Author

R. Coppini

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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Physiology· 2 Pharmacology & Toxicology· 1

Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:electrophysiology· 2 Approach:experimental assay· 2 Approach:statistical model· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Research Focus:drug response / drug discovery· 1

Frequent Co-Authors

A. A. F. de Vries· 1 shared A. Bueno-Orovio· 1 shared A. Fogli Iseppe· 1 shared A. G. Edwards· 1 shared C. Crocini· 1 shared C. E. Clancy· 1 shared C. Ferraninti· 1 shared C. Palandri· 1 shared

Activity by Year

2021-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 18 mutual co-author links

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1 shared paperPhysiology

A. A. F. de Vries

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Optogenetic confirmation of transverse-tubular membrane excitability in intact cardiac myocytes

M. Scardigli, M. Pasek, L. Santini, C. Palandri, E. Conti, C. Crocini, M. Campione, L. Loew, A. A. F. de Vries, D. Pijnappels, F. Pavone, C. Poggesi, E. Cerbai, R. Coppini, P. Kohl, , L. Sacconi

The paper demonstrates that cardiac myocyte T-tubules can generate action potentials autonomously, distinct from those in the sarcolemma, using an all-optical method.

bioRxiv · Nov 29, 2023 · PreprintPhysiology

Remodelling of potassium currents underlies arrhythmic action potential prolongation under beta-adrenergic stimulation in hypertrophic cardiomyopathy

R. Doste, R. Coppini, A. Bueno-Orovio

This study identifies reduced potassium currents as the main mechanism of action potential prolongation in HCM under beta-adrenergic stimulation, leading to arrhythmogenic risks.

bioRxiv · Mar 1, 2022Physiology

Sex-specific classification of drug-induced Torsade de Pointes susceptibility using cardiac simulations and machine learning

A. Fogli Iseppe, H. Ni, S. Zhu, X. Zhang, R. Coppini, P.-C. Yang, U. Srivatsa, C. E. Clancy, A. G. Edwards, S. Morotti, E. Grandi

This paper develops sex-specific TdP risk classifiers using cardiac simulations and machine learning, finding that male-based models underestimate female TdP risk.

Clinical Pharmacology & Therapeutics · Apr 19, 2021Peer-reviewedPharmacology & Toxicology