Multiscale Modeling of Wound Healing

伤口愈合的多尺度建模

基本信息

批准号：
8925080
负责人：
Jason M. Haugh
金额：
$ 47.45万
依托单位：
NORTH CAROLINA STATE UNIVERSITY RALEIGH
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-09-15 至 2018-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8925080
关键词：
1,2-diacylglycerol Actins Actomyosin Address Affect Animals Behavior Biological Blood Platelets Bypass Cell Shape Cells Cellular biology Chemotaxis Chronic Coagulation Process Complex Complication Computer Analysis Cutaneous Cytoskeleton Data Dermal Development Diabetes Mellitus Dictyostelium Diffusion Diglycerides Disease F-Actin Feedback Fibrin Fibroblasts Genetic Geometry Healed Health Healthcare Heterogeneity Hour Human Image Analysis Immune response Invaded Kinetics Knowledge Length Leukocytes Life Link Measurement Mesenchymal Microfilaments Microfluidic Microchips Microfluidics Microscopy Modeling Molds Molecular Molecular Biology Monitor Motion Motor Activity Mus Myosin ATPase Myosin Light Chains Myosin Regulatory Light Chains Myosin Type II Obesity Outcome Pathway interactions Pattern Pharmacological Treatment Phase Phosphorylation Platelet-Derived Growth Factor Platelet-Derived Growth Factor Receptor Positioning Attribute Process Property Public Health Reaction Receptor Mediated Signal Transduction Receptor Protein-Tyrosine Kinases Research Role Signal Pathway Signal Transduction Signal Transduction Pathway Speed Stress Fibers Structure System Time Tissues Trauma United States Wound Healing biophysical model cell behavior cell motility cell type healing in vivo insight intravital imaging migration model development molecular scale multi-scale modeling non-muscle myosin novel strategies novel therapeutic intervention polymerization predictive modeling self assembly self organization simulation spatiotemporal statistics wound

项目摘要

DESCRIPTION (provided by applicant): Chronic wounds are a major threat to public health and the economy and present as a comorbid complication with major diseases in humans. Although the proper healing of cutaneous wounds requires collective and coordinated behaviors of multiple cell types, the rate-determining step is the recruitment and function of dermal fibroblasts, which are directed to invade the wound by a gradient in the concentration of platelet-derived growth factor (PDGF). A great deal is known about the signal transduction pathways activated by PDGF receptors and other receptor tyrosine kinases; yet mechanistic insights about how those pathways are spatially organized to bias the dynamics of the actin cytoskeleton and the directionality of cell migration are still emerging. A still larger fundamental gap lies inthe integration of molecular, supramolecular, cellular, and tissue-level dynamics of wound healing, which span disparate time (seconds to weeks) and spatial (nm to cm) scales. To advance this field, novel approaches are needed to fuse experimental and observational scales that are relatively data-rich (signaling, cytoskeletal dynamics) and data-poor (in vivo dynamics). To that end, we propose to develop a predictive, multiscale model of the proliferative phase of wound healing, incorporating 1) receptor-mediated signal transduction (molecular scale), 2) self-assembly of contractile actomyosin structures (supramolecular scale), 3) morphodynamics and statistics of cell migration (cellular scale), and 4) collective cell behavior in vivo (tissue scal). Our partnership combines expertise in experimental cell biology and biophysical modeling, and model development will be guided by new, quantitative measurements at every scale of biological abstraction.

描述（由申请人提供）：慢性伤口是对公共卫生和经济的主要威胁，并作为人类主要疾病的合并症并发症。尽管皮肤伤口的适当愈合需要多种细胞类型的集体和协调行为，但速率确定的步骤是真皮成纤维细胞的募集和功能，这些募集和功能是指示通过梯度在血小板衍生生长因子（PDGF）浓度中侵入伤口的。关于PDGF受体和其他受体酪氨酸激酶激活的信号转导途径已知很多。然而，关于这些途径如何在空间组织中如何偏向肌动蛋白细胞骨架的动力学和细胞迁移的方向性的机理见解仍在出现。一个更大的基本差距在于分子，超分子，细胞和组织水平的伤口愈合动力学的整合，这些动力学跨度（几秒钟到几周）和空间（NM至CM）尺度。为了促进这一领域，需要采取新颖的方法来融合相对富含数据的（信号，细胞骨架动力学）和数据贫乏（体内动力学）的实验和观察量表。为此，我们提议开发伤口愈合的增殖相的预测性多尺度模型，结合1）受体介导的信号转导（分子尺度），2）收缩肌动菌素结构（超分子尺度）的自组装，3）迁移（蜂窝尺度）的形态动力学和统计（蜂窝尺度）和4）consective contry（4）和4）。我们的合作伙伴关系结合了实验细胞生物学和生物物理建模方面的专业知识，模型开发将以每个生物抽象规模的新定量测量来指导。