Author

Ryo Okuda

F. Hoffmann-La Roche AG

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

Biology Disciplines

Click to filter author papers

Cancer Biology· 2 Cell Biology· 1 Developmental Biology· 1 Pathology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 5 Research Focus:cell type annotation· 4 Research Focus:differential expression· 4 Approach:experimental assay· 3 Assay:scRNA-seq· 3 Research Focus:cell-cell communication· 2 Research Focus:clustering· 2 Assay:imaging· 2

Frequent Co-Authors

J. Gray CampiD· 5 shared Bruno Gjeta· 3 shared Irineja Cubela· 3 shared Barbara TreutleiniD· 2 shared Bilgenaz StolliD· 2 shared Christoph HarmeliD· 2 shared Elisa D’ArcangeloiD· 2 shared Jonas M. NikoloffiD· 2 shared

Activity by Year

2025-2026 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

5 shared papersCancer Biology

J. Gray CampORCID

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

High-throughput histopathology for complex in vitro models

Marius F. Harter, Elisa D’Arcangelo, Julien Aubert, Barbora Lavickova, Charles A. Havnar, Bilgenaz Stoll, Irineja Cubela, Adrian M. Filip, Laura Gaspa-Toneu, Julian Scherer, Evdoxia Karagkiozi, Jean-Samuel Dupré, Rubén López-Sandoval, Rebecca Hsia, Leah M. Norona, , Nikolche Gjorevski

This paper introduces a high-throughput histopathology workflow for complex in vitro models using 3D-printed histomolds, enabling efficient processing and analysis of multiple samples.

Cell Reports Methods · Apr 23, 2026Peer-reviewedPathology

An integrated platform for high-throughput phenospace learning of 3D multilineage organoid systems

Ryo Okuda, Christoph Harmel, Quan Xu, Héloïse Mary, Philip Schulz, Linda Steinacher, Elisa D’Arcangelo, Bruno Gjeta, Marina Signer, Irineja Cubela, Marc Bickle, Matthias P. Lütolf, Lauriane Cabon, Ilya Lukonin, J. Gray Camp

The paper introduces a platform for high-throughput spatial phenotyping of multilineage organoids, identifying pathway modulators and treatment strategies for PDAC.

bioRxiv · Nov 27, 2025 · PreprintCancer Biology

Integrated cell atlas and tumoroids chart pancreatic cancer therapeutic targets

Quan Xu, Ryo Okuda, Bruno Gjeta, Christoph Harmel, Marina Signer, Matilde Lucioli, Małgorzata Santel, Makiko Seimiya, Cinzia Esposito, Karolina Guja-Jarosz, Ashley Maynard, Soichiro Morinaga, Yohei Miyagi, Tomoyuki Yamaguchi, Yasuharu Ueno, , J. Gray Camp

The paper integrates single-cell transcriptomes and spatial transcriptomics to identify therapeutic targets in pancreatic cancer by analyzing cell states and ligand-receptor interactions in tumoroids.

bioRxiv · Sep 30, 2025 · PreprintCancer Biology

Fate and state transitions during human blood vessel organoid development

Marina Tsvetomilova Nikolova, Zhisong He, Makiko Seimiya, Gustav Jonsson, Wuji Cao, Ryo Okuda, Reiner Wimmer, Ryoko Okamoto, Jonas M. Nikoloff, Petra Stephanie Dittrich, Josef Martin Penninger, J. Gray Camp, Barbara Treutlein

This study maps the cell state transitions during human blood vessel organoid development using single-cell transcriptomics and identifies key regulators and disease associations.

Cell · Apr 17, 2025Peer-reviewedDevelopmental Biology

Human Lung Alveolar Model with an Autologous Innate and Adaptive Immune Compartment

Linda Steinacher, Bruno Gjeta, Marisa Pimentel Mendes, Floriana Cremasco, Irineja Cubela, Marina Bellavista, Laura Gaspa-Toneu, Luisa Lauer, Qianhui Yu, Ryo Okuda, Barzin Y. Nabet, Velimir Gayevskiy, Michel Siegel, Axel Ducret, Evodie Lassalle, , Lauriane Cabon

This paper develops human lung alveolar immuno-organoids with autologous immune cells to model immune-epithelial interactions and study inflammation-related pulmonary side effects.

bioRxiv · Feb 27, 2025 · PreprintCell Biology