TIM Project NIDA P30 Center

TIM 项目 NIDA P30 中心

• 批准号: 10177981
• 负责人: Laura Maren Saba
• 金额: $ 29.8万
• 依托单位: UNIVERSITY OF TENNESSEE HEALTH SCI CTR
• 依托单位国家: 美国
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-08-01 至 2024-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/10177981
• 关键词: Archives; Behavior; Bioinformatics; Biological; Cells; Code; Collaborations; Complex; DNA; DNA sequencing; Data; Data Set; Databases; Development; Disease; Drug Interactions; Drug abuse; Elements; Environment; Environmental Risk Factor; Epigenetic Process; Foundations; Genes; Genetic; Genetic Transcription; Genome; Genomics; Goals; Human; Hybrids; Informatics; Institution; Instruction; Letters; Link; Maps; Measures; Metadata; Methods; Modeling; Molecular; Multiomic Data; Mus; National Institute of Drug Abuse; National Institute on Alcohol Abuse and Alcoholism; Noise; Participant; Pathway interactions; Pharmaceutical Preparations; Pharmacotherapy; Phenotype; Prevention; Process; Protein Isoforms; Proteins; Publishing; Quantitative Trait Loci; RNA; RNA Splicing; Rattus; Reproducibility; Research; Research Personnel; Research Support; Resources; Risk; Risk Factors; Rodent; Site; Source; Standardization; Stress; Sum; System; Systems Analysis; Techniques; Tissues; Training; Transcript; Transcriptional Regulation; Translations; United States National Institutes of Health; Untranslated RNA; Variant; Visualization; addiction; behavior influence; brain cell; data analysis pipeline; data standards; drug relapse; genetic variant; high throughput technology; improved; innovation; neuronal circuitry; novel; precision medicine; prevent; programs; protein metabolite; ranpirnase; sex; single-cell RNA sequencing; skills; software systems; tool; transcriptome; transcriptome sequencing; transcriptomics; web-based tool

Addiction is a highly complex disease with risk factors that include genetic variants and differences in development, sex, and environment. The long term potential of precision medicine to improve drug treatment and prevention depends on gaining a much better understanding how genetics, drugs, brain cells, and neuronal circuitry interact to influence behavior. There are serious technical barriers that prevent researchers and clinicians from incorporating more powerful computational and predictive methods in addiction research. The purpose of the NIDA P30 Core Center of Excellence in Omics, Systems Genetics, and the Addictome is to empower and train researchers supported by NIH, NIDA, NIAAA, and other federal and state institutions to use more quantitative and testable ways to analyze genetic, epigenetic, and the environmental factors that influence drug abuse risk and treatment. The Administrative Core manages relations among research cores, groups of users, trainees, and pilot program participants. The Transcriptome Informatics and Mechanisms research core assembles and analyzes hundreds of large genome (DNA) and transcriptome (RNA) datasets for experimental rodent (rat) models of addiction. The Systems Analytics and Modeling research core is using innovative systems genetics methods to understand the linkage between DNA differences, environmental risks such as stress, and the differential risk of drug abuse and relapse. The Pilot core is catalyzing new collaborations among young investigator in the field of addiction research. In sum the Center is a national resource for more reproducible research in addiction. We are centralizing, archiving, distributing, analyzing and integrating high quality data, metadata, using open software systems in collaboration with many other teams of researchers. Our goal is to help build toward an NIDA Addictome Portal that will include all genomic research relevant to addiction research.

成瘾是一种高度复杂的疾病，其风险因素包括遗传变异和 发展、性和环境。精准医疗改善药物治疗的长期潜力 预防依赖于更好地了解遗传学、药物、脑细胞和 神经回路相互作用影响行为。存在严重的技术障碍， 和临床医生将更强大的计算和预测方法纳入成瘾研究。 NIDA P30核心卓越中心在组学，系统遗传学和成瘾 是授权和培训由NIH、NIDA、NIAAA和其他联邦和州机构支持的研究人员 使用更多的定量和可测试的方法来分析遗传，表观遗传和环境因素， 影响药物滥用风险和治疗。行政核心管理研究核心之间的关系， 用户组、受训人员和试点项目参与者。转录组信息学与机制 研究核心汇集并分析了数百个大型基因组（DNA）和转录组（RNA）数据集 用于实验性啮齿动物（大鼠）成瘾模型。系统分析和建模研究核心正在使用 创新的系统遗传学方法，以了解DNA差异，环境风险 例如压力，以及药物滥用和复发的不同风险。Pilot核心正在催化新的 在成瘾研究领域的年轻研究人员之间的合作。总之，该中心是一个国家 更多可重复的成瘾研究资源。我们正在集中、归档、分发、分析和 整合高质量的数据，元数据，使用开放的软件系统，与许多其他团队合作， 研究人员我们的目标是帮助建立一个NIDA Addicome Portal，其中包括所有基因组研究 与成瘾研究有关。