Ten years ago, the Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) was developed out of a need to formalize, harmonize and centralize the information on numerous genes and proteins responding to environmental toxic agents across diverse species. CTD's initial approach was to facilitate comparisons of nucleotide and protein sequences of toxicologically significant genes by curating these sequences and electronically annotating them with chemical terms from their associated references. Since then, however, CTD has vastly expanded its scope to robustly represent a triad of chemical-gene, chemical-disease and gene-disease interactions that are manually curated from the scientific literature by professional biocurators using controlled vocabularies, ontologies and structured notation. Today, CTD includes 24 million toxicogenomic connections relating chemicals/drugs, genes/proteins, diseases, taxa, phenotypes, Gene Ontology annotations, pathways and interaction modules. In this 10th year anniversary update, we outline the evolution of CTD, including our increased data content, new 'Pathway View' visualization tool, enhanced curation practices, pilot chemical-phenotype results and impending exposure data set. The prototype database originally described in our first report has transformed into a sophisticated resource used actively today to help scientists develop and test hypotheses about the etiologies of environmentally influenced diseases.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4384013PMC
http://dx.doi.org/10.1093/nar/gku935DOI Listing

Publication Analysis

Top Keywords

comparative toxicogenomics
8
10th year
8
year anniversary
8
anniversary update
8
toxicogenomics database's
4
database's 10th
4
update 2015
4
2015 ten
4
ten years
4
years ago
4

Similar Publications

Acquired immunodeficiency syndrome is a systemic infectious disease caused by human immunodeficiency virus infection, which could attack the bones and heart. However, the relationship between Nuclear Complex Associated 3 Homolog (NOC3L) and DEAD box helicase 17 (DDX17) and acquired immunodeficiency complicated with viral myocarditis and osteoporosis is unclear. The acquired immune deficiency dataset GSE140713, GSE147162 and the osteoporosis dataset (GSE230665), and viral myocarditis dataset (GSE150392) configuration files were generated from gene expression omnibus.

View Article and Find Full Text PDF

Purpose: In this study, we aimed to study the role of extracellular proteins as biomarkers associated with newly diagnosed Type 1 diabetes (NT1D) diagnosis and prognosis.

Patients And Methods: We retrieved and analyzed the GSE55098 microarray dataset from the Gene Expression Omnibus (GEO) database. Using R software, we screened out the extracellular protein-differentially expressed genes (EP-DEGs) through several protein-related databases.

View Article and Find Full Text PDF

Acute exposure to nitrogen mustard induces rapid nuclear component regulation and delayed stress to exogenous stimuli.

Int Immunopharmacol

January 2025

Clinical and Public Health Research Center, Women and Children's Hospital of Chongqing Medical University, Chongqing, China; Chongqing Health Center for Women and Children, Chongqing, China; Chongqing Research Center for Prevention & Control of Matermal and Child Disease and Public Health, Chongqing, China. Electronic address:

Nitrogen mustard (NM) is a vesicant agent with potent toxic effects on various tissues. Numerous theories have been proposed to explain its toxic mechanisms, yet research on the interconnections among these theories is lacking. This study focuses on analyzing the characteristics of genes involved in NM-induced bronchial injury within the Comparative Toxicogenomics Database (CTD).

View Article and Find Full Text PDF

Surgery remains the primary treatment for solid malignant tumors, but controlling postoperative tumor recurrence and metastasis continues to be a major challenge. Understanding the factors that influence tumor recurrence and metastasis after surgery, as well as the underlying biological mechanisms, is critical. Previous studies suggest that anesthetic agents may increase the risk of tumor recurrence and metastasis in patients with cancer, but the mechanisms underlying these findings remain unclear.

View Article and Find Full Text PDF

Strategies for robust, accurate, and generalizable benchmarking of drug discovery platforms.

bioRxiv

December 2024

Department of Biomedical Informatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA.

Benchmarking is an important step in the improvement, assessment, and comparison of the performance of drug discovery platforms and technologies. We revised the existing benchmarking protocols in our Computational Analysis of Novel Drug Opportunities (CANDO) multiscale therapeutic discovery platform to improve utility and performance. We optimized multiple parameters used in drug candidate prediction and assessment with these updated benchmarking protocols.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!