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. Author manuscript; available in PMC: 2021 Sep 1.
Published in final edited form as: Toxicol Sci. 2020 Sep 1;177(1):11–26. doi: 10.1093/toxsci/kfaa101

Table 1.

Most similar canonical pathways, GO terms and TXG-MAP modules compared to the six gene expression biomarkers

Biomarker Most similar gene set Pearson R1
Canonical pathways / GO terms
Cytotox biomarker GO cellular response to hydrogen peroxide 0.71
AhR Biomarker REACTOME Genes involved in Xenobiotics 0.48
CAR Biomarker KEGG Glutathione metabolism 0.75
ER Biomarker BIOCARTA Nuclear Receptors in Lipid Metabolism and Toxicity 0.44
Genotoxicity Biomarker BIOCARTA p53 Signaling Pathway 0.56
PPARα Biomarker GO fatty acid catabolic process 0.94
TXG MAP modules (enriched GO term)
Cytotox biomarker Module 18m (cell adhesion) 0.64
AhR Biomarker Module 108 (insulin secretion) 0.50
CAR Biomarker Module 42m (glutathione metabolic process) 0.71
ER Biomarker Module 206 (prostate gland development) 0.53
Genotoxicity Biomarker Module 205 (cellular response to DNA damage) 0.69
PPARα Biomarker Module 17m (fatty acid metabolic process) 0.82
1

Pearson R obtained by comparing biomarker scores for 3528 treatments from TG-GATEs (compound, dose and time) vs. the most similar canonical pathway / GO term or TXG-MAP module, as obtained from the CTox application (Sutherland, et al., 2019a).