Collaborative Research: Multiscale Modeling of Solid Tumor Growth
合作研究:实体瘤生长的多尺度建模
基本信息
- 批准号:0818126
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2008
- 资助国家:美国
- 起止时间:2008-09-15 至 2011-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The goal of this project, which lies at the interface between mathematics and biology, is to develop mathematical models of tumor growth that connect intra-tumor molecular and cellular properties with critical tumor behaviors, such as invasiveness, and experimentally observable properties such as morphology. The research group will (1) perform novel analytical and computational studies of important constituent processes, (2) incorporate experimental data into these studies, and (3) develop and apply state-of-the-art numerical algorithms to large-scale computations over multiple time and space scales. By integrating experimental data with sophisticated, multi-scale mathematical and computational models, the potential for breakthroughs that will significantly further the understanding of tumor biology are great, thereby addressing a pressing national and global need.Solid tumors are complex micro-structured materials, where the three-dimensional tissue architecture (morphology) and dynamics are coupled in complex, nonlinear ways to cellular characteristics and to molecular composition and structure of the growth environment. This close connection between the tumor morphology and the underlying cellular/molecular dynamics has fundamental scientific importance in that the cellular dynamics that give rise to various tumor morphologies also control its ability to invade the host tissue. This allows observable properties of the tumor, such as its morphology, to be used to both understand the underlying cellular physiology and predict the tumors invasion potential. In particular, the conjecture that diverse morphologic patterns of invasion observed during tumor growth are the quantitatively predictable result of molecular inhomogeneity (of both composition and structure) in the tumors growth environment will be tested. Because tumor cells use similar or identical migration and proliferation mechanisms as normal cells, and because of the multi-scale nature of these processes, the mathematical modeling, analysis and simulation that will be conducted in this project will also have application in understanding normal functional processes during development, wound-healing, stem cell differentiation and tissue regeneration. This project will also establish a new collaboration among five institutions and broadens the participation of women and minorities in research as trainees in the investigators? groups, thereby addressing national needs. It will provide interdisciplinary training with theoreticians and experimentalists at the interface between mathematics and tumor cell biology. Finally, a month-long summer COSMOS (California State Summer School for Mathematics and Science) course at UC Irvine will be developed for high school students on these topics. This course enhances the participation of gifted high school students in research, and helps to recruit new math and science undergraduates, which addresses another national need.
该项目位于数学和生物学之间的界面,其目标是开发肿瘤生长的数学模型,将肿瘤内的分子和细胞特性与关键的肿瘤行为(如侵袭性)和实验观察到的特性(如形态学)联系起来。 该研究小组将(1)对重要的组成过程进行新的分析和计算研究,(2)将实验数据纳入这些研究,以及(3)开发和应用最先进的数值算法在多个时间和空间尺度上进行大规模计算。 通过将实验数据与复杂的、多尺度的数学和计算模型相结合,将大大促进对肿瘤生物学的理解的突破的潜力是巨大的,从而解决迫切的国家和全球需求。(形态学)和动力学以复杂的、非线性的方式与细胞特征以及生长环境的分子组成和结构耦合。 肿瘤形态和潜在的细胞/分子动力学之间的这种密切联系具有基本的科学重要性,因为产生各种肿瘤形态的细胞动力学也控制其侵入宿主组织的能力。 这允许肿瘤的可观察特性,例如其形态,用于理解潜在的细胞生理学和预测肿瘤侵袭潜力。特别是,将测试在肿瘤生长期间观察到的多种形态学侵袭模式是肿瘤生长环境中分子不均匀性(组成和结构)的定量可预测结果的推测。 由于肿瘤细胞使用与正常细胞相似或相同的迁移和增殖机制,并且由于这些过程的多尺度性质,因此将在该项目中进行的数学建模,分析和模拟也将应用于理解发育,伤口愈合,干细胞分化和组织再生期间的正常功能过程。 该项目还将在五个机构之间建立新的合作关系,并扩大妇女和少数民族作为调查员的受训人员参与研究。以满足国家需求。它将在数学和肿瘤细胞生物学之间的界面上提供理论家和实验家的跨学科培训。最后,一个为期一个月的夏季COSMOS(加州国家数学和科学暑期学校)在加州大学欧文分校课程将开发高中学生对这些主题。这门课程提高了天才高中生在研究中的参与,并有助于招募新的数学和科学本科生,这解决了另一个国家的需要。
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)
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John Lowengrub其他文献
PIEZO1 regulates leader cell formation and cellular coordination during collective cell migration: An integrative multiscale modeling and experimental study
- DOI:
10.1016/j.bpj.2022.11.1520 - 发表时间:
2023-02-10 - 期刊:
- 影响因子:
- 作者:
Jesse Holt;Jinghao Chen;Elizabeth Evans;John Lowengrub;Medha M. Pathak - 通讯作者:
Medha M. Pathak
Mathematical modeling of cancer immunotherapy for personalized clinical translation
用于个性化临床转化的癌症免疫治疗的数学建模
- DOI:
10.1038/s43588-022-00377-z - 发表时间:
2022-12-19 - 期刊:
- 影响因子:18.300
- 作者:
Joseph D. Butner;Prashant Dogra;Caroline Chung;Renata Pasqualini;Wadih Arap;John Lowengrub;Vittorio Cristini;Zhihui Wang - 通讯作者:
Zhihui Wang
Self-similar evolution of a precipitate in inhomogeneous elastic media
- DOI:
10.1016/j.jcrysgro.2012.04.020 - 发表时间:
2012-07-15 - 期刊:
- 影响因子:
- 作者:
Amlan Barua;Shuwang Li;Xiaofan Li;John Lowengrub - 通讯作者:
John Lowengrub
John Lowengrub的其他文献
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{{ truncateString('John Lowengrub', 18)}}的其他基金
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协作研究:一种新的多尺度方法及其在肿瘤生长建模中的应用
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