Core C: Genomics Core

核心 C：基因组学核心

• 批准号: 10450798
• 负责人: Laura A Cox
• 金额: $ 17.18万
• 依托单位: UNIVERSITY OF WYOMING
• 依托单位国家: 美国
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-30 至 2023-08-15
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10450798
• 关键词: Aging; Animals; Brain; Cells; Code; Data; Data Analyses; Databases; Development; Fetal Growth; Fetal Growth Retardation; Genomics; Health Sciences; Heart; Intervention; Laboratories; Life Cycle Stages; Liver; Messenger RNA; Methodology; Methods; MicroRNAs; Molecular; Morphologic artifacts; Online Systems; Organ; Papio; Pathway Analysis; Primates; RNA; RNA analysis; Reagent; Research Personnel; Resources; Role; Sampling; Services; Skeletal Muscle; Software Tools; System; Systems Analysis; Technology; Tissues; Transcript; Untranslated RNA; Uterus; Variant; cohort; cost; data management; exosome; forest; high dimensionality; high throughput analysis; in silico; large datasets; maternal obesity; multiple datasets; nonhuman primate; normal aging; obesity in pregnancy; offspring; response; tool; transcriptomics

ABSTRACT The Genomics Core of the U19 will provide state-of-the-art transcriptomics, small transcriptomics and exosome transcriptomics analysis support for organ and cell systems investigated in the three projects: brain (Project 1); heart (Project 2); and liver and skeletal muscle (Project 3). All methodologies and analysis tools proposed for the Core are routinely used and well-established. Specifically, the Genomics Core will provide the following analyses: RNA Analysis: Transcriptomic studies and analyses of coding RNAs and long noncoding RNAs (lncRNA) will be performed on tissues and cells specific to each project. microRNA Analysis: microRNAs (miRNAs) and other small regulatory RNAs will be isolated from tissues and cells from the three projects. In addition, exosome analysis will be used to determine whether circulating exosome microRNAs (miRNAs) correlate with changes observed in target tissues and cells in the three Projects. The Genomics Core will also provide integrated analysis of results to establish the role of transcript variation, including coding and non-coding RNAs, in normal aging (normal life course, NLC), aging in intrauterine growth restricted offspring (IUGR) and offspring of maternal obesity during pregnancy (MO) in baboon tissues or cells for each Project, as well as for tissues and cells in corticol replacement intervention (CRI) baboons. The Core will also assist the Projects in identifying coordinated molecular networks responsive to aging in these four animal cohorts, and identify central hubs regulating these networks. Network tools will be used to integrate multiple datasets (e.g., miRNA and mRNA) into high-dimensional networks as a first step to develop a systems analysis of the aging nonhuman primate (NHP). All three projects will use the services of the Genomics Core. Our synergistic approach analyzing samples using the same method for all three projects allows multiplexing of samples for analysis, minimizing reagent costs and reducing analysis artifacts. In addition, this approach allows for integration of “omics” data for the all tissues analyzed, which will provide a first look at the “systems” response to aging in the five baboon cohorts.

抽象的 U19的基因组学核心将提供最新的转录组学，小型转录组学和外染色体 在三个项目中研究的器官和细胞系统的转录组学分析支持：大脑（项目1）； 心脏（项目2）;以及肝脏和骨骼肌（项目3）。提出的所有方法和分析工具 核心经常使用且建立良好的核心。具体而言，基因组学核心将提供以下 分析： RNA分析：编码RNA和长不编码RNA（LNCRNA）的转录组研究和分析将 在针对每个项目的组织和细胞上进行。 microRNA分析：将从组织和 三个项目的细胞。此外，外部分析将用于确定是否循环 外泌体microRNA（miRNA）与在三个目标时机和细胞中观察到的变化相关 项目。 基因组核心还将提供结果的综合分析，以确定转录的作用， 包括编码和非编码RNA，在正常衰老（正常生命过程，NLC）中，内存生长衰老 狒狒组织或细胞中孕产妇肥胖症（MO）的限制后代（IUGR）和后代 对于每个项目，以及皮质醇替代干预（CRI）狒狒的组织和细胞。核心 还将协助项目确定这四个响应衰老的协调分子网络 动物队列并识别调节这些网络的中央枢纽。网络工具将用于集成 多个数据集（例如miRNA和mRNA）进入高维网络，作为开发系统的第一步 衰老非人类灵长类动物（NHP）的分析。 这三个项目将使用基因组核心的服务。我们的协同方法分析样品 对于所有三个项目，使用相同的方法允许多样化样品进行分析，最大程度地减少试剂 成本和减少分析工件。此外，这种方法允许整合所有的“ OMIC”数据 分析的组织将首先观察五个狒狒队列中对衰老的“系统”反应。