Bioinformatics and Data Management Core

项目摘要生物信息学和数据管理(BDMC)核心 创建和建立迟发性阿尔茨海默病小鼠模型的翻译相关性需要 一个与所有中心组件交互的集中式数据管理和分析平台。为此， 生物信息学和数据管理核心(BDMC)将：结合人类和老鼠的数据进行预测 遗传因素在多基因负荷模型中的组合；联合分析多组学、生物标记物和 成像数据以表征新的鼠标负载模型；系统地将多模式鼠标数据与 类似的人类研究数据，以确定每个小鼠模型的精确疾病相关性；识别小鼠 精确疗法针对临床前试验的路径改变的模型；扩展、维护、 并进一步建立数据共享平台，以便广泛和公平地获取所有数据和协议。这个核心将 通过以下目标实现这一目标：(1)迭代分析人类和鼠标数据，以确定多个 负荷的阶乘鼠标模型；(2)通过对齐确定鼠标模型的平移相关性 人类负荷和与治疗相关的改变的识别；(3)使所有人都能进行开放的科学实践 通过数据传播和交互式网络平台将鼠标模型放在中心。BDMC将在 现有资源，如AD知识门户、Model-AD Explorer、Agora平台、ALZ-PED、 以及来自现有NIA资助的财团的工作流，包括AMP-AD、Treat-AD、Model-AD、Move-AD、 和恢复力-AD。我们将把这个以鼠标为中心的项目的成果添加到这个基础上来优化 翻译相关性和负责任的数据重用。内部和外部研究人员将定位于 高效可靠地评估小鼠模型的疾病相关性。最后，更广泛的研究界 将有权负责任地使用鼠标模型来理解和指导他们的研究 阿尔茨海默病的治疗学。

PROJECT SUMMARY BIOINFORMATICS AND DATA MANAGEMENT (BDMC) CORE Creating and establishing the translational relevance of mouse models of late-onset Alzheimer’s disease requires a centralized data management and analysis platform interacting with all Center components. To this end, the Bioinformatics and Data Management Core (BDMC) will: combine human and mouse data to predict combinations of genetic factors in polygenic models of LOAD; jointly analyze multi-omics, biomarker, and imaging data to characterize new mouse models of LOAD; systematically align multimodal mouse data to analogous human study data to determine the precise disease relevance of each mouse models; identify mouse models with alterations in pathways targeted by precision therapeutics for preclinical testing; expand, maintain, and further populate a data-sharing platform for broad and FAIR access of all data and protocols. This core will address this goal through the following aims: (1) Iteratively analyze human and mouse data to prioritize multi- factorial mouse models of LOAD; (2) Determine translational relevance of mouse models through alignment with human LOAD and identification of therapeutically-relevant alterations; (3) Enable open science practices for all Center mouse models through data dissemination and an interactive web platform. The BDMC will build upon existing resources such as the AD Knowledge Portal, the MODEL-AD Explorer, the Agora platform, Alz-PED, and the workflows from existing NIA-funded consortia, including AMP-AD, TREAT-AD, MODEL-AD, MOVE-AD, and Resilience-AD. We will add the outcomes of this mouse-centered project to this foundation to optimize translational relevance and responsible data reuse. Internal and external researchers will be positioned to efficiently and reliably assess the disease relevance of mouse models. Finally, the broader research community will be empowered to use responsibly use mouse models to understand and guide their research into therapeutics for Alzheimer’s disease.