US EPA

6330103 

Journal Article 

Review 

Toxicogenomics: A 2020 Vision 

Liu, Z; Huang, R; Roberts, R; Tong, W 

2019 

1 

Trends in Pharmacological Sciences
ISSN: 0165-6147 

40 

2 

92-103 

English 

30594306 

10.1016/j.tips.2018.12.001 

WOS:000456700700003 

Toxicogenomics (TGx) has contributed significantly to toxicology and now has great potential to support moves towards animal-free approaches in regulatory decision making. Here, we discuss in vitro TGx systems and their potential impact on risk assessment. We raise awareness of the rapid advancement of genomics technologies, which generates novel genomics features essential for enhanced risk assessment. We specifically emphasize the importance of reproducibility in utilizing TGx in the regulatory setting. We also highlight the role of machine learning (particularly deep learning) in developing TGx-based predictive models. Lastly, we touch on the topics of how TGx approaches could facilitate adverse outcome pathways (AOP) development and enhance read-across strategies to further regulatory application. Finally, we summarize current efforts to develop TGx for risk assessment and set out remaining challenges.