Author

Giuseppe Torrisi

MRC Centre for Regenerative Medicine

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· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell-cell communication· 2 Research Focus:differential expression· 2 Approach:graph neural network· 2 Organism:human· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Assay:imaging· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

Chris SanderiD· 2 shared Claudia Owczarek· 2 shared Linus J. SchumacheriD· 2 shared Luciana Melina LuqueiD· 2 shared Maddy ParsonsiD· 2 shared Asif KhaniD· 1 shared Assaf ZaritskyiD· 1 shared David T A HardmaniD· 1 shared

Activity by Year

2025-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 39 mutual co-author links

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2 shared papersCell Biology

Chris SanderORCID

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2 papers

Recent·Most cited

Data-modeling the interplay between single cell shape, single cell protein expression, and tissue state

Yuval Tamir, Yuval Bussi, Claudia Owczarek, Luciana Melina Luque, Giuseppe Torrisi, Leor Ariel Rose, Orit Kliper-Gross, Chris Sander, Linus J. Schumacher, Maddy Parsons, Leeat Keren, Assaf Zaritsky

The paper investigates the relationship between cell shape, protein expression, and tissue state using spatial imaging and machine learning, finding a bidirectional link and identifying p53-positive tumor cells.

Cell Reports Methods · May 15, 2026Peer-reviewedCell Biology

Identifying tissue states by spatial protein patterns related to chemotherapy response in triple-negative breast cancer

Luciana Melina Luque, Asif Khan, Giuseppe Torrisi, Tessa D Green, David T A Hardman, Claudia Owczarek, T. A. Phillips, Debora S. Marks, Maddy Parsons, Chris Sander, Linus J. Schumacher

This study develops a computational pipeline for analyzing spatial proteomics data to identify tissue states associated with chemotherapy response in TNBC, revealing distinct spatial patterns and predictive markers.

bioRxiv · Oct 6, 2025 · PreprintCancer Biology