Author

P. M. Boyle

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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Bioengineering· 2 Physiology· 1

Signature Assays, Organisms & Methods

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Assay:electrophysiology· 2 Approach:experimental assay· 2 Approach:biophysical modeling· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Organism:human· 1 Assay:imaging· 1 Research Focus:synaptic & neural circuits· 1

Frequent Co-Authors

A. Asencio· 1 shared A. Berndt· 1 shared A. Klimas· 1 shared A. Moghadasi· 1 shared A. Nguyen· 1 shared A. Prakosa· 1 shared A. V. Pikunov· 1 shared A. Williams· 1 shared

Activity by Year

2017-2024 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 22 mutual co-author links

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1 shared paperBioengineering

A. Asencio

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Author profile →

3 papers

Recent·Most cited

Far-red and sensitive sensor for monitoring real-time H2O2 dynamics with subcellular resolution and inmulti-parametric imaging applications.

J. D. Lee, A. Nguyen, Z. R. Jin, A. Moghadasi, C. E. Gibbs, S. J. Wait, K. M. Evitts, A. Asencio, S. B. Bremner, S. Zuniga, V. Chavan, A. Williams, N. Smith, M. Regnier, J. E. Young, , A. Berndt

This paper introduces a new fluorescent sensor, oROS-HT, for real-time H2O2 monitoring with subcellular resolution and multi-parametric imaging capabilities.

bioRxiv · Feb 6, 2024 · PreprintBioengineering

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

OptoGap: an optogenetics-enabled assay for quantification of cell-cell coupling in multicellular cardiac tissue

J. Yu, P. M. Boyle, A. Klimas, J. C. Williams, N. A. Trayanova, E. Entcheva

The paper introduces OptoGap, a method to quantify cell-cell coupling in cardiac tissue by optogenetically stimulating nonexcitable cells and measuring the response in coupled excitable cells.

bioRxiv · Aug 2, 2017Bioengineering