• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过比较毒理基因组学数据库中的化学数据管理与整合推动暴露科学发展。

Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database.

作者信息

Grondin Cynthia J, Davis Allan Peter, Wiegers Thomas C, King Benjamin L, Wiegers Jolene A, Reif David M, Hoppin Jane A, Mattingly Carolyn J

机构信息

Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA.

出版信息

Environ Health Perspect. 2016 Oct;124(10):1592-1599. doi: 10.1289/EHP174. Epub 2016 May 12.

DOI:10.1289/EHP174
PMID:27170236
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5047769/
Abstract

BACKGROUND

Exposure science studies the interactions and outcomes between environmental stressors and human or ecological receptors. To augment its role in understanding human health and the exposome, we aimed to centralize and integrate exposure science data into the broader biological framework of the Comparative Toxicogenomics Database (CTD), a public resource that promotes understanding of environmental chemicals and their effects on human health.

OBJECTIVES

We integrated exposure data within the CTD to provide a centralized, freely available resource that facilitates identification of connections between real-world exposures, chemicals, genes/proteins, diseases, biological processes, and molecular pathways.

METHODS

We developed a manual curation paradigm that captures exposure data from the scientific literature using controlled vocabularies and free text within the context of four primary exposure concepts: stressor, receptor, exposure event, and exposure outcome. Using data from the Agricultural Health Study, we have illustrated the benefits of both centralization and integration of exposure information with CTD core data.

RESULTS

We have described our curation process, demonstrated how exposure data can be accessed and analyzed in the CTD, and shown how this integration provides a broad biological context for exposure data to promote mechanistic understanding of environmental influences on human health.

CONCLUSIONS

Curation and integration of exposure data within the CTD provides researchers with new opportunities to correlate exposures with human health outcomes, to identify underlying potential molecular mechanisms, and to improve understanding about the exposome.

CITATION

Grondin CJ, Davis AP, Wiegers TC, King BL, Wiegers JA, Reif DM, Hoppin JA, Mattingly CJ. 2016. Advancing exposure science through chemical data curation and integration in the Comparative Toxicogenomics Database. Environ Health Perspect 124:1592-1599; http://dx.doi.org/10.1289/EHP174.

摘要

背景

暴露科学研究环境应激源与人类或生态受体之间的相互作用及结果。为增强其在理解人类健康和暴露组方面的作用,我们旨在将暴露科学数据集中并整合到比较毒理基因组学数据库(CTD)这一更广泛的生物学框架中,CTD是一个促进对环境化学物质及其对人类健康影响理解的公共资源。

目的

我们在CTD中整合暴露数据,以提供一个集中的、免费可用的资源,便于识别现实世界暴露、化学物质、基因/蛋白质、疾病、生物过程和分子途径之间的联系。

方法

我们开发了一种人工编目范式,该范式在四个主要暴露概念(应激源、受体、暴露事件和暴露结果)的背景下,使用受控词汇和自由文本从科学文献中捕获暴露数据。利用农业健康研究的数据,我们展示了将暴露信息集中化和整合到CTD核心数据中的好处。

结果

我们描述了我们的编目过程,展示了如何在CTD中访问和分析暴露数据,并表明这种整合如何为暴露数据提供广泛的生物学背景,以促进对环境对人类健康影响的机制理解。

结论

在CTD中对暴露数据进行编目和整合为研究人员提供了新的机会,以将暴露与人类健康结果相关联、识别潜在的分子机制,并增进对暴露组的理解。

引用文献

Grondin CJ, Davis AP, Wiegers TC, King BL, Wiegers JA, Reif DM, Hoppin JA, Mattingly CJ. 2016. 通过比较毒理基因组学数据库中的化学数据编目和整合推进暴露科学。环境健康展望124:1592 - 1599; http://dx.doi.org/10.1289/EHP174 。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/1c2b00de0e29/EHP174.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/955fd8fd672b/EHP174.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/701112e4f5f8/EHP174.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/3f74711af120/EHP174.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/62ceebde47cb/EHP174.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/50d0cb3bbf2d/EHP174.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/1c2b00de0e29/EHP174.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/955fd8fd672b/EHP174.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/701112e4f5f8/EHP174.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/3f74711af120/EHP174.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/62ceebde47cb/EHP174.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/50d0cb3bbf2d/EHP174.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/50ea/5047769/1c2b00de0e29/EHP174.g006.jpg

相似文献

1
Advancing Exposure Science through Chemical Data Curation and Integration in the Comparative Toxicogenomics Database.通过比较毒理基因组学数据库中的化学数据管理与整合推动暴露科学发展。
Environ Health Perspect. 2016 Oct;124(10):1592-1599. doi: 10.1289/EHP174. Epub 2016 May 12.
2
The Comparative Toxicogenomics Database facilitates identification and understanding of chemical-gene-disease associations: arsenic as a case study.比较毒理基因组学数据库有助于识别和理解化学物质-基因-疾病之间的关联:以砷为例进行研究。
BMC Med Genomics. 2008 Oct 9;1:48. doi: 10.1186/1755-8794-1-48.
3
The curation paradigm and application tool used for manual curation of the scientific literature at the Comparative Toxicogenomics Database.比较毒理学基因组学数据库中用于科学文献人工注释的注释范例和应用工具。
Database (Oxford). 2011 Sep 20;2011:bar034. doi: 10.1093/database/bar034. Print 2011.
4
Comparative Toxicogenomics Database: a knowledgebase and discovery tool for chemical-gene-disease networks.比较毒理基因组学数据库:一个关于化学物质-基因-疾病网络的知识库和发现工具。
Nucleic Acids Res. 2009 Jan;37(Database issue):D786-92. doi: 10.1093/nar/gkn580. Epub 2008 Sep 9.
5
Text mining effectively scores and ranks the literature for improving chemical-gene-disease curation at the comparative toxicogenomics database.文本挖掘有效地对文献进行评分和排序,以提高比较毒理学基因组学数据库中的化学物质-基因-疾病的编纂工作。
PLoS One. 2013 Apr 17;8(4):e58201. doi: 10.1371/journal.pone.0058201. Print 2013.
6
Accessing an Expanded Exposure Science Module at the Comparative Toxicogenomics Database.在比较毒理学基因组学数据库中访问扩展暴露科学模块。
Environ Health Perspect. 2018 Jan 18;126(1):014501. doi: 10.1289/EHP2873.
7
The Importance of the Biological Impact of Exposure to the Concept of the Exposome.暴露于暴露组概念的生物学影响的重要性。
Environ Health Perspect. 2016 Oct;124(10):1504-1510. doi: 10.1289/EHP140. Epub 2016 Jun 3.
8
The comparative toxicogenomics database: a cross-species resource for building chemical-gene interaction networks.比较毒理基因组学数据库:构建化学物质-基因相互作用网络的跨物种资源。
Toxicol Sci. 2006 Aug;92(2):587-95. doi: 10.1093/toxsci/kfl008. Epub 2006 May 4.
9
Targeted journal curation as a method to improve data currency at the Comparative Toxicogenomics Database.靶向期刊策展作为一种提高比较毒理学基因组学数据库数据时效性的方法。
Database (Oxford). 2012 Dec 6;2012:bas051. doi: 10.1093/database/bas051. Print 2012.
10
Text mining and manual curation of chemical-gene-disease networks for the comparative toxicogenomics database (CTD).文本挖掘和化学-基因-疾病网络的人工整理用于比较毒理学基因组数据库(CTD)。
BMC Bioinformatics. 2009 Oct 8;10:326. doi: 10.1186/1471-2105-10-326.

引用本文的文献

1
Uncovering dendritic cell specific biomarkers for diagnosis and prognosis of cardiomyopathy using single cell RNA sequencing and comprehensive bioinformatics analysis.使用单细胞RNA测序和综合生物信息学分析揭示用于心肌病诊断和预后的树突状细胞特异性生物标志物。
Sci Rep. 2025 May 26;15(1):18424. doi: 10.1038/s41598-024-78011-3.
2
Identification of cell specific biomarkers for intellectual disability via single cell RNA sequencing and transcriptomic bioinformatics approaches.通过单细胞RNA测序和转录组生物信息学方法鉴定智力残疾的细胞特异性生物标志物。
Sci Rep. 2025 May 21;15(1):17609. doi: 10.1038/s41598-025-85162-4.
3
Comparative Toxicogenomics Database's 20th anniversary: update 2025.

本文引用的文献

1
Analysis of the ToxCast Chemical-Assay Space Using the Comparative Toxicogenomics Database.利用比较毒理基因组学数据库分析ToxCast化学分析空间
Chem Res Toxicol. 2015 Nov 16;28(11):2210-23. doi: 10.1021/acs.chemrestox.5b00369. Epub 2015 Nov 4.
2
INCREASED RISK OF CHILDHOOD BRAIN TUMORS AMONG CHILDREN WHOSE PARENTS HAD FARM-RELATED PESTICIDE EXPOSURES DURING PREGNANCY.父母在孕期有与农场相关的农药接触史的儿童患儿童脑肿瘤的风险增加。
JP J Biostat. 2014 Nov;11(2):89-101.
3
T3DB: the toxic exposome database.T3DB:毒性暴露组数据库。
比较毒理基因组学数据库成立20周年:2025年更新
Nucleic Acids Res. 2025 Jan 6;53(D1):D1328-D1334. doi: 10.1093/nar/gkae883.
4
Transforming environmental health datasets from the comparative toxicogenomics database into chord diagrams to visualize molecular mechanisms.将来自比较毒理基因组学数据库的环境卫生数据集转换为弦图,以可视化分子机制。
Front Toxicol. 2024 Jul 22;6:1437884. doi: 10.3389/ftox.2024.1437884. eCollection 2024.
5
Use of Network Pharmacology and Experiment Validation to Uncover the Mechanism of Jianshen Lishui Prescription in the Treatment of Intracerebral Hemorrhage.运用网络药理学与实验验证揭示健肾利水方治疗脑出血的作用机制
Comb Chem High Throughput Screen. 2025;28(3):453-466. doi: 10.2174/0113862073256436231031100059.
6
CTD tetramers: a new online tool that computationally links curated chemicals, genes, phenotypes, and diseases to inform molecular mechanisms for environmental health.CTD 四聚体:一个新的在线工具,可从计算上链接经策展的化学品、基因、表型和疾病,为环境健康的分子机制提供信息。
Toxicol Sci. 2023 Sep 28;195(2):155-168. doi: 10.1093/toxsci/kfad069.
7
Comparative Toxicogenomics Database (CTD): update 2023.比较毒理学基因组数据库(CTD):2023 年更新。
Nucleic Acids Res. 2023 Jan 6;51(D1):D1257-D1262. doi: 10.1093/nar/gkac833.
8
Identification of gut metabolites associated with Parkinson's disease using bioinformatic analyses.利用生物信息学分析鉴定与帕金森病相关的肠道代谢物
Front Aging Neurosci. 2022 Jul 26;14:927625. doi: 10.3389/fnagi.2022.927625. eCollection 2022.
9
A Narrative Literature Review of Natural Language Processing Applied to the Occupational Exposome.自然语言处理在职业外核组学中的应用的叙事文献综述。
Int J Environ Res Public Health. 2022 Jul 13;19(14):8544. doi: 10.3390/ijerph19148544.
10
Merging data curation and machine learning to improve nanomedicines.将数据管理和机器学习相结合,以改善纳米医学。
Adv Drug Deliv Rev. 2022 Apr;183:114172. doi: 10.1016/j.addr.2022.114172. Epub 2022 Feb 18.
Nucleic Acids Res. 2015 Jan;43(Database issue):D928-34. doi: 10.1093/nar/gku1004. Epub 2014 Nov 5.
4
The Comparative Toxicogenomics Database's 10th year anniversary: update 2015.比较毒理基因组学数据库成立十周年:2015年更新
Nucleic Acids Res. 2015 Jan;43(Database issue):D914-20. doi: 10.1093/nar/gku935. Epub 2014 Oct 17.
5
Studying the elusive environment in large scale.大规模研究难以捉摸的环境。
JAMA. 2014 Jun 4;311(21):2173-4. doi: 10.1001/jama.2014.4129.
6
Using the bipartite human phenotype network to reveal pleiotropy and epistasis beyond the gene.利用二分人类表型网络揭示基因之外的多效性和上位性。
Pac Symp Biocomput. 2014:188-99.
7
A discussion of exposure science in the 21st century: a vision and a strategy.二十一世纪暴露科学的讨论:愿景与策略。
Environ Health Perspect. 2013 Apr;121(4):405-9. doi: 10.1289/ehp.1206170. Epub 2013 Jan 31.
8
MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database.医学:比较毒理学基因组学数据库中使用的实用疾病词汇。
Database (Oxford). 2012 Mar 20;2012:bar065. doi: 10.1093/database/bar065. Print 2012.
9
Providing the missing link: the exposure science ontology ExO.提供缺失的环节:暴露科学本体论 ExO。
Environ Sci Technol. 2012 Mar 20;46(6):3046-53. doi: 10.1021/es2033857. Epub 2012 Mar 12.
10
The exposome: from concept to utility.暴露组:从概念到应用。
Int J Epidemiol. 2012 Feb;41(1):24-32. doi: 10.1093/ije/dyr236. Epub 2012 Jan 31.