Research Group: Statistical Physics and Thermodynamics of Transport
Processes (FET-TRANS)
Project PID2022-139953NB-I00
Objective
This project focuses on the
bioelectrical patterns of multicellular ensembles.
In particular, we aim at acquiring a qualitative understanding of the
instructive bioelectrical signaling in multicellular ensembles
of non-excitable cells.
To this end, we will study theoretically and experimentally
artificial model systems under bioelectrically-relevant conditions.
We aim at indentifying efficient protocols for the external control of
bioelectrical signals, such as the maps of bioelectrical potential.
Our methods combine experiments with theoretical simulations.
Potential applications could be based on the external modulation of the bioelectrical potential.
Publications
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J. Cervera, J. A. Manzanares, M. Levin, S. Mafe,
Oscillatory phenomena in electrophysiological networks: The coupling
between cell bioelectricity and transcription,
Comp. Biol. Med. 180 (2024) 108964.
Elsevier.
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J. Cervera, M. Levin, S. Mafe,
Multicellular adaptation to electrophysiological perturbations
analyzed by deterministic and stochastic bioelectrical models,
Sci. Rep. 14 (2024) 27608.
Nature.
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P. Ramirez, J. Cervera, V. García-Morales, S. Nasir, M. Ali, W. Ensinger,
S. Mafe,
Equivalent circuits in nanopore-based electrochemical systems,
Electrochim. Acta 484 (2024) 144057.
Elsevier.
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J. Cervera, S. Portillo, P. Ramirez, S. Mafe,
Modeling of memory effects in nanofluidic diodes,
Phys. Fluids 36 (2024) 047129.
American Institute of Physics.
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S. Portillo, J. A. Manzanares, P. Ramirez, J. Bisquert, S. Mafe,
J. Cervera,
pH-Dependent Effects in Nanofluidic Memristors,
J. Phys. Chem. Lett. 15 (2024) 7793.
American Chemical Society.
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S. Portillo, J. Cervera, S. Mafe, P. Ramirez,
Reversible logic with a nanofluidic memristor,
Phys. Rev. E 110 (2024) 065101.
American Physical Society.