Author

Massimo Bonora

University of FerraraORCID 0000-0002-5752-3318Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Bioinformatics· 1 Cancer Biology· 1 Cell Biology· 1

Signature Assays, Organisms & Methods

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Assay:bulk RNA-seq· 2 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Approach:biophysical modeling· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

Diego ChianeseiD· 2 shared Paolo PintoniD· 2 shared Andrea Francesco BenvenutoiD· 1 shared Andrea RaimondiiD· 1 shared Catherine BrenneriD· 1 shared Chiara TordonatoiD· 1 shared Christine PéchouxiD· 1 shared Clara NahmiasiD· 1 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 29 mutual co-author links

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2 shared papersCell Biology

Diego ChianeseORCID

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3 papers

Recent·Most cited

Decoding EGFR ligand bias through an endocytic organelle platform

Gorana Jendrisek, D. Mesa, Stefano Freddi, Giorgia Miloro, Chiara Tordonato, Andrea Francesco Benvenuto, Micaela Quarto, Margherita Caputo, Andrea Raimondi, Giusi Caldieri, Elisa Barbieri, Simone Pelicci, Mario Faretta, Maria Grazia Malabarba, Diego Chianese, , Sara Sigismund

The paper identifies a RAC1-PLCγ2 axis that decodes EGFR ligand bias by linking receptor trafficking to metabolic programs supporting cell migration.

bioRxiv · Aug 4, 2026 · PreprintCell Biology

Connecting mitochondrial metabolism and mitotic fidelity to control vulnerability of high grade serous ovarian cancer patients to taxane-based chemotherapy

Hadia Moindjie, Morgane Morin, Evanthia Pangou, Diego Chianese, Cynthia Seiler, Sylvie Rodrigues-Ferreira, Maria M. Haykal, Christine Péchoux, Florent Dingli, Damarys Loew, Yann Kieffer, Géraldine Gentric, Patricia Pautier, Philippe Dessen, Rafael José Argüello, , Clara Nahmias

This paper identifies syntabulin as a determinant of chemosensitivity in high-grade serous ovarian cancer by linking mitochondrial metabolism and mitotic fidelity.

bioRxiv · Jan 8, 2026 · PreprintCancer Biology

Dissect mitochondrial activity by transcriptome data with mitology R package

Stefania Pirrotta, Massimo Bonora, Enrica Calura

The paper introduces the mitology R package to specifically analyze mitochondrial activity using transcriptomic data, including single-cell and spatial transcriptomics.

bioRxiv · Nov 27, 2024 · PreprintBioinformatics