Core C: Genomics Core

核心 C：基因组学核心

• 批准号: 10201484
• 负责人: Laura A Cox
• 金额: $ 18.55万
• 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 2023-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10201484
• 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; Pregnancy; 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; 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先进的转录组学、小转录组学和外泌体 转录组学分析支持三个项目中研究的器官和细胞系统：大脑（项目 1）； 心（项目2）；以及肝脏和骨骼肌（项目 3）。提议的所有方法和分析工具 核心已被常规使用且已完善。具体来说，基因组学核心将提供以下功能 分析： RNA 分析：编码 RNA 和长非编码 RNA (lncRNA) 的转录组研究和分析将 对每个项目特定的组织和细胞进行。 microRNA 分析：将从组织中分离出 microRNA (miRNA) 和其他小调控 RNA 来自三个项目的细胞。此外，外泌体分析将用于确定是否循环 外泌体 microRNA (miRNA) 与三种靶组织和细胞中观察到的变化相关 项目。 基因组学核心还将提供结果的综合分析，以确定转录本变异的作用， 包括编码和非编码RNA、正常衰老（正常生命历程，NLC）、宫内生长中的衰老 狒狒组织或细胞中的限制后代（IUGR）和妊娠期间母亲肥胖的后代（MO） 每个项目以及皮质醇替代干预 (CRI) 狒狒的组织和细胞。核心 还将协助该项目确定这四个领域响应衰老的协调分子网络 动物群体，并确定调节这些网络的中心枢纽。将使用网络工具来集成 将多个数据集（例如 miRNA 和 mRNA）转化为高维网络，作为开发系统的第一步 衰老非人灵长类动物 (NHP) 的分析。 所有三个项目都将使用 Genomics Core 的服务。我们的协同方法分析样品 对所有三个项目使用相同的方法可以对样品进行多重分析，从而最大限度地减少试剂 成本并减少分析工件。此外，这种方法允许整合所有的“组学”数据。 组织进行了分析，这将首次展示五个狒狒群体对衰老的“系统”反应。