Collaborative Research: Multiscale Modeling of Solid Tumor
合作研究:实体瘤的多尺度建模
基本信息
- 批准号:0817891
- 负责人:
- 金额:$ 4.5万
- 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.
该项目的目的是数学与生物学之间的界面,是开发肿瘤生长的数学模型,这些模型将肿瘤内分子和细胞特性与关键肿瘤行为(例如侵入性)以及实验性观察到的特性(如形态学)联系起来。研究小组(1)将对重要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,(3)在多个时间和空间量表上开发和应用最新的数值算法。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,突破的潜力将大大进一步了解肿瘤生物学的理解非常好,从而满足了迫切的国家和全球需求。实体瘤是复杂的微观结构材料,其中三维组织结构(形态)和动力学以复杂的非线性方式耦合,用于细胞特征以及生长环境的分子组成和结构。肿瘤形态与潜在的细胞/分子动力学之间的这种紧密联系具有基本的科学重要性,因为引起各种肿瘤形态的细胞动力学也控制了其侵入宿主组织的能力。这允许可观察到的肿瘤的特性,例如其形态,可用于了解潜在的细胞生理学并预测肿瘤侵袭潜力。特别是,将测试猜想在肿瘤生长过程中观察到的侵袭的多种形态学模式是在肿瘤生长环境中分子不均匀(组成和结构)的定量预测结果。由于肿瘤细胞使用类似或相同的迁移和增殖机制与正常细胞一样,并且由于这些过程的多尺度性质,因此该项目将在该项目中进行的数学建模,分析和仿真也将在理解正常功能过程中在发育过程中的正常功能过程中应用。该项目还将在五个机构之间建立新的合作,并扩大妇女和少数群体作为研究人员的学员的参与?小组,从而满足国家需求。它将在数学和肿瘤细胞生物学之间的界面与理论家和实验者提供跨学科培训。最后,将为这些主题的高中生开发一个为期一个月的夏季宇宙(加利福尼亚州立大学数学和科学暑期学校)课程。本课程增强了有天赋的高中生研究的参与,并有助于招募新的数学和科学本科生,从而满足了另一种国家需求。
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 }}
Yannis Kevrekidis其他文献
Data-driven cold starting of good reservoirs
- DOI:
10.1016/j.physd.2024.134325 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:
- 作者:
Lyudmila Grigoryeva;Boumediene Hamzi;Felix P. Kemeth;Yannis Kevrekidis;G. Manjunath;Juan-Pablo Ortega;Matthys J. Steynberg - 通讯作者:
Matthys J. Steynberg
Yannis Kevrekidis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('Yannis Kevrekidis', 18)}}的其他基金
Collaborative Research: CPS: Medium: Data Driven Modeling and Analysis of Energy Conversion Systems -- Manifold Learning and Approximation
合作研究:CPS:媒介:能量转换系统的数据驱动建模和分析——流形学习和逼近
- 批准号:
2223987 - 财政年份:2023
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
EAGER-DynamicData: Collaborative Research: Data-driven morphing of parsimonious models for the description of transient dynamics in complex systems
EAGER-DynamicData:协作研究:数据驱动的简约模型变形,用于描述复杂系统中的瞬态动力学
- 批准号:
1462241 - 财政年份:2015
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
UNS: Collaborative Research: Unique binding geometries: Engineering & Modeling of Sticky Patches on Lipid Nanoparticles for Effective Targeting of Otherwise Untargetable cells
UNS:合作研究:独特的结合几何形状:工程
- 批准号:
1510149 - 财政年份:2015
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
Collaborative Research: A Distributed Approximate Dynamic Programming Approach for Robust Adaptive Control of Multiscale Dynamical Systems
协作研究:多尺度动力系统鲁棒自适应控制的分布式近似动态规划方法
- 批准号:
1406224 - 财政年份:2014
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
CDS&E: Collaborative Research: Data-Driven Predictive Modeling of Flows Containing Aggregating Particles
CDS
- 批准号:
1404832 - 财政年份:2014
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
CDS&E/Collaborative Research: The Integration of Data-Mining with Multiscale Engineering Computations
CDS
- 批准号:
1310173 - 财政年份:2013
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
EAGER/Collaborative Research: Accelerating Innovation in Agent-Based Simulations: Application to Complex Socio-Behavioral Phenomena
EAGER/协作研究:加速基于代理的模拟创新:在复杂社会行为现象中的应用
- 批准号:
1002469 - 财政年份:2010
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
Collaborative Research-Smoluchowski Equations: Analysis of Dynamics, Singularities and Statistics in Complex Fluid-Particle Mixtures.
协作研究-Smoluchowski 方程:复杂流体-粒子混合物中的动力学、奇异性和统计分析。
- 批准号:
0504099 - 财政年份:2005
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
Collaborative Research:ITR/AP: Enabling Microscopic Simulators to Perform System-Level Analysis
合作研究:ITR/AP:使微观模拟器能够执行系统级分析
- 批准号:
0205484 - 财政年份:2002
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
Evolution PDEs in Inhomogeneous Media: Low-Dimensional Dynamics, Computation and Applications
非均匀介质中的演化偏微分方程:低维动力学、计算和应用
- 批准号:
9711224 - 财政年份:1997
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
相似国自然基金
温度作用下CA砂浆非线性老化蠕变性能的多尺度研究
- 批准号:12302265
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
全固态锂电池硫化物固体电解质的合成、调控及多尺度中子散射研究
- 批准号:12375301
- 批准年份:2023
- 资助金额:53 万元
- 项目类别:面上项目
蓝斑-内嗅皮质-海马神经环路在阿尔茨海默病早期进程中的改变及其机制的多模态多尺度研究
- 批准号:32371197
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
肿瘤微环境-伤害性感觉神经多尺度串扰调控肿瘤免疫逃逸的机制及应用研究
- 批准号:82372862
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
针对人工表面等离激元器件多尺度电磁隐身问题的高效DGTD-HDGTD混合时域算法的研究
- 批准号:62301133
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
相似海外基金
Collaborative Research: Multiscale study of oscillating flow and multiphase heat transfer in porous media
合作研究:多孔介质中振荡流和多相传热的多尺度研究
- 批准号:
2414527 - 财政年份:2024
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
Collaborative Research: Multiscale Analysis and Simulation of Biofilm Mechanics
合作研究:生物膜力学的多尺度分析与模拟
- 批准号:
2313746 - 财政年份:2023
- 资助金额:
$ 4.5万 - 项目类别:
Continuing Grant
Collaborative Research: Understanding Acoustoplasticity through Multiscale Computational and In-Situ, Time-Resolved Experimental Approach
合作研究:通过多尺度计算和原位时间分辨实验方法了解声塑性
- 批准号:
2148678 - 财政年份:2023
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
Collaborative Research: GEO OSE Track 2: Building a multiscale community-led ecosystem for crustal geology through the integration of Macrostrat and StraboSpot
合作研究:GEO OSE 第 2 轨道:通过 Macrostrat 和 StraboSpot 的集成构建多尺度社区主导的地壳地质生态系统
- 批准号:
2324580 - 财政年份:2023
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant
Collaborative Research: Understanding Acoustoplasticity through Multiscale Computational and In-Situ, Time-Resolved Experimental Approach
合作研究:通过多尺度计算和原位时间分辨实验方法了解声塑性
- 批准号:
2148646 - 财政年份:2023
- 资助金额:
$ 4.5万 - 项目类别:
Standard Grant