Author

L. Sala

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· 3 Cell Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 4 Organism:human· 4 Research Focus:cell type annotation· 3 Assay:electrophysiology· 3 Research Focus:differential expression· 2 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1

Frequent Co-Authors

B. J. van Meer· 2 shared C. Grandela· 2 shared C. L. Mummery· 2 shared L. Crotti· 2 shared L. G. J. Tertoolen· 2 shared P. J. Schwartz· 2 shared V. Leonov· 2 shared A. Hansen· 1 shared

Activity by Year

2017-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 20 mutual co-author links

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2 shared papersCell Biology

B. J. van Meer

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Batch Action PoTential Analyser (BAPTA): an open source tool for automated high throughput analysis of cardiac action potentials

V. Leonov, E. Torre, C. Ronchi, L. Crotti, P. J. Schwartz, M. Rocchetti, A. Zaza, L. Sala

BAPTA automates cardiac action potential analysis, improving throughput and reproducibility across multiple species and conditions.

bioRxiv · Mar 1, 2023 · PreprintPhysiology

Use of hiPSC-derived cardiomyocytes to rule out proarrhythmic effects of drugs: the case of hydroxychloroquine in COVID-19

L. Sala, V. Leonov, M. Mura, A. Moretti, L. Crotti, M. Gnecchi, P. J. Schwartz

This study uses hiPSC-derived cardiomyocytes to assess the proarrhythmic effects of hydroxychloroquine in healthy and LQTS patients, showing differential susceptibility to drug-induced arrhythmias.

bioRxiv · Jun 25, 2021Physiology

Isogenic sets of hiPSC-CMs harboring KCNH2 mutations capture location-related phenotypic differences

K. O. Brandao, L. van den Brink, D. C. Miller, C. Grandela, B. J. van Meer, M. Mol, L. G. J. Tertoolen, C. L. Mummery, L. Sala, A. O. Verkerk, R. P. Davis

The paper uses hiPSC-CMs with KCNH2 mutations to show phenotypic differences based on mutation location, supporting their use in risk stratification for LQT2.

Stem Cell Reports · Nov 1, 2020Peer-reviewedCell Biology

Versatile open software to quantify cardiomyocyte and cardiac muscle contraction in vitro and in vivo

L. Sala, B. J. van Meer, L. G. J. Tertoolen, J. Bakkers, M. Bellin, R. Davis, C. Denning, M. A. E. Dieben, T. Eschenhagen, E. Giacomelli, C. Grandela, A. Hansen, E. R. Holman, M. R. M. Jongbloed, S. M. Kamel, , F. L. Burton

MUSCLEMOTION quantifies cardiac contraction in vitro and in vivo, providing reliable pharmacological and disease phenotype data across multiple models.

bioRxiv · Jul 8, 2017Physiology