Advancing Genetically Encoded K+ Sensors for in vivo Imaging
Advancing Genetically Encoded K+ Sensors for in vivo Imaging
Weave: Österreich - Belgien - Deutschland - Luxemburg - Polen - Schweiz - Slowenien - Tschechien
Disciplines
Biology (50%); Medical-Theoretical Sciences, Pharmacy (50%)
Keywords
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Biosensor Optimization,
Brain Potassium Signals,
Förster Energy Resonance Transfer (FRET),
High-Resolution Fluorescence Live Cell Imaging,
Multi-photon Microscopy Imaging,
Subcellular Potassium Dynamics
Potassium ions (K+) are essential for numerous vital processes in the human body. They play a crucial role in nerve cell communication, heart rhythm regulation, and metabolism. Despite their importance, accurately measuring changes in K+ concentration within living cells and organisms remains challenging. Our research project addresses this issue by developing innovative, genetically encoded fluorescent biosensors that allow real-time visualization of potassium ions with exceptional precision. Using cutting-edge methods such as artificial intelligence, molecular simulations, and advanced imaging techniques, we enhance the sensitivity and accuracy of these sensors. This enables us to observe K+ fluctuations in living cells and even in live mice. Understanding these dynamics is particularly significant for neurological diseases, where potassium ions play a key role. Our interdisciplinary research team from Austria and Germany combines expertise in biochemistry, biophysics, and neuroscience. Together, we strive to create new possibilities for biomedical research, ultimately paving the way for novel therapeutic approaches to diseases associated with disrupted potassium ion balance. This project contributes to expanding our understanding of fundamental cellular processes and provides valuable tools for future medical research.
- Pedro Alejandro Sánchez Murcia, Medizinische Universität Graz , national collaboration partner
- Tobias Madl, Medizinische Universität Graz , national collaboration partner
- Nikolaus Plesnila, Klinikum der Universität München - Germany, international project partner