Stochastic Modeling of Multi Type Cell Systems

多类型细胞系统的随机建模

• 批准号: 7426898
• 负责人: Ollivier Hyrien
• 金额: $ 33.69万
• 依托单位: UNIVERSITY OF ROCHESTER
• 依托单位国家: 美国
• 财政年份: 2001
• 资助国家: 美国
• 起止时间: 2001-07-01 至 2012-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7426898
• 关键词: Affect; Age; Area; Behavioral; Biological; Birth; Cations; Cell Differentiation process; Cells; Complex; Computational algorithm; Condition; Data; Data Analyses; Development; Embryo; Embryonic Development; Estimation Techniques; Generations; Grant; Hypothyroidism; In Vitro; Iron; Knowledge; Length; Localized; Methods; Mitotic; Modeling; Molecular; Oligodendroglia; Outcome; Paper; Pattern; Phase; Population; Positioning Attribute; Probability; Procedures; Process; Range; Rate; Rattus; Reporting; Research; Solid; Solutions; Spinal Cord; Statistical Methods; Stem cells; Supplementation; System; Techniques; Testing; Therapeutic; Time; Work; cell type; deprivation; design; gliogenesis; in vitro Model; in vivo; model design; oligodendrocyte precursor; postnatal; precursor cell; research study; simulation; tissue culture; tool; user friendly software

DESCRIPTION (provided by applicant): The most significant outcome of our studies conducted under the auspices of NIH/NINDS Grant RO1 NS39511 is a stochastic model of in vitro development of oligodendrocytes, which has been tested against several sets of experimental data. New estimation techniques built on this model allow analysis of the underlying processes in terms of biologically meaningful parameters. These results provide a solid groundwork for designing inferential procedures that are very much needed to analyze relevant in vivo studies. The general objective of the proposed research is to evolve such procedures with a special focus on embryonic development of the spinal cord. The major challenge here is that the dynamics of oligodendrocyte precursors in the developing spinal cord are highly non-stationary. A combination of analytical and simulation techniques is proposed as a constructive solution to this problem. Our recent analytical results make the problem approachable. The proposed stochastic model is sufficiently flexible to describe the complex patterns of cell dynamics in the experimental system under study. Biological experiments will be specially designed to fully utilize the power of the proposed modeling techniques and computational algorithms. This approach will provide a detailed understanding of cell development in the normal spinal cord, and in the pathological condition of iron deficiency.

描述（由申请人提供）：根据NIH/NINDS授予RO1 NS39511的主持，我们进行的研究的最重要结果是一种随机发展的少突胶质细胞的随机模型，已针对几套实验数据进行了测试。基于此模型的新估计技术允许根据生物学上有意义的参数对基础过程进行分析。这些结果为设计推论程序提供了坚实的基础，这些程序非常需要分析体内研究中相关的相关性。拟议的研究的一般目标是进化此类程序，特别关注脊髓的胚胎发育。这里的主要挑战是，发育中的脊髓中少突胶质细胞前体的动力学是高度非平稳的。提出了分析技术和仿真技术的组合，作为解决此问题的建设性解决方案。我们最近的分析结果使问题很容易。所提出的随机模型足够灵活，可以描述所研究的实验系统中细胞动力学的复杂模式。生物实验将是专门设计的，以充分利用所提出的建模技术和计算算法的功能。这种方法将在正常脊髓和铁缺乏的病理状态下详细了解细胞发育。