@article {10.7554/eLife.34944, article_type = {journal}, title = {A label-free approach to detect ligand binding to cell surface proteins in real time}, author = {Burtscher, Verena and Hotka, Matej and Li, Yang and Freissmuth, Michael and Sandtner, Walter}, editor = {Chanda, Baron}, volume = 7, year = 2018, month = {apr}, pub_date = {2018-04-26}, pages = {e34944}, citation = {eLife 2018;7:e34944}, doi = {10.7554/eLife.34944}, url = {https://doi.org/10.7554/eLife.34944}, abstract = {Electrophysiological recordings allow for monitoring the operation of proteins with high temporal resolution down to the single molecule level. This technique has been exploited to track either ion flow arising from channel opening or the synchronized movement of charged residues and/or ions within the membrane electric field. Here, we describe a novel type of current by using the serotonin transporter (SERT) as a model. We examined transient currents elicited on rapid application of specific SERT inhibitors. Our analysis shows that these currents originate from ligand binding and not from a long-range conformational change. The Gouy-Chapman model predicts that adsorption of charged ligands to surface proteins must produce displacement currents and related apparent changes in membrane capacitance. Here we verified these predictions with SERT. Our observations demonstrate that ligand binding to a protein can be monitored in real time and in a label-free manner by recording the membrane capacitance.}, keywords = {human Serotonin transporter, surface charge, membrane capacitance, HEK293 cells, cocaine, serotonin}, journal = {eLife}, issn = {2050-084X}, publisher = {eLife Sciences Publications, Ltd}, }