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Comparative Toxicogenomics Database (CTD)

比较毒理基因组学数据库 (CTD)

基本信息

批准号：
10188530
负责人：
Allan Peter Davis
金额：
$ 51.19万
依托单位：
NORTH CAROLINA STATE UNIVERSITY RALEIGH
依托单位国家：
美国
项目类别：
财政年份：
2006
资助国家：
美国
起止时间：
2006-08-18 至 2022-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/10188530
关键词：
Affect Asthma Biological Process Biology Chemicals Commerce Communities Complex Computer software Data Data Analyses Data Set Data Sources Databases Development Diabetes Mellitus Disease Ensure Environment Environmental Exposure Environmental Health Environmental Risk Factor Etiology Feedback Gene Proteins Genes Genetic Health Human Infrastructure Malignant Neoplasms Manuals Modeling Molecular Target Pathway Analysis Pathway interactions Peer Review Regulation Research Resources Review Literature Risk Assessment Source Structure System Therapeutic Intervention Toxic effect Toxicogenomics Toxicology Visualization Visualization software Widespread Disease adverse outcome analytical tool base comparative design diverse data exposed human population gene interaction high throughput screening human disease improved insight interoperability novel programs response source localization text searching therapeutically effective tool

项目摘要

Our objective is to provide an unparalleled, centralized, publicly available resource with comprehensive, expertly annotated data, and analysis tools that informs design and interpretation of environmental health studies and promotes novel insights into the etiologies of environmentally influenced diseases. Most human diseases involve interactions between genetic and environmental factors. The environment is implicated in many common conditions such as asthma, cancer, and diabetes; however, the etiology of these widespread diseases remains unclear. More than 80,000 chemicals are currently used in commerce, challenging elucidation about chemical mechanisms of action and prioritization of environmental research. Integration of diverse data with novel analysis approaches is required to understand environment- disease associations and is essential for improving toxicity prediction, risk assessment, regulation and development of effective therapeutic interventions. We developed the Comparative Toxicogenomics Database (CTD; http://ctdbase.org) to enhance understanding about environment-disease connections by providing manually curated data describing chemical-gene interactions and chemical- and gene-disease relationships from the peer-reviewed literature and integrating these data with select external data sets (e.g., pathways and biological process data) and novel data analysis tools. Since its initial public release in 2004, CTD has become a well-established resource with a strong and expanding user base. This competitive renewal proposes to leverage and enhance the existing CTD framework, and continue our tradition of responding to the evolving needs of the environmental health research community by a) increasing the depth of content through comprehensive curation of our “core” (chemical-gene/protein-disease) and exposure data, b) incorporating select public data sets to augment mechanism-based environmental health analyses, and c) developing and integrating novel analytical and visualization tools. These additions will significantly increase the impact of CTD on environmental health research by centralizing, harmonizing, and contextualizing information required to understand the complex relationships between diverse exposures and environmentally influenced diseases.

我们的目标是提供无与伦比的、集中的、公开可用的资源全面、经过专业注释的数据和分析工具，可为设计和解释环境健康研究并促进对环境病因的新见解影响了疾病。大多数人类疾病涉及遗传和环境因素之间的相互作用。环境与许多常见疾病有关，如哮喘、癌症和糖尿病；然而，这些广泛传播的疾病的病因尚不清楚。目前有80,000多种化学品用于商业，对化学作用机制和环境优先顺序的挑战性阐明研究。需要将各种数据与新颖的分析方法相集成，才能了解环境- 疾病关联，对于改进毒性预测、风险评估、监管和开发有效的治疗干预措施。我们开发了比较毒理基因组学数据库 (ctd；http://ctdbase.org)通过提供以下方式加强对环境与疾病联系的理解描述化学-基因相互作用以及化学-基因-疾病关系的人工精选数据并将这些数据与选定的外部数据集(例如，路径和生物过程数据)和新的数据分析工具。自2004年首次公开发布以来，CTD已经成为拥有强大且不断扩大的用户基础的成熟资源。这一竞争性续签计划旨在利用和加强现有的CTD框架，并继续我们应对环境健康研究界不断发展的需求：a)增加内容深度通过全面管理我们的“核心”(化学-基因/蛋白质-疾病)和暴露数据，b) 纳入选定的公共数据集，以增强基于机制的环境健康分析，以及c)开发和整合新的分析和可视化工具。这些新增功能将通过集中、协调和了解不同暴露和感染之间的复杂关系所需的背景信息环境影响的疾病。

项目成果

期刊论文数量（48）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Public data sources to support systems toxicology applications.

DOI：
10.1016/j.cotox.2019.03.002
发表时间：
2019-08
期刊：
Current opinion in toxicology
影响因子：
4.6
作者：
Davis AP;Wiegers J;Wiegers TC;Mattingly CJ
通讯作者：
Mattingly CJ

Aquatic models, genomics and chemical risk management.

水生模型，基因组学和化学风险管理。

DOI：
10.1016/j.cbpc.2011.06.009
发表时间：
2012-01
期刊：
COMPARATIVE BIOCHEMISTRY AND PHYSIOLOGY C-TOXICOLOGY & PHARMACOLOGY
影响因子：
3.9
作者：
Cheng, Keith C.;Hinton, David E.;Mattingly, Carolyn J.;Planchart, Antonio
通讯作者：
Planchart, Antonio

Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.

DOI：
10.1093/nar/gkn580
发表时间：
2009-01
期刊：
Nucleic acids research
影响因子：
14.9
作者：
Davis AP;Murphy CG;Saraceni-Richards CA;Rosenstein MC;Wiegers TC;Mattingly CJ
通讯作者：
Mattingly CJ

DiseaseComps: a metric that discovers similar diseases based upon common toxicogenomic profiles at CTD.