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TIM Project NIDA P30 Center

TIM 项目 NIDA P30 中心

基本信息

批准号：
9360451
负责人：
Laura Maren Saba
金额：
$ 34.52万
依托单位：
UNIVERSITY OF TENNESSEE HEALTH SCI CTR
依托单位国家：
美国
项目类别：
财政年份：
资助国家：
美国
起止时间：
至
项目状态：
未结题

来源：
https://reporter.nih.gov/project-details/9360451
关键词：
Archives Behavior Bioinformatics Biological Cells Code Collaborations Complex DNA DNA sequencing Data Data Analyses Data Quality 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 Imagery Informatics Institution Instruction Letters Link Maps Measures Metadata Methods Modeling Molecular 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 addiction behavior influence brain cell drug relapse genetic variant high throughput technology improved innovation multiple omics neuronal circuitry novel precision medicine prevent programs protein metabolite ranpirnase sex skills software systems tool transcriptome transcriptome sequencing transcriptomics web-based tool

项目摘要

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，其危险因素包括遗传变异和基因差异。发展、性别和环境。精准医学改善药物治疗的长期潜力预防取决于更好地了解遗传学、药物、脑细胞和神经元回路相互作用以影响行为。存在严重的技术障碍阻碍研究人员以及临床医生在成瘾研究中采用更强大的计算和预测方法。 NIDA P30 组学、系统遗传学和成瘾组核心卓越中心的目的旨在授权和培训由 NIH、NIDA、NIAAA 以及其他联邦和州机构支持的研究人员使用更加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、受训者和试点项目参与者群体。转录组信息学和机制研究核心组装并分析了数百个大型基因组 (DNA) 和转录组 (RNA) 数据集用于成瘾实验啮齿动物（大鼠）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来了解 DNA 差异与环境风险之间的联系例如压力以及药物滥用和复发的不同风险。 Pilot 核心正在催生新的成瘾研究领域年轻研究者之间的合作。总之，该中心是一个全国性的更多可重复的成瘾研究资源。我们正在集中、归档、分发、分析和与许多其他团队合作，使用开放软件系统集成高质量数据、元数据研究人员。我们的目标是帮助建立一个涵盖所有基因组研究的 NIDA Addictome Portal 与成瘾研究相关。