Unlocking the reversal potential of solid supported membrane electrophysiology to determine transport stoichiometry
Henzler-Wildman, K. A.; Thomas, N. E.
Show abstract
Transport stoichiometry provides insight into the mechanism and function of ion-coupled transporters, but measuring transport stoichiometry is time-consuming and technically difficult. With the increasing evidence that many ion-coupled transporters employ multiple transport stoichiometries under different conditions, improved methods to determine transport stoichiometry are required to accurately characterize transporter activity. Reversal potential was previously shown to be a reliable, general method for determining the transport stoichiometry of ion-coupled transporters (Fitzgerald & Mindell, 2017). Here, we develop a new technique for measuring transport stoichiometry with greatly improved throughput using solid supported membrane electrophysiology (SSME). Using this technique, we are able to verify the recent report of a fixed 2:1 stoichiometry for the proton:guanidinium antiporter Gdx. Our SSME method requires only small amounts of transporter and provides a fast, easy, general method for measuring transport stoichiometry, which will facilitate future mechanistic and functional studies of ion-coupled transporters.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Activation-pathway transitions in human voltage-gated proton channels revealed by a non-canonical fluorescent amino acid. 93%
- Exploring the K+ binding site and its coupling to transport in the neurotransmitter:sodium symporter LeuT 92%
- Zn2+ potentiation of OTOP proton channels identifies structural elements of the gating apparatus 92%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.