Functional Genomics and Bioinformatics Data management Core

FGBDMC摘要： 加州大学欧文分校(UCI)模型-AD功能基因组学和生物信息学数据 管理核心(FGBDMC)将集中所有功能基因组学以及生物信息学任务，以支持 UCI模式的努力-AD中心。核心将深刻描述UCI迟发性AD(LOAD)小鼠的特征 使用批量和单细胞技术的模型，并建议UCI模型-AD疾病模型 变异体和遗传背景最佳组合的开发和表型计划(DMP) 适用于后续型号。具体地说，FGBDMC将：1)使用批量RNA表征新的小鼠AD模型 测序以识别特定模型的基因表达变化，2)表征选定的小鼠AD模型 用单细胞和单核RNA-seq和atac-seq鉴定基因的细胞型特异性变化 表达和染色质可及性与阿尔茨海默病风险变异功能相关，3)综合分析 所有UCI模型-AD的组学数据与AMP-AD和其他公开可用的数据一起，以表征 人类AD与新型UCI小鼠AD模型的相关性以及预测最佳变种组合 支持DMP工作，以及4)使UCI模型-AD结果可在Sage Bionnetworks Synapse门户网站上访问。

FGBDMC ABSTRACT: The University of California, Irvine (UCI) MODEL-AD Functional Genomics and Bioinformatics Data Management Core (FGBDMC) will centralize all functional genomics as well as bioinformatics tasks to support the efforts of the UCI MODEL-AD Center. The core will characterize deeply UCI Late-Onset AD (LOAD) mouse models using bulk as well as single-cell techniques, and advise the UCI MODEL-AD Disease Model Development and Phenotyping Project (DMP) as to the best combination of variants and genetic backgrounds for subsequent models. Specifically, the FGBDMC will: 1) characterize novel mouse AD models using bulk RNA sequencing to identify model-specific changes in gene expression, 2) characterize selected mouse AD models using single-cell and single-nucleus RNA-seq and ATAC-seq to identify cell-type specific changes in gene expression and chromatin accessibility associated with AD GWAS risk-variant function, 3) analyze integratively all UCI MODEL-AD ‘omics data with AMP-AD and other publicly-available data in order to characterize the human AD relevance of the novel UCI mouse AD models as well as to predict the best variant combination to support DMP efforts, and 4) make UCI MODEL-AD results accessible on the Sage Bionetworks Synapse Portal.