Bioinformatics and Data Management Core

生物信息学和数据管理（BDMC）核心项目摘要 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 一个集中的数据管理和分析平台，与中心的所有组件进行交互。为此中央 生物信息学和数据管理核心（BDMC）将：联合收割机结合人类和小鼠的数据来预测 LOAD的多基因模型中遗传因素的组合;联合分析多组学，生物标志物， 成像数据，以表征LOAD的新小鼠模型;系统地将多模式小鼠数据与 类似的人类研究数据，以确定每种小鼠模型的精确疾病相关性; 用于临床前测试的精确治疗靶向途径改变的模型;扩展，维护， 并进一步填充数据共享平台，以广泛和公平地访问所有数据和协议。核心将 通过以下目标来实现这一目标：（1）迭代分析人类和小鼠数据，以优先考虑多个 LOAD的析因小鼠模型;（2）通过与 人类负荷和治疗相关改变的鉴定;（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来集中鼠标模型。BDMC将建立在 现有资源，如AD知识门户、MODEL-AD Explorer、Agora平台、Alz-PED， 以及来自现有的由国家情报局资助的联盟的工作流程，包括AMP-AD、MODEL-AD、MOVE-AD、 弹性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， 翻译相关性和负责任的数据重用。内部和外部研究人员将被定位为 有效和可靠地评估小鼠模型的疾病相关性。最后，更广泛的研究界 将被授权负责任地使用小鼠模型来理解和指导他们的研究， 阿尔茨海默病的治疗方法。

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.