Multi-cellular and multi-scale systems modeling to understand the dynamics of the human immune system in interdisciplinary applications

多细胞和多尺度系统建模，以了解跨学科应用中人体免疫系统的动态

• 批准号: 10799092
• 负责人: Tomas Helikar
• 金额: $ 24.74万
• 依托单位: UNIVERSITY OF NEBRASKA LINCOLN
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-01 至 2026-11-30
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/10799092
• 关键词: Biological; Biological Markers; Biological Models; Cells; Communication; Communities; Complex; Computer Models; Computer software; Data; Decision Making; Development; Dimensions; Disease; Education; Gene Expression Regulation; Human; Immune; Immune response; Immune system; Immunological Models; Immunologist; Infrastructure; Interdisciplinary Study; Mediator; Metabolism; Methods; Modeling; Nature; Property; Reproducibility; Research; Research Personnel; Signal Transduction; Software Engineering; System; Technology; Time; Visualization; Work; cell type; cloud based; computer framework; cost; data-driven model; effective therapy; human model; improved; knowledge integration; multi-scale modeling; parent grant; pathogen; predictive modeling; programs; simulation; translational scientist; virtual

Project Summary The parent grant, 2R35GM119770, (“Multi-cellular and multi-scale systems modeling to understand the dynamics of the human immune system in interdisciplinary applications”) supports my research program, which aims to identify how the immune system can be rewired en masse to elicit higher-order decision-making while still enabling the system to remain otherwise “healthy.” To this end, we are leveraging a highly interdisciplinary research team (computational and experimental immunologists, software engineers, and education researchers) and collaborators to build a Virtual Immune System -- a multi-scale, multi-approach computational framework to understand better the complex dynamical nature of the immune system, identify more accurate multi-dimensional biomarkers, and identify safe and effective treatments within a reasonable time and cost. To this end, we have been building a comprehensive model of the immune system, that integrates knowledge and data across several scales of biological organization, including metabolism, gene regulation, signal transduction, and communication among the different types of immune cells. In addition to expanding the Virtual Immune system, my program continues to develop methods and technologies for data-driven model construction, visualization, computation, real-time simulations, and reproducibility to advance multi-scale modeling of the immune system and beyond, including a cloud-based collaborative modeling software, Cell Collective. This supplement will enable us to generate new high-quality data under consistent conditions that will be used to significantly improve the quality and accuracy of the Virtual Immune System model. The model, along with the data, will be made available to the community through our computing infrastructure.

项目摘要 父授予2R35GM119770，（“多细胞和多尺度系统建模，以了解该动力学的动力学 跨学科应用中的人类免疫系统”）支持我的研究计划，该计划旨在确定如何确定如何 免疫系统可以集合起来，以引发高阶决策，同时仍使系统保持 否则“健康”。为此，我们正在利用一个高度跨学科的研究团队（计算和 实验免疫学家，软件工程师和教育研究人员）和合作者建立虚拟免疫 系统 - 一个多尺度的多范围计算框架，可以更好地理解复杂的动态性质 免疫系统，确定更准确的多维生物标志物，并确定安全有效的治疗方法 在合理的时间和成本之内。为此，我们一直在建立一个全面的免疫系统模型 生物组织多个量表的综合知识和数据，包括代谢，基因调节， 信号转移以及不同类型的免疫细胞之间的通信。除了扩展虚拟 免疫系统，我的计划继续开发用于数据驱动模型构建的方法和技术， 可视化，计算，实时模拟和可重复性，以推动免疫的多尺度建模 系统及其他地区，包括基于云的协作建模软件Cell Collective。这种补充会 使我们能够在一致的条件下生成新的高质量数据，以显着改善 虚拟免疫系统模型的质量和准确性。该模型以及数据将提供给 通过我们的计算基础架构进行社区。