Author

S. J. Kunnen

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Pharmacology & Toxicology· 4

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 4 Approach:statistical model· 4 Research Focus:differential expression· 3 Research Focus:gene regulatory network inference· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Organism:rat· 2 Approach:deep learning· 1

Frequent Co-Authors

B. van de Water· 3 shared J. L. Stevens· 3 shared C. P. Fisher· 2 shared G. Callegaro· 2 shared J. J. Sutherland· 2 shared J. Saez-Rodriguez· 2 shared P. Trairatphisan· 2 shared A. H. Rehman· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 33 mutual co-author links

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3 shared papersPharmacology & Toxicology

B. van de Water

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4 papers

Recent·Most cited

Utilizing gene co-expression networks with the rat kidney TXG-MAPr tool to enhance safety assessment, biomarker identification and human translation

S. J. Kunnen, G. Callegaro, J. J. Sutherland, P. Trairatphisan, H. van Kessel, L. S. Wijaya, G. Chung, K. Pye, K. M. Goldstein, C. R. Teague, C. P. Fisher, J. Saez-Rodriguez, C. Brown, S. A. Elmore, K. M. Heinz-Taheny, , B. van de Water

This study builds gene co-expression networks from rat kidney toxicogenomics data and integrates them into a web tool to improve safety assessment and biomarker identification for drug development.

bioRxiv · Nov 3, 2023 · PreprintPharmacology & Toxicology

Qualitative and Quantitative Concentration-Response Modelling of Gene Co-expression Networks to Unlock Hepatotoxic Mechanisms for Next Generation Chemical Safety Assessment

S. J. Kunnen, E. Arnesdotter, C. T. Willenbockel, M. Vinken, B. van de Water

This study uses concentration-response modelling of gene co-expression networks in human hepatocyte cultures to identify transcriptomics points of departure for hepatotoxicity, aiding in chemical safety assessment.

bioRxiv · Feb 1, 2023Pharmacology & Toxicology

A systems approach reveals species differences in hepatic stress response capacity

G. Russomanno, R. Sison-Young, L. A. Livoti, H. Coghlan, R. E. Jenkins, S. J. Kunnen, C. P. Fisher, D. Reddyhoff, I. Gardner, A. H. Rehman, S. W. Fenwick, A. R. Jones, G. Vermeil De Conchard, G. Simonin, H. Bertheux, , I. M. Copple

The paper compares hepatic stress responses in mice and rats using pharmacokinetic modeling and omics data, finding greater liver injury in mice despite similar toxicant exposure.

bioRxiv · Apr 13, 2022Pharmacology & Toxicology

The human hepatocyte TXG-MAPr: WGCNA transcriptomic modules to support mechanism-based risk assessment

G. Callegaro, S. J. Kunnen, P. Trairatphisan, S. Grosdidier, M. Niemeijer, W. den Hollander, E. Guney, J. P. Gonzalez, L. Furlong, Y. W. Webster, J. Saez-Rodriguez, J. J. Sutherland, J. Mollon, J. L. Stevens, B. van de Water

The paper introduces TXG-MAPr, a tool for analyzing toxicogenomic data using WGCNA to identify stress response modules across species and platforms.

Archives of Toxicology · Oct 9, 2021Peer-reviewedPharmacology & Toxicology