Author

Gioele Montis

Biospyder (United States)

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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Genomics· 1 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:clustering· 2 Assay:scRNA-seq· 2 Approach:deep learning· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1

Frequent Co-Authors

Bruce E. SeligmanniD· 2 shared Dennis J. EastburniD· 2 shared Joel McComb· 2 shared Kevin S. WhiteiD· 2 shared Salvatore CamioloiD· 2 shared Brian N. ChorleyiD· 1 shared Brian Robinette· 1 shared Bryant A. ChambersiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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Curved chords = mutual co-authorship

2 shared papersPharmacology & Toxicology

Bruce E. SeligmannORCID

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Author profile →

2 papers

Recent·Most cited

Decoding Cellular Stress States for Toxicology Using Single-Cell Transcriptomics

Imran Shah, David A. Gallegos, Brian Robinette, Bryant A. Chambers, Dennis J. Eastburn, Douglas A. Bell, Michelle R. Campbell, Suzanne N. Martos, Salvatore Camiolo, Kevin S. White, Nicole Martin, Gioele Montis, Joel McComb, Bruce E. Seligmann, Brian N. Chorley

The paper uses single-cell transcriptomics to analyze stress responses in HepaRG cells exposed to various chemicals, identifying distinct phenotypic groups and dynamic shifts in cellular subpopulations.

NAM journal. · Jan 1, 2025Peer-reviewedPharmacology & Toxicology

High-throughput gene expression analysis with TempO-LINC sensitively resolves complex brain, lung and kidney heterogeneity at single-cell resolution

Dennis J. Eastburn, Kevin S. White, Nathan D. Jayne, Salvatore Camiolo, Gioele Montis, Seungeun Ha, Kendall G. Watson, Joanne M. Yeakley, Joel McComb, Bruce E. Seligmann

This paper introduces TempO-LINC, a high-throughput single-cell transcriptomic platform that resolves complex tissue heterogeneity in brain, lung, and kidney tissues with high sensitivity and scalability.

Scientific Reports · Dec 28, 2024Peer-reviewedGenomics