mouse models of pancreatic cancer, providing important insights into the cellular alterations in early pancreatic tumorigenesis. These studies will also provide additional validation of the CODA pipeline and poise this approach for application more broadly across mouse models of cancer.
项目总结

项目成果

期刊论文数量(12)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Collective cell migration is spatiotemporally regulated during mammary epithelial bifurcation
乳腺上皮分叉期间集体细胞迁移受到时空调节
  • DOI:
    10.1242/jcs.259275
  • 发表时间:
    2023
  • 期刊:
  • 影响因子:
    4
  • 作者:
    Neumann, Neil M.;Kim, Daniel M.;Huebner, Robert J.;Ewald, Andrew J.
  • 通讯作者:
    Ewald, Andrew J.
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Denis Wirtz其他文献

Denis Wirtz的其他文献

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{{ truncateString('Denis Wirtz', 18)}}的其他基金

Organ Specific Project
器官特定项目
  • 批准号:
    10531004
  • 财政年份:
    2022
  • 资助金额:
    $ 8.19万
  • 项目类别:
Organ Specific Project
器官特定项目
  • 批准号:
    10708880
  • 财政年份:
    2022
  • 资助金额:
    $ 8.19万
  • 项目类别:
Tech Core 2
技术核心2
  • 批准号:
    10532385
  • 财政年份:
    2021
  • 资助金额:
    $ 8.19万
  • 项目类别:
Center for 3D Imaging in Cancer Cell Biology
癌细胞生物学 3D 成像中心
  • 批准号:
    10375190
  • 财政年份:
    2021
  • 资助金额:
    $ 8.19万
  • 项目类别:
Tech Core 2
技术核心2
  • 批准号:
    10375193
  • 财政年份:
    2021
  • 资助金额:
    $ 8.19万
  • 项目类别:
Center for 3D Imaging in Cancer Cell Biology
癌细胞生物学 3D 成像中心
  • 批准号:
    10532378
  • 财政年份:
    2021
  • 资助金额:
    $ 8.19万
  • 项目类别:
Center for 3D Imaging in Cancer Cell Biology
癌细胞生物学 3D 成像中心
  • 批准号:
    10375191
  • 财政年份:
    2021
  • 资助金额:
    $ 8.19万
  • 项目类别:
Center for 3D Imaging in Cancer Cell Biology
癌细胞生物学 3D 成像中心
  • 批准号:
    10532377
  • 财政年份:
    2021
  • 资助金额:
    $ 8.19万
  • 项目类别:
Validation of Nuclear Morphology as a Biomarker of Aging and Aging-Related Phenotypes
核形态作为衰老和衰老相关表型生物标志物的验证
  • 批准号:
    10424439
  • 财政年份:
    2018
  • 资助金额:
    $ 8.19万
  • 项目类别:
Validation of Nuclear Morphology as a Biomarker of Aging and Aging-Related Phenotypes
核形态作为衰老和衰老相关表型生物标志物的验证
  • 批准号:
    10199917
  • 财政年份:
    2018
  • 资助金额:
    $ 8.19万
  • 项目类别:

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确定血统对口咽癌生物学和治疗反应的影响。
  • 批准号:
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    10712290
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埃默里大学癌症生物学培训研究生课程
  • 批准号:
    10768333
  • 财政年份:
    2023
  • 资助金额:
    $ 8.19万
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癌症生物学综合培训计划
  • 批准号:
    10714789
  • 财政年份:
    2023
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    $ 8.19万
  • 项目类别:
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癌症生物学研究中心
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    10628878
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多色 PET 探索癌症生物学
  • 批准号:
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  • 财政年份:
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  • 资助金额:
    $ 8.19万
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利用多组学促进癌症生物学研究
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    10733768
  • 财政年份:
    2023
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癌症生物学会议的系统方法
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    10467608
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    2022
  • 资助金额:
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Role of the candidate protein methyltransferase METTL18 in cancer biology
候选蛋白甲基转移酶 METTL18 在癌症生物学中的作用
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    10573149
  • 财政年份:
    2022
  • 资助金额:
    $ 8.19万
  • 项目类别:
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