Evidence map›Paper›PMID 25558372›Full record

ArticleBMC biophysics2014

A novel delta current method for transport stoichiometry estimation.

Xuesi M Shao, Liyo Kao, Ira Kurtz

Open access · hybridAbstract read
In one paragraph

Article in BMC biophysics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.1field-weighted citation impact, top 45% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Xuesi M ShaoDepartment of Neurobiology, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095 USA.
Liyo KaoDivision of Nephrology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095 USA.
Ira KurtzDivision of Nephrology, Department of Medicine, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095 USA ; Brain Research Institute, David Geffen School of Medicine at UCLA, Los Angeles, CA 90095 USA.
University of California, Los Angeles · US

Funding

The Biology of NBCe1 in Health and DiseaseR01DK077162 · NIDDK · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI IRA KURTZ · 2007 to 2026
$6.7M
Nicotine delivery to rodents with lung alveolar region-targeted aerosol techR43DA031578 · NIDA · AFASCI, INC. · PI SHAO, XUESI MAX, XIE, XINMIN SIMON · 2011 to 2011
$240k
NIDA NIH HHS R43 DA031578NIDDK NIH HHS R01 DK077162
6 · The paper itself

Abstract

backgroundThe ion transport stoichiometry (q) of electrogenic transporters is an important determinant of their function. q can be determined by the reversal potential (Erev) 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 (ΔErev) 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 Erev are additive. However, Erev is a complicated function of the sum of different conductances rather than being additive.

resultsWe 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 (V1 and V2) where q = 2RT/(F(V2 -V1))ln(ΔI2/ΔI1) + 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 Erev inhibitor method. Furthermore, using computational simulations, we compared the estimates of q with the ΔErev and ΔI methods. The results showed that the ΔErev 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.

conclusionsWe 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 ΔErev 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.

Indexed as

Computational simulationElectrogenic transporterHEK-293 cellsMembrane current-voltage relationshipPatch clampReversal potentialStoichiometry

Identifiers

PMID25558372
PMCPMC4274721
OpenAlexW2087275772

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.