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A novel delta current method for transport stoichiometry estimation
BACKGROUND: The ion transport stoichiometry (q) of electrogenic transporters is an important determinant of their function. q can be determined by the reversal potential (E(rev)) if the transporter under study is the only electrogenic transport mechanism or a specific inhibitor is available. An alte...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274721/ https://www.ncbi.nlm.nih.gov/pubmed/25558372 http://dx.doi.org/10.1186/s13628-014-0014-2 |
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author | Shao, Xuesi M Kao, Liyo Kurtz, Ira |
author_facet | Shao, Xuesi M Kao, Liyo Kurtz, Ira |
author_sort | Shao, Xuesi M |
collection | PubMed |
description | BACKGROUND: The ion transport stoichiometry (q) of electrogenic transporters is an important determinant of their function. q can be determined by the reversal potential (E(rev)) if the transporter under study is the only electrogenic transport mechanism or a specific inhibitor is available. An alternative approach is to calculate delta reversal potential (ΔE(rev)) by altering the concentrations of the transported substrates. This approach is based on the hypothesis that the contributions of other channels and transporters on the membrane to E(rev) are additive. However, E(rev) is a complicated function of the sum of different conductances rather than being additive. RESULTS: We propose a new delta current (ΔI) method based on a simplified model for electrogenic secondary active transport by Heinz (Electrical Potentials in Biological Membrane Transport, 1981). ΔI is the difference between two currents obtained from altering the external concentration of a transported substrate thereby eliminating other currents without the need for a specific inhibitor. q is determined by the ratio of ΔI at two different membrane voltages (V(1) and V(2)) where q = 2RT/(F(V(2) –V(1)))ln(ΔI(2)/ΔI(1)) + 1. We tested this ΔI methodology in HEK-293 cells expressing the elctrogenic SLC4 sodium bicarbonate cotransporters NBCe2-C and NBCe1-A, the results were consistent with those obtained with the E(rev) inhibitor method. Furthermore, using computational simulations, we compared the estimates of q with the ΔE(rev) and ΔI methods. The results showed that the ΔE(rev) method introduces significant error when other channels or electrogenic transporters are present on the membrane and that the ΔI equation accurately calculates the stoichiometric ratio. CONCLUSIONS: We developed a ΔI method for estimating transport stoichiometry of electrogenic transporters based on the Heinz model. This model reduces to the conventional reversal potential method when the transporter under study is the only electrogenic transport process in the membrane. When there are other electrogenic transport pathways, ΔI method eliminates their contribution in estimating q. Computational simulations demonstrated that the ΔE(rev) method introduces significant error when other channels or electrogenic transporters are present and that the ΔI equation accurately calculates the stoichiometric ratio. This new ΔI method can be readily extended to the analysis of other electrogenic transporters in other tissues. |
format | Online Article Text |
id | pubmed-4274721 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-42747212015-01-02 A novel delta current method for transport stoichiometry estimation Shao, Xuesi M Kao, Liyo Kurtz, Ira BMC Biophys Methodology Article BACKGROUND: The ion transport stoichiometry (q) of electrogenic transporters is an important determinant of their function. q can be determined by the reversal potential (E(rev)) if the transporter under study is the only electrogenic transport mechanism or a specific inhibitor is available. An alternative approach is to calculate delta reversal potential (ΔE(rev)) by altering the concentrations of the transported substrates. This approach is based on the hypothesis that the contributions of other channels and transporters on the membrane to E(rev) are additive. However, E(rev) is a complicated function of the sum of different conductances rather than being additive. RESULTS: We propose a new delta current (ΔI) method based on a simplified model for electrogenic secondary active transport by Heinz (Electrical Potentials in Biological Membrane Transport, 1981). ΔI is the difference between two currents obtained from altering the external concentration of a transported substrate thereby eliminating other currents without the need for a specific inhibitor. q is determined by the ratio of ΔI at two different membrane voltages (V(1) and V(2)) where q = 2RT/(F(V(2) –V(1)))ln(ΔI(2)/ΔI(1)) + 1. We tested this ΔI methodology in HEK-293 cells expressing the elctrogenic SLC4 sodium bicarbonate cotransporters NBCe2-C and NBCe1-A, the results were consistent with those obtained with the E(rev) inhibitor method. Furthermore, using computational simulations, we compared the estimates of q with the ΔE(rev) and ΔI methods. The results showed that the ΔE(rev) method introduces significant error when other channels or electrogenic transporters are present on the membrane and that the ΔI equation accurately calculates the stoichiometric ratio. CONCLUSIONS: We developed a ΔI method for estimating transport stoichiometry of electrogenic transporters based on the Heinz model. This model reduces to the conventional reversal potential method when the transporter under study is the only electrogenic transport process in the membrane. When there are other electrogenic transport pathways, ΔI method eliminates their contribution in estimating q. Computational simulations demonstrated that the ΔE(rev) method introduces significant error when other channels or electrogenic transporters are present and that the ΔI equation accurately calculates the stoichiometric ratio. This new ΔI method can be readily extended to the analysis of other electrogenic transporters in other tissues. BioMed Central 2014-12-11 /pmc/articles/PMC4274721/ /pubmed/25558372 http://dx.doi.org/10.1186/s13628-014-0014-2 Text en © Shao et al.; licensee BioMed Central Ltd 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Methodology Article Shao, Xuesi M Kao, Liyo Kurtz, Ira A novel delta current method for transport stoichiometry estimation |
title | A novel delta current method for transport stoichiometry estimation |
title_full | A novel delta current method for transport stoichiometry estimation |
title_fullStr | A novel delta current method for transport stoichiometry estimation |
title_full_unstemmed | A novel delta current method for transport stoichiometry estimation |
title_short | A novel delta current method for transport stoichiometry estimation |
title_sort | novel delta current method for transport stoichiometry estimation |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4274721/ https://www.ncbi.nlm.nih.gov/pubmed/25558372 http://dx.doi.org/10.1186/s13628-014-0014-2 |
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