Author

Stephen Ferguson

National Institute of Environmental Health SciencesORCID 0000-0003-3172-8347Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 2 Pharmacology & Toxicology· 2

Signature Assays, Organisms & Methods

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Research Focus:differential expression· 4 Organism:human· 4 Assay:bulk RNA-seq· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1 Research Focus:drug response / drug discovery· 1 Approach:experimental assay· 1

Frequent Co-Authors

Andrea Rowan‐CarrolliD· 2 shared Antony John WilliamsiD· 2 shared Byron Yu-Lin Kuo· 2 shared Carole Lyn YaukiD· 2 shared Ella AtlasiD· 2 shared Ivy D. Moffat· 2 shared Julie Bourdon-Lacombe· 2 shared Karen LeingartneriD· 2 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Andrea Rowan‐CarrollORCID

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4 papers

Recent·Most cited

Pharmacology & ToxicologyArchives of ToxicologyPeer-reviewedOct 31, 2026

Systematic assessment of transcriptomic and phenotypic biological profiling for mechanism-based hazard assessment using target-annotated reference chemicals in renal proximal tubular epithelial cells

Hugo W van Kessel, Marlene Wedler, Palle Steen Helmke…·Bob van de Water

This study evaluates transcriptomic and morphological profiling methods for hazard assessment using reference chemicals in renal cells, finding HTTr provides higher mechanistic resolution than CPP.

DOI 10.1007/s00204-026-04612-8

humanbulk RNA-seq

𝕏 PostBluesky

Pharmacology & ToxicologybioRxivPreprintOct 12, 2026

Cell Painting and machine learning for mechanistic profiling of hepatotoxic botanicals and their constituents

Guillaume Ollitrault, Constance A. Mitchell, Stephen Ferguson…·Jessica Ewald

This study uses Cell Painting and machine learning to identify hepatotoxic botanical constituents and their mechanisms in human hepatocytes.

DOI 10.64898/2026.10.05.756246

humanimaging

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 20, 2020

High-throughput transcriptomics and benchmark concentration modeling for potency ranking of per- and polyfluoroalkyl substances (PFAS) in exposed human liver cell spheroids

A.J.F. Reardon, Andrea Rowan‐Carroll, Stephen Ferguson…·Ella Atlas

The paper uses high-throughput transcriptomics and benchmark concentration modeling to rank PFAS potency in human liver spheroids based on gene expression changes.

5 citations

humanbulk RNA-seq

𝕏 PostBluesky

GenomicsbioRxivPreprintOct 15, 2020

High-throughput transcriptomic evaluation of per- and polyfluoroalkyl substances (PFAS) in primary human liver spheroids to inform read-across

Andrea Rowan‐Carroll, A. Reardon, Karen Leingartner…·Carole Lyn Yauk

This study evaluates the transcriptomic effects of four PFAS in human liver spheroids to compare their toxicity and inform risk assessment.

3 citations

humanbulk RNA-seq

𝕏 PostBluesky