Author

Ksenia J. Groh

Swiss Federal Institute of Aquatic Science and TechnologyORCID 0000-0002-3778-4721Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Molecular Biology· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:database / resource· 1 Research Focus:differential expression· 1 Organism:human· 1 Assay:proteomics· 1 Organism:zebrafish· 1

Frequent Co-Authors

Chenyu SheniD· 1 shared Colette vom BergiD· 1 shared David López RodrígueziD· 1 shared Dorian Rollin· 1 shared Jessica BertoliiD· 1 shared Kristin SchirmeriD· 1 shared Marion ReveliD· 1 shared Marissa B. KosnikiD· 1 shared

Activity by Year

2026-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperPharmacology & Toxicology

Chenyu ShenORCID

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2 papers

Recent·Most cited

Pharmacology & ToxicologyToxicological SciencesPeer-reviewedSep 9, 2026

A high-throughput method to computationally develop candidate adverse outcome pathways in humans: a proof of concept with insecticides and Parkinson Disease

Dorian Rollin, Chenyu Shen, Ksenia J. Groh, Marissa B. Kosnik

This paper develops a high-throughput computational framework to generate candidate adverse outcome pathways (AOPs) using integrated databases, demonstrating its effectiveness with insecticides and Parkinson Disease.

DOI 10.1093/toxsci/kfag122

humanstatistical model

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Molecular BiologyPLoS ONEPeer-reviewedApr 17, 2026

Multiomics profiling of zebrafish embryonic cell line PAC2 across growth phases to assess its relevance for toxicological studies

Mihai-Ovidiu Degeratu, Jessica Bertoli, Nikolai Huwa…·Ksenia J. Groh

The paper profiles PAC2 zebrafish cell line across growth phases using proteomics and transcriptomics to assess its utility for toxicological studies.

DOI 10.1371/journal.pone.0346109

zebrafishproteomics

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