Author

J. L. Stevens

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

Biology Disciplines

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Pharmacology & Toxicology· 5

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 5 Approach:statistical model· 5 Research Focus:cell type annotation· 4 Research Focus:differential expression· 4 Research Focus:gene regulatory network inference· 4 Organism:rat· 3 Organism:human· 2 Approach:deep learning· 1

Frequent Co-Authors

G. Callegaro· 3 shared J. Saez-Rodriguez· 3 shared P. Trairatphisan· 3 shared S. J. Kunnen· 3 shared B. van de Water· 2 shared C. P. Fisher· 2 shared D. Clausznitzer· 2 shared J. J. Sutherland· 2 shared

Activity by Year

2021-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

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3 shared papersPharmacology & Toxicology

G. Callegaro

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Author profile →

5 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

A Network-based Transcriptomic Landscape of HepG2 cells to Uncover Causal Gene Cytotoxicity Interactions Underlying Drug-Induced Liver Injury

L. Wijaya, A. Gabor, I. Pot, L. v. der Have, J. Saez-Rodriguez, J. L. Stevens, S. E. Le Devedec, G. Callegaro, B. v. de Water

This study uses network-based transcriptomic analysis of HepG2 cells exposed to DILI compounds to identify causally linked genes involved in drug-induced liver injury.

bioRxiv · Jan 16, 2023 · PreprintPharmacology & Toxicology

Spatio-temporal transcriptomic analysis reveals distinct nephrotoxicity, DNA damage and regeneration response after cisplatin

L. S. Wijaya, S. Kunnen, P. Trairatphisan, C. Fisher, M. Crosby, K. Schaefer, K. Bodie, E. Vaughan, L. Breidenbach, T. Reich, D. Clausznitzer, S. A. Bonnet, S. Zheng, C. Pont, J. L. Stevens, , B. v. d. Water

This study uses spatial transcriptomics to analyze cisplatin-induced nephrotoxicity and regeneration in different kidney segments, identifying distinct molecular responses and biomarkers.

bioRxiv · Jan 3, 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.

bioRxiv · May 17, 2021Pharmacology & Toxicology