The Comparative Toxicogenomics Database (CTD; http://ctdbase.org/) provides information about interactions between environmental chemicals and gene products and their relationships to diseases. Chemical-gene, chemical-disease and gene-disease interactions manually curated from the literature are integrated to generate expanded networks and predict many novel associations between different data types. CTD now contains over 15 million toxicogenomic relationships. To navigate this sea of data, we added several new features, including DiseaseComps (which finds comparable diseases that share toxicogenomic profiles), statistical scoring for inferred gene-disease and pathway-chemical relationships, filtering options for several tools to refine user analysis and our new Gene Set Enricher (which provides biological annotations that are enriched for gene sets). To improve data visualization, we added a Cytoscape Web view to our ChemComps feature, included color-coded interactions and created a 'slim list' for our MEDIC disease vocabulary (allowing diseases to be grouped for meta-analysis, visualization and better data management). CTD continues to promote interoperability with external databases by providing content and cross-links to their sites. Together, this wealth of expanded chemical-gene-disease data, combined with novel ways to analyze and view content, continues to help users generate testable hypotheses about the molecular mechanisms of environmental diseases.
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http://dx.doi.org/10.1093/nar/gks994 | DOI Listing |
Medicine (Baltimore)
November 2024
Department of Orthopaedics, Beijing Ditan Hospital Affiliated to Capital Medical University, Chaoyang District, Beijing, China.
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 PDFPeerJ
January 2025
Department of Endocrinology, Sir Run Run Hospital, Nanjing Medical University, Nanjing, Jiangsu Province, China.
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.
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 PDFEcotoxicol Environ Saf
January 2025
Department of Anesthesiology, Fudan University Shanghai Cancer Center, Shanghai 200032, China. Electronic address:
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 PDFbioRxiv
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.
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