Proton-selective conductance and gating of the lysosomal cation channel TMEM175
Abstract
The lysosomal cation channel TMEM175 plays a key role in luminal pH homeostasis and lysosome function, with aberrant activity linked to Parkinson’s disease. Although initially described as a K + -selective channel, TMEM175 exhibits substantial H + permeability. Here, we dissect complex changes affecting human TMEM175 conductance and ionic properties of TMEM175-mediated current in response to pH shifts on the luminal side of the protein. A drop in pH from 7.4 to 4.7 on the side equivalent to the lysosomal lumen triggers a sustained increase in TMEM175-mediated inward and outward currents, which is accompanied by a transient shift in the reversal potential (E rev ) toward the theoretical equilibrium voltage for H + , yet remaining ~100 mV below the expected value even in the absence of K + . This discrepancy, along with low sensitivity of E rev to the concentration gradient for K + , supports a model in which TMEM175-mediated H + flux rapidly collapses the lysosomal pH-gradient. Molecular dynamics simulations identify H57 as a key residue on the luminal side of the open channel, which forms intra- and intersubunit salt bridges with D279 and E282. Supporting the functional importance of these interactions, the TMEM175 mutant H57Y displayed reduced H + - and K + -conductance and a reduced H + /K + selectivity in whole-cell and lysosomal electrophysiological analyses. Our findings contribute to a better understanding of TMEM175’s complex electrophysiological properties, thereby expanding the possibilities of understanding the channel’s function in lysosomal physiology and pathophysiology.
Article Details
Journal Info
Proceedings of the National Academy of Sciences
National Academy of Sciences
Authors (13)
Tobias Schulze
Department of Biology, Membrane Biophysics, Technical University of Darmstadt
Timon Sprave
Department of Biology, Membrane Biophysics, Technical University of Darmstadt
Carolin Groebe
Department of Biology, Membrane Biophysics, Technical University of Darmstadt
Jan Hendrik Krumbach
Department of Biology, Computational Biology & Simulation, Technical University of Darmstadt
Magnus Behringer
Department of Biology, Computational Biology & Simulation, Technical University of Darmstadt
Andre Bazzone
Nanion Technologies
Rocco Zerlotti
Nanion Technologies
Niels Fertig
Nanion Technologies
Mike Althaus
Institute for Functional Gene Analytics, Department of Natural Sciences, Bonn-Rhein- Sieg University of Applied Sciences
Kay Hamacher
Department of Biology, Computational Biology & Simulation, Technical University of Darmstadt
Gerhard Thiel
Department of Biology, Membrane Biophysics, Technical University of Darmstadt
Christian Grimm
Walther Straub Institute of Pharmacology and Toxicology, Endolysosomal Ion Channel Research, Faculty of Medicine, Ludwig-Maximilians-Universität
Oliver Rauh
Department of Biology, Membrane Biophysics, Technical University of Darmstadt