National Institute of Environmental Health Sciences, Durham, North Carolina, USA.
Universiteit Leiden, Leiden, The Netherlands.
Toxicol Pathol. 2023 Oct;51(7-8):470-481. doi: 10.1177/01926233241227942. Epub 2024 Jan 30.
Toxicogenomic technologies query the genome, transcriptome, proteome, and the epigenome in a variety of toxicological conditions. Due to practical considerations related to the dynamic range of the assays, sensitivity, cost, and technological limitations, transcriptomic approaches are predominantly used in toxicogenomics. Toxicogenomics is being used to understand the mechanisms of toxicity and carcinogenicity, evaluate the translational relevance of toxicological responses from in vivo and in vitro models, and identify predictive biomarkers of disease and exposure. In this session, a brief overview of various transcriptomic technologies and practical considerations related to experimental design was provided. The advantages of gene network analyses to define mechanisms were also discussed. An assessment of the utility of toxicogenomic technologies in the environmental and pharmaceutical space showed that these technologies are being increasingly used to gain mechanistic insights and determining the translational relevance of adverse findings. Within the environmental toxicology area, there is a broader regulatory consideration of benchmark doses derived from toxicogenomics data. In contrast, these approaches are mainly used for internal decision-making in pharmaceutical development. Finally, the development and application of toxicogenomic signatures for prediction of apical endpoints of regulatory concern continues to be area of intense research.
毒理基因组学技术在各种毒理学条件下查询基因组、转录组、蛋白质组和表观基因组。由于与测定的动态范围、灵敏度、成本和技术限制有关的实际考虑因素,转录组学方法在毒理基因组学中占主导地位。毒理基因组学被用于了解毒性和致癌性的机制,评估体内和体外模型中毒理学反应的转化相关性,并识别疾病和暴露的预测性生物标志物。在本次会议上,简要介绍了各种转录组学技术和与实验设计相关的实际考虑因素。还讨论了基因网络分析在定义机制方面的优势。对毒理基因组学技术在环境和制药领域的应用进行评估表明,这些技术越来越多地被用于获得机制见解,并确定不良发现的转化相关性。在环境毒理学领域,更多地从毒理基因组学数据中考虑基准剂量的监管考虑因素。相比之下,这些方法主要用于药物开发的内部决策。最后,毒理基因组学特征的开发和应用继续成为监管关注的顶端终点预测的研究热点。