Core C (Informatics and Computation Core)

项目摘要-核心C 信息学和计算核心(核心C)将在该计划项目拨款中发挥三管齐下的作用 (Ppg)研究血管周围脂肪组织(PVAT)作为血管健康的中枢整合因子的作用：i) 服务，ii)培训和iii)发展。在服务组件下，核心C将监督生成、 分析并可视化项目I-IV所需的所有批量和单细胞基因组数据。被改变的基因 PVAT主要细胞类型从健康向高脂饮食诱导的高血压转变 将确定隔室，并将沿着健康到疾病连续体的细胞扰动轨迹 被映射。将向所有项目和核心人员以及受训人员提供使用切割技术的自愿培训。 生物数据可视化和网络分析的边缘工具。开发组件将重点放在 建立PVAT由健康状态向炎症状态转变的预测计算模型 饮食相关高血压，基于临界状态转换理论。该模型将整合以下方面的调查结果：i) 血管压力向PVAT传递的机制及PVAT对此压力的反应 一)；二)在健康和疾病中神经支配的程度和神经系统在PVAT功能中的作用 项目II；III)PVAT微环境对血管周围免疫功能的影响 (项目III)；以及(Iv)机械力对PVAT成脂潜力的影响(项目IV)。此入站 Silico模型将提供一个统一的量化框架，以生成和测试关于角色的新假设 PVAT在健康和高血压患者中的分布。 核心C的目标将使用免费、开源的计算工具来实现。模型和分析 剧本将被重复录制，并通过开放的在线门户网站在PPG内外共享，如 GitHub。核心C还将能够通过集中执行和 来自所有项目的散装和单细胞RNA-Seq实验的分析。

Project Summary – Core C The Informatics and Computation Core (Core C) will play a three-pronged role in this Program Project Grant (PPG) investigating the role of perivascular adipose tissue (PVAT) as a central integrator of vascular health: i) service, ii) training and iii) development. Under the service component, Core C will oversee generation of, analyze, and visualize all bulk and single-cell genomic data required by Projects I-IV. Genes that are altered in the transition from health to high fat diet-induced hypertension in the principal cell types of the PVAT compartment will be identified, and trajectories of cellular perturbation along the health to disease continuum will be mapped. Voluntary training will be provided to all Project and Core personnel and trainees in use of cutting- edge tools in biological data visualization and network analysis. The development component will focus on building a predictive computational model of the transition of PVAT from a healthy state to an inflamed state in diet-associated hypertension, based on critical state transition theory. The model will integrate findings on: i) mechanisms of communication of vascular pressure to PVAT and the response of PVAT to this pressure (Project I); ii) the extent of innervation and the role of the nervous system in the functioning of PVAT in health and disease (Project II); iii) the effect of the PVAT microenvironment on immune function in the vascular neighborhood (Project III); and iv) the effect of mechanical forces on the adipogenic potential of PVAT (Project IV). This in silico model will provide a unified quantitative framework to generate and test novel hypotheses about the role of PVAT in health and under hypertension. The aims of Core C will be accomplished using free, open-source computational tools. Models and analysis scripts will be reproducibly recorded and shared across the PPG and beyond through open online portals like Github. Core C will also be able to provide significant cost savings to the PPG by centralizing execution and analysis of bulk and single-cell RNA-Seq experiments from all projects.