Abstract

Biological membranes carry fixed charges at their surfaces. These arise primarily from phospholipid head groups. In addition, membrane proteins contribute to the surface potential with their charged residues. Membrane lipids are asymmetrically distributed. Because of this asymmetry the net negative charge at the inner leaflet exceeds that at the outer leaflet. Changes in surface potential are predicted to shape the capacitive properties of the membrane (i.e. the ability of the membrane to store electrical charges). Here, we show that it is possible to detect changes in surface potential by an electrophysiological approach: the analysis of cellular currents relies on assuming that the electrical properties of a cell are faithfully described by a three-element circuit - i.e. the minimal equivalent circuit - comprised of two resistors and one capacitor. However, to account for changes in surface potential it is necessary to add a battery to this circuit connected in series with the capacitor. This extended circuit model predicts that the current response to a square-wave voltage pulse harbors information, which allows for separating the changes in surface potential from a true capacitance change. We interrogated our model by investigating changes in capacitance induced by ligand binding to the serotonin transporter (SERT) and to the glycine transporters (GlyT1 and GlyT2). The experimental observations were consistent with the predictions of the extended circuit. We conclude that ligand-induced changes in surface potential (reflecting the binding event) and in true membrane capacitance (reflecting the concomitant conformational change) can be detected in real time even in instances where they occur simultaneously.\n\nStatement of SignificanceThe plasma membrane of a cell possesses fixed charges on both surfaces. Surface charges play an important role in many biological processes. However, the mechanisms, which regulate the surface charge densities at the plasma membrane, are poorly understood. This is in part due to lack of experimental approaches that allow for detecting changes in surface charges in real time. Here, we show that it is possible to track alterations in the electric potential at the membrane surface with high temporal resolution by an electrophysiological approach. Importantly, the described method allows for discriminating between a change in surface potential and a change in true membrane capacitance (e.g. a change in membrane area), even if these occur in parallel.