Author

I. Kutschka

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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Cell Biology· 2 Biophysics· 1 Physiology· 1

Signature Assays, Organisms & Methods

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Organism:human· 4 Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Assay:electrophysiology· 2 Approach:benchmark study· 1 Research Focus:benchmarking· 1 Approach:biophysical modeling· 1 Research Focus:cell signaling & trafficking· 1

Frequent Co-Authors

N. Voigt· 3 shared A. V. Pikunov· 2 shared I. R. Efimov· 2 shared R. A. Syunyaev· 2 shared V. Steckmeister· 2 shared A. Borchardt· 1 shared A. Felekary· 1 shared A. Hahn· 1 shared

Activity by Year

2020-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersCell Biology

N. Voigt

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Structure and dynamics of human cardiac fibroblast nanotubes

S. C. Schmid-Herbstritt, G. Stief, J. Greiner, A. Felekary, J. Madl, V. Zeidler, J. Heer, P. Iaconianni, M. Koch, K. Kollmar, C. Walz, S. Nubling, T. Kok, J. R. Pronto, I. Kutschka, , E. A. Rog-Zielinska

This study examines the structure and dynamics of cardiac fibroblast nanotubes in human atrial tissue and cell lines, showing their role in intercellular communication and ECM interaction.

bioRxiv · Nov 28, 2023 · PreprintCell Biology

The role of structural vs cellular remodeling in arrhythmogenesis: personalized computer models of atrial fibrillation.

A. V. Pikunov, R. A. Syunyaev, R. Ali, A. Prakosa, P. M. Boyle, V. Steckmeister, I. Kutschka, E. Rytkin, N. Voigt, N. Trayanova, I. R. Efimov

This study uses personalized computer models to analyze how structural and cellular changes contribute to atrial fibrillation, showing that electrophysiological remodeling influences arrhythmogenic substrate and driver locations.

bioRxiv · May 13, 2023 · PreprintPhysiology

Alteration of myocardial structure and function in RAF1associated Noonan syndrome: Insights from cardiac disease modeling based on patient-derived iPSCs

S. Nakhaei-Rad, F. Bazgir, J. Dahlmann, A. V. Busley, M. Buchholzer, F. Haghighi, A. Schaenzer, A. Hahn, S. Koetter, D. Schanze, R. Anand, F. Funk, A. Borchardt, A. V. Kronenbitter, J. Scheller, , M. R. Ahmadian

This study uses patient-derived iPSCs to model RAF1-associated Noonan syndrome and identifies sarcomere structural abnormalities linked to cardiac dysfunction.

bioRxiv · Jan 22, 2022 · PreprintCell Biology

Personalization of mathematical models of human atrial action potential

A. V. Pikunov, R. A. Syunyaev, V. Steckmeister, I. Kutschka, N. Voigt, I. R. Efimov

The paper benchmarks two electrophysiological models of human atrial myocytes using genetic algorithm fitting of patch-clamp data, showing Maleckar model better captures heart rate dependence of APD and RP.

bioRxiv · Jun 29, 2020 · PreprintBiophysics