» Articles » PMID: 33068428

Comparative Toxicogenomics Database (CTD): Update 2021

Overview
Specialty Biochemistry
Date 2020 Oct 17
PMID 33068428
Citations 417
Authors
Affiliations
Soon will be listed here.
Abstract

The public Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) is an innovative digital ecosystem that relates toxicological information for chemicals, genes, phenotypes, diseases, and exposures to advance understanding about human health. Literature-based, manually curated interactions are integrated to create a knowledgebase that harmonizes cross-species heterogeneous data for chemical exposures and their biological repercussions. In this biennial update, we report a 20% increase in CTD curated content and now provide 45 million toxicogenomic relationships for over 16 300 chemicals, 51 300 genes, 5500 phenotypes, 7200 diseases and 163 000 exposure events, from 600 comparative species. Furthermore, we increase the functionality of chemical-phenotype content with new data-tabs on CTD Disease pages (to help fill in knowledge gaps for environmental health) and new phenotype search parameters (for Batch Query and Venn analysis tools). As well, we introduce new CTD Anatomy pages that allow users to uniquely explore and analyze chemical-phenotype interactions from an anatomical perspective. Finally, we have enhanced CTD Chemical pages with new literature-based chemical synonyms (to improve querying) and added 1600 amino acid-based compounds (to increase chemical landscape). Together, these updates continue to augment CTD as a powerful resource for generating testable hypotheses about the etiologies and molecular mechanisms underlying environmentally influenced diseases.

Citing Articles

CTSO and HLA-DQA1 as biomarkers in sepsis-associated ARDS: insights from RNA sequencing and immune infiltration analysis.

Shen Y, Yao Y, Li H, Li Y, Hu Y BMC Infect Dis. 2025; 25(1):326.

PMID: 40055592 PMC: 11887161. DOI: 10.1186/s12879-025-10726-8.


TAME 2.0: expanding and improving online data science training for environmental health research.

Payton A, Hickman E, Chappel J, Roell K, Koval L, Eaves L Front Toxicol. 2025; 7:1535098.

PMID: 40012886 PMC: 11860945. DOI: 10.3389/ftox.2025.1535098.


Identification and functional analysis of energy metabolism and pyroptosis-related genes in diabetic nephropathy.

He S, Ye J, Wang Y, Xie L, Liu S, Chen Q Heliyon. 2025; 11(3):e42201.

PMID: 39995931 PMC: 11848092. DOI: 10.1016/j.heliyon.2025.e42201.


UHPLC-Q Exactive-Orbitrap-MS and network pharmacology analyses to investigate the mechanism by which Danggui-Shaoyao-San affects 27-OHC-induced cell damage in SH-SY5Y/C6 coculture.

Huang Y, Zhai Y, Zhao D, Wu M, Shen Q, Zhao W BMC Complement Med Ther. 2025; 25(1):75.

PMID: 39994624 PMC: 11849221. DOI: 10.1186/s12906-025-04751-y.


Network pharmacology unveils the intricate molecular landscape of Chrysin in breast cancer therapeutics.

Ma J, Liu P, Pan L Discov Oncol. 2025; 16(1):228.

PMID: 39987541 PMC: 11847756. DOI: 10.1007/s12672-025-01951-3.


References
1.
Davis A, Wiegers T, Grondin C, Johnson R, Sciaky D, Wiegers J . Leveraging the Comparative Toxicogenomics Database to Fill in Knowledge Gaps for Environmental Health: A Test Case for Air Pollution-induced Cardiovascular Disease. Toxicol Sci. 2020; 177(2):392-404. PMC: 7548289. DOI: 10.1093/toxsci/kfaa113. View

2.
Davis A, Wiegers T, Wiegers J, Johnson R, Sciaky D, Grondin C . Chemical-Induced Phenotypes at CTD Help Inform the Predisease State and Construct Adverse Outcome Pathways. Toxicol Sci. 2018; 165(1):145-156. PMC: 6111787. DOI: 10.1093/toxsci/kfy131. View

3.
Davis A, Wiegers T, Rosenstein M, Mattingly C . MEDIC: a practical disease vocabulary used at the Comparative Toxicogenomics Database. Database (Oxford). 2012; 2012:bar065. PMC: 3308155. DOI: 10.1093/database/bar065. View

4.
Kanehisa M, Sato Y, Furumichi M, Morishima K, Tanabe M . New approach for understanding genome variations in KEGG. Nucleic Acids Res. 2018; 47(D1):D590-D595. PMC: 6324070. DOI: 10.1093/nar/gky962. View

5.
Davis A, Wiegers T, King B, Wiegers J, Grondin C, Sciaky D . Generating Gene Ontology-Disease Inferences to Explore Mechanisms of Human Disease at the Comparative Toxicogenomics Database. PLoS One. 2016; 11(5):e0155530. PMC: 4865041. DOI: 10.1371/journal.pone.0155530. View