Advancing mechanism-based studies with cross-species chemical-phenotype data

利用跨物种化学表型数据推进基于机制的研究

• 批准号: 9352398
• 负责人: CAROLYN J MATTINGLY
• 金额: $ 11万
• 依托单位: NORTH CAROLINA STATE UNIVERSITY RALEIGH
• 依托单位国家: 美国
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-09-15 至 2019-12-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9352398
• 关键词: Address; Asthma; Bioinformatics; Biological; Biological Markers; Biological Models; Biological Process; Biometry; Chemical Exposure; Chemicals; Commerce; Communities; Comparative Study; Complement; Complex; Data; Data Analyses; Data Set; Databases; Development; Diabetes Mellitus; Disease; Disease Progression; Environment; Environmental Health; Environmental Risk Factor; Etiology; Experimental Designs; Genes; Genetic; Goals; Health; Human; In Vitro; Malignant Neoplasms; Manuals; Molecular; Online Systems; Pathway Analysis; Pathway interactions; Peer Review; Phenotype; Regulation; Research; Research Infrastructure; Research Priority; Resources; Review Literature; Risk Assessment; System; Therapeutic Intervention; Toxic effect; Toxicogenomics; Toxicology; Widespread Disease; base; comparative; data modeling; design; disease phenotype; flexibility; gene interaction; human disease; improved; insight; model organisms databases; novel; potential biomarker; software development; statistics; tool; tool development; web app

DESCRIPTION (provided by applicant): Our objective is to provide a centralized, publicly available resource with comprehensive, well-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; however, the basis of these complex interactions are not well understood and limit improvements in toxicity prediction, risk assessment, research prioritization and 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. We propose to develop and implement a new module of manually curated data describing cross-species chemical-phenotype information and analytical capabilities that will incorporate these data into the broader biological context of CTD. These additions will significantly increase the impact of CTD and specifically aim to advance: a) understanding of environmental disease progression via pre-disease phenotypes, b) identification of potential biomarkers of exposure, c) the capacity to conduct and interpret studies across species and experimental systems, and d) development of biological networks that associate chemicals, genes, phenotypes, and diseases. This project will leverage our interdisciplinary team's expertise in toxicology, software development, curation, bioinformatics and statistics, as well as the flexible infrastructure and demonstrated value of CTD to facilitate understanding of critical environmental health issues in direct alignment with emerging research priorities.

描述（由申请人提供）：我们的目标是提供一个集中的，公开的资源，全面的，注释良好的数据和分析工具，通知设计和解释环境健康研究，并促进新的见解环境影响的疾病的病因。大多数人类疾病涉及遗传和环境因素之间的相互作用;然而，这些复杂的相互作用的基础还没有得到很好的理解，并限制了毒性预测，风险评估，研究优先次序和治疗干预措施的改进。我们开发了比较毒理基因组学数据库（CTD; http://ctdbase.org），通过提供来自同行评审文献的描述化学-基因相互作用以及化学-和基因-疾病关系的手动管理数据，并将这些数据与选定的外部数据集（例如，途径和生物过程数据）和新颖的数据分析工具。我们建议开发和实施一个新的手动管理的数据模块，描述跨物种的化学表型信息和分析能力，将这些数据纳入更广泛的CTD生物背景。这些增加将显著增加CTD的影响，并特别旨在促进：a）通过疾病前表型了解环境疾病进展，B）识别潜在的暴露生物标志物，c）跨物种和实验系统进行和解释研究的能力，以及d）开发与化学品，基因，表型和疾病相关的生物网络。该项目将利用我们的跨学科团队在毒理学，软件开发，策展，生物信息学和统计学方面的专业知识，以及CTD的灵活基础设施和已证明的价值，以促进对关键环境健康问题的理解，并与新兴的研究重点直接保持一致。