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）：我们在 NIH/NINDS RO1 NS39511 资助下进行的研究最重要的成果是少突胶质细胞体外发育的随机模型，该模型已针对多组实验数据进行了测试。基于该模型构建的新估计技术可以根据具有生物学意义的参数来分析基础过程。这些结果为设计分析相关体内研究非常需要的推理程序提供了坚实的基础。拟议研究的总体目标是发展此类程序，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态是高度不稳定的。提出了分析和模拟技术的结合作为该问题的建设性解决方案。我们最近的分析结果使这个问题变得容易解决。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。生物实验将经过专门设计，以充分利用所提出的建模技术和计算算法的力量。这种方法将提供对正常脊髓和缺铁病理条件下细胞发育的详细了解。