On the Ca2+ Dependence of Non-transferrin-bound Iron Uptake in PC12 Cells
Bibliographic record
Abstract
Non-transferrin-bound iron (NTBI) uptake has been reported to follow two pathways, Ca(2+)-dependent and Ca(2+)-independent (Wright, T. L., Brissot, P., Ma, W. L., and Weisiger, R. A. (1986) J. Biol. Chem. 261, 10909-10914; Sturrock, A., Alexander, J., Lamb, J., Craven, C. M., and Kaplan, J. (1990) J. Biol. Chem. 265, 3139-3145). Studies reporting the two pathways have ignored the weak interactions of Ca(2+) with the chelator nitrilotriacetate (NTA) and the reducing agent ascorbate. These studies used a constant ratio of total Fe(2+) to NTA with and without Ca(2+). We observed Ca(2+) activation of NTBI uptake in PC12 cells with the characteristics reported for other cells upon using 1 mm ascorbate and a constant ratio of total Fe(2+) to NTA with or without Ca(2+). However, Ca(2+) did not affect NTBI uptake in solutions without NTA. We then determined conditional stability constants for NTA binding to Ca(2+) and Fe(2+) by potentiometry under conditions of NTBI uptake experiments (pH, ionic strength, temperature, ascorbate, total Fe(2+), and total Ca(2+) concentrations). In solutions based on these constants and taking Ca(2+) chelation into account, Ca(2+) did not affect NTBI uptake over a range of free Fe(2+) concentrations. Thus, the Ca(2+) activation of NTBI uptake observed using the constant total Fe(2+) to NTA ratio was because of Ca(2+)-NTA chelation rather than an activation of the NTBI transporter itself. It is suggested that the previously reported Ca(2+) dependence of NTBI uptake be re-evaluated.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".