Author

Stephanie Tissot

Centre Hospitalier Universitaire Vaudois

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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Cancer Biology· 3 Immunology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Organism:human· 3 Approach:statistical model· 3 Approach:deep learning· 2 Approach:experimental assay· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

George CoukosiD· 2 shared Jonathan BaciD· 2 shared Julien DorieriD· 2 shared Krisztián HomicskóiD· 2 shared Marina Alexandre Gaveta· 2 shared Raphaël GottardoiD· 2 shared Sylvie André· 2 shared Sylvie RusakiewicziD· 2 shared

Activity by Year

2025-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersCancer Biology

George CoukosORCID

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Author profile →

4 papers

Recent·Most cited

From Transcripts to Cells: Dissecting Sensitivity, Signal Contamination, and Specificity in Xenium Spatial Transcriptomics

Mariia Bilous, Daria Buszta, Jonathan Bac, Senbai Kang, Yixing Dong, Stephanie Tissot, Sylvie André, Marina Alexandre Gaveta, Christel Voize, Solange Peters, Krisztián Homicskó, Raphaël Gottardo

The paper evaluates Xenium spatial transcriptomics performance, identifies technical limitations, and introduces SPLIT to improve signal purity and cell-type resolution.

Nature Methods · Apr 30, 2026Peer-reviewedCancer Biology

Deciphering spatial heterogeneity of patient-derived organoids of colorectal tumors for drug discovery

Maxim N. Norkin, Jonathan Bac, Louis McConnell, Christophe Cisarovsky, Marina Alexandre Gaveta, Sylvie André, Simon Tanaka, Antonia Digklia, Sylke Hoehnel, Stephanie Tissot, Joerg Huelsken, Marianna Rapsomaniki, Raphaël Gottardo, Krisztián Homicskó

This study develops a platform to analyze spatial heterogeneity in colorectal tumor organoids using spatial transcriptomics and validates it against single-cell and tumor spatial data.

bioRxiv · Feb 13, 2026 · PreprintCancer Biology

Multi-modal image analysis for large scale cancer tissue studies within IMMUcan

Nils Eling, Julien Dorier, Sylvie Rusakiewicz, Robin Liechti, P Devanand, Michelle Daniel, Jonas Windhager, Bruno Palau Fernandez, Sophie Déglise, Lucie Despland, Abdelkader Benyagoub, Marcin Możejko, Dawid Uchal, Ewa Szczurek, Alexander Loboda, , Daniel Schulz

The paper presents two workflows for analyzing multiplexed imaging data from cancer tissues, applied to over 10,000 samples from 2500 patients, enabling large-scale tumor microenvironment studies.

Cell Reports Methods · Sep 1, 2025Peer-reviewedCancer Biology

Myeloid cell networks determine reinstatement of original immune environments in recurrent ovarian cancer

Eleonora Ghisoni, Fabrizio Benedetti, Aspram Minasyan, Mathieu Desbuisson, Paula Cunnea, Alizée J Grimm, Noémie Fahr, Charlotte Capt, Nicolas Rayroux, Flavia De Carlo, D. C. Gulhan, Julien Dagher, David Barras, Matteo Morotti, Juan A. Marín‐Jiménez, , Denarda Dangaj Laniti

The paper identifies immune phenotypes and myeloid cell networks in recurrent ovarian cancer that influence prognosis and immune environment reinstatement.

Cancer Cell · Jul 31, 2025Peer-reviewedImmunology