Dr D.G.J. Jennen

Goldring, C. E., Russomanno, G., Pin, C., Trairatphisan, P., Beattie, K. A., Fisher, C. P., Pinero, J., Brennan, R. J., Clausznitzer, D., Copple, I. M., de Kok, T. M., Duckworth, C. A., Furlong, L. I., Fuzi, B., Gabor, A., Gall, L., Hengstler, J., Hermjakob, H., Hunter, F., ... Laplanche, L. (2025). Quantitative systems toxicology: modelling to mechanistically understand and predict drug safety. Nature Reviews Drug Discovery. https://doi.org/10.1038/s41573-025-01308-z

Jiang, J., van Ertvelde, J., Ertaylan, G., Peeters, R., Jennen, D., de Kok, T., & Vinken, M. (2025). Leveraging artificial intelligence and machine learning for predicting chemical-induced cholestasis. Toxicology Letters, 411. https://doi.org/10.1016/j.toxlet.2025.07.129

Bwanya, B., Lodhi, S., de Kok, T. M., Ladeira, L., Verheijen, M. C., Jennen, D. G., & Caiment, F. (2025). Machine learning classification of steatogenic compounds using toxicogenomics profiles. Toxicology, 517, Article 154237. https://doi.org/10.1016/j.tox.2025.154237

Li, H.-H., Aubrecht, J., Doktorova, T. Y., Jennen, D., Corton, J. C., Froetschl, R., Mezencev, R., & Yauk, C. L. (2025). Review of Transcriptomic Biomarkers That Predict In Vitro Genotoxicity in Human Cell Lines. Environmental and Molecular Mutagenesis. Advance online publication. https://doi.org/10.1002/em.70004

Froetschl, R., Corton, J. C., Li, H., Aubrecht, J., Auerbach, S. S., Caiment, F., Doktorova, T. Y., Fujita, Y., Jennen, D., Koyama, N., Meier, M. J., Mezencev, R., Recio, L., Suzuki, T., & Yauk, C. L. (2025). Consensus findings of an International Workshops on Genotoxicity Testing workshop on using transcriptomic biomarkers to predict genotoxicity. Environmental and Molecular Mutagenesis, Article 22645. Advance online publication. https://doi.org/10.1002/em.22645

Meier, M. J., Caiment, F., Corton, J. C., Froetschl, R., Fujita, Y., Jennen, D., Mezencev, R., & Yauk, C. (2024). Outcome of IWGT workshop on transcriptomic biomarkers for genotoxicity: Key considerations for bioinformatics. Environmental and Molecular Mutagenesis. Advance online publication. https://doi.org/10.1002/em.22644

Diemar, M. G., Vinken, M., Teunis, M., Krul, C. A. M., Busquet, F., Zajac, J. D., Kandarova, H., Corvi, R., Rossi, M. Z., Kharina, A., Bryndum, L. S., Santillo, M., Bloch, D., Kucheryavenko, O., Panagiotakos, D., Rogiers, V., Beekhuijzen, M., Giusti, A., Najjar, A., ... Roggen, E. L. (2024). Report of the First ONTOX Stakeholder Network Meeting: Digging Under the Surface of ONTOX Together With the Stakeholders. ATLA-Alternatives to laboratory animals, 52(2), 117-131. https://doi.org/10.1177/02611929231225730

Donovan, S. D. O., Cavill, R., Wimmenauer, F., Lukas, A., Stumm, T., Smirnov, E., Lenz, M., Ertaylan, G., Jennen, D. G. J., van Riel, N. A. W., Driessens, K., Peeters, R. L. M., & de Kok, T. M. C. M. (2023). Application of transfer learning to predict drug-induced human in vivo gene expression changes using rat in vitro and in vivo data. PLOS ONE, 18(11), Article e0292030. https://doi.org/10.1371/journal.pone.0292030

Jiang, J., van Ertvelde, J., Ertaylan, G., Peeters, R., Jennen, D., de Kok, T. M., & Vinken, M. (2023). Unraveling the mechanisms underlying drug-induced cholestatic liver injury: identifying key genes using machine learning techniques on human in vitro data sets. Archives of Toxicology, 97(11), 2969-2981. https://doi.org/10.1007/s00204-023-03583-4

Bischoff, N. S., Proquin, H., Jetten, M. J., Schrooders, Y., Jonkhout, M. C. M., Briedé, J. J., van Breda, S. G., Jennen, D. G. J., Medina-Reyes, E. I., Delgado-Buenrostro, N. L., Chirino, Y. I., van Loveren, H., & de Kok, T. M. (2023). Correction: Bischoff et al. The Effects of the Food Additive Titanium Dioxide (E171) on Tumor Formation and Gene Expression in the Colon of a Transgenic Mouse Model for Colorectal Cancer. Nanomaterials 2022, 12, 1256. Nanomaterials, 13(21), Article 2888. https://doi.org/10.3390/nano13212888