In the past few decades, major initiatives have been launched around the world to address chemical safety testing. These efforts aim to innovate and improve the efficacy of existing methods with the long-term goal of developing new risk assessment paradigms. The transcriptomic and toxicological profiling of mammalian cells has resulted in the creation of multiple toxicogenomic datasets and corresponding tools for analysis. To enable easy access and analysis of these valuable toxicogenomic data, we have developed ToxicoDB (toxicodb.ca), a free and open cloud-based platform integrating data from large in vitro toxicogenomic studies, including gene expression profiles of primary human and rat hepatocytes treated with 231 potential toxicants. To efficiently mine these complex toxicogenomic data, ToxicoDB provides users with harmonized chemical annotations, time- and dose-dependent plots of compounds across datasets, as well as the toxicity-related pathway analysis. The data in ToxicoDB have been generated using our open-source R package, ToxicoGx (github.com/bhklab/ToxicoGx). Altogether, ToxicoDB provides a streamlined process for mining highly organized, curated, and accessible toxicogenomic data that can be ultimately applied to preclinical toxicity studies and further our understanding of adverse outcomes.
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http://dx.doi.org/10.1093/nar/gkaa390 | DOI Listing |
Ecotoxicol 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 PDFForensic Sci Int Genet
December 2024
Service de Pharmacologie-Toxicologie et Pharmacovigilance, Centre Hospitalo-Universitaire d'Angers, Angers, France.
Interpreting postmortem concentrations of 3,4-Methylenedioxymethamphetamine (MDMA) remains challenging due to the wide range of reported results and the potential idiosyncratic nature of MDMA toxicity. Consequently, forensic pathologists often rely on a body of evidence to establish conclusions regarding the cause and the manner of death in death involving MDMA. Given these issues, implementing pharmacogenetics' (PGx)' testing may be beneficial.
View Article and Find Full Text PDFGenes Environ
December 2024
Division of Genome Safety Science, National Institute of Health Sciences, 3-25-26, Tonomachi, Kawasaki-Ku, 210-9501, Japan.
Background: Previously, Japanese Environmental Mutagen and Genome Society/Mammalian Mutagenicity Study Group/Toxicogenomics Study Group (JEMS/MMS toxicogenomic study group) proposed 12 genotoxic marker genes (Aen, Bax, Btg2, Ccnf, Ccng1, Cdkn1a, Gdf15, Lrp1, Mbd1, Phlda3, Plk2, and Tubb4b) to discriminate genotoxic hepatocarcinogens (GTHCs) from non-genotoxic hepatocarcinogens (NGTHCs) and non-genotoxic non-hepatocarcinogens (NGTNHCs) in mouse and rat liver using qPCR and RNA-Seq and confirmed in public rat toxicogenomics data, Open TG-GATEs, by principal component analysis (PCA). On the other hand, the U.S.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Environment and Climate Change Canada, Aquatic Contaminant Research Division, 105 McGill, Montreal, QC H1S 1E7, Canada.
The increasing use of nanocomposites has raised concerns about the potential environmental impacts, which are less understood than those observed with individual nanomaterials. The purpose of this study was to investigate the toxicity of nanosilver carbon-walled nanotube (AgNP-CWNT) composites in . The lethal and sublethal toxicity was determined based on the characteristic morphological changes (retraction/loss of tentacles and body disintegration) for this organism.
View Article and Find Full Text PDFHum Reprod Open
November 2024
Departamento de Genética e Instituto de Biotecnología, Centro de Investigación Biomédica (CIBM), Universidad de Granada, Granada, Spain.
Study Question: Can genome-wide genotyping data be analysed using a hypothesis-driven approach to enhance the understanding of the genetic basis of severe spermatogenic failure (SPGF) in male infertility?
Summary Answer: Our findings revealed a significant association between SPGF and the gene and identified three novel genes (, , and ) along with 32 potentially pathogenic rare variants in 30 genes that contribute to this condition.
What Is Known Already: SPGF is a major cause of male infertility, often with an unknown aetiology. SPGF can be due to either multifactorial causes, including both common genetic variants in multiple genes and environmental factors, or highly damaging rare variants.
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