Author

Luca Scorrano

University of PaduaORCID 0000-0002-8515-8928Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Assay:ATAC-seq· 1 Assay:bulk RNA-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Alessandra Zulian· 1 shared Altea BonelloiD· 1 shared Camilla BeaniD· 1 shared Carlo ReggianiiD· 1 shared Chiara RampazzoiD· 1 shared Chiara RomualdiiD· 1 shared Enrico Alessio· 1 shared Étienne Hébert-ChatelainiD· 1 shared

Activity by Year

2018-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperGenomics

Alessandra Zulian

Mutual co-authors in cluster

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2 papers

Recent·Most cited

Endothelial RRM2B-dependent mitochondrial DNA signalling drives doxorubicin-cardiotoxicity

SILVIA GRAZIANI, Altea Bonello, Raquel Brañas Casas, Giovanni Risato, Natascia Tiso, Francesco Argenton, Chiara Rampazzo, Satoko Shinjo, Margherita Zamberlan, Nicola Facchinello, Luca Scorrano, Giovanna Pontarin

This study identifies endothelial RRM2B-dependent mitochondrial DNA signaling as a driver of doxorubicin-induced cardiotoxicity and shows that Eltrombopag can prevent it.

bioRxiv · Jan 21, 2026 · PreprintCell Biology

Lipid utilization in skeletal muscle cells is modulated in vitro and in vivo by specific miRNAs

Francesco Chemello, Francesca Grespi, Alessandra Zulian, Pasqua Cancellara, Étienne Hébert-Chatelain, Paolo G. V. Martini, Camilla Bean, Enrico Alessio, Ruggero Ferrazza, Paolo Laveder, Graziano Guella, Carlo Reggiani, Chiara Romualdi, Paolo Bernardi, Luca Scorrano, , Gerolamo Lanfranchi

The paper identifies miR-27a-3p and miR-142-3p as key regulators of lipid utilization in skeletal muscle by analyzing single-cell mRNA and miRNA signatures.

bioRxiv · Mar 23, 2018 · PreprintGenomics