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.

摘要 U19的基因组核心将提供最先进的转录体、小转录体和外切体 为三个项目中调查的器官和细胞系统提供转录学分析支持：大脑(项目1)； 心脏(项目2)；肝脏和骨骼肌(项目3)。建议的所有方法和分析工具 核心是经常使用的，也是公认的。具体来说，基因组学核心将提供以下内容 分析： RNA分析：对编码RNA和长非编码RNA(LncRNA)的转录研究和分析将 在每个项目特定的组织和细胞上进行。 MicroRNA分析：microRNAs(MiRNAs)和其他小的调节RNA将从组织和 三个项目的细胞。此外，还将使用外显子分析来确定循环 Exosome microRNAs(MiRNAs)与观察到的三种靶组织和细胞中的变化相关 项目。 基因组学核心还将提供结果的综合分析，以确定转录变异的作用， 包括编码和非编码RNA，正常衰老(正常生命周期，NLC)，宫内发育中的衰老 限制子代(IUGR)和母体妊娠期肥胖子代(MO)在狒狒组织或细胞中的表达 对于每个项目，以及皮质醇替代干预(CRI)狒狒中的组织和细胞。《核心》 还将协助这些项目确定对这四个国家衰老作出反应的协调分子网络 动物群组，并确定管理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)放入高维网络作为开发系统的第一步 非人灵长类(NHP)的老化分析。 这三个项目都将使用基因组学核心的服务。我们分析样本的协同方法 对所有三个项目使用相同的方法，允许多路样品进行分析，最大限度地减少试剂 成本和减少分析构件。此外，该方法还允许为所有人集成“组学”数据 组织分析，这将提供一个第一次看到的“系统”的反应，在五个狒狒队列。