Allosteric activation of sodium–calcium exchange by picomolar concentrations of cadmium
Bibliographic record
Abstract
Chinese hamster ovary cells expressing the bovine cardiac Na+-Ca2+ exchanger (NCX1.1) accumulated Cd2+ after a lag period of several tens of seconds. The lag period reflects the progressive allosteric activation of exchange activity by Cd2+ as it accumulates within the cytosol. The lag period was greatly reduced in cells expressing a mutant exchanger, Delta(241-680), that does not require allosteric activation by Ca2+ for activity. Non-transfected cells did not show Cd2+ uptake under the same conditions. In cells expressing NCX1.1, the lag period was nearly abolished following an elevation of the cytosolic Ca2+ concentration. Cytosolic Cd2+ concentrations estimated at 0.5-2 pm markedly stimulated the subsequent uptake of Ca2+ by Na+-Ca2+ exchange. Outward exchange currents in membrane patches from Xenopus oocytes expressing the canine NCX1.1 were rapidly and reversibly stimulated by 3 pm Cd2+ applied at the cytosolic membrane surface. Exchange currents activated by 3 pm Cd2+ were 40% smaller than currents activated by 1 mum cytosolic Ca2+. Current amplitudes declined by 30% and the rate of current development fell sharply upon repetitive applications of Na+ in the presence of 3 pm Cd2+. Cd2+ mimicked the anomalous inhibitory effects of Ca2+ on outward exchange currents generated by the Drosophila exchanger CALX1.1. We conclude that the regulatory sites responsible for allosteric Ca2+ activation bind Cd2+ with high affinity and that Cd2+ mimics the regulatory effects of Ca2+ at concentrations 5 orders of magnitude lower than Ca2+.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".