Zinc-sensitive genes as potential new target genes of the metal transcription factor-1 (MTF-1)
Bibliographic record
Abstract
Zinc is an essential trace element that serves as a structural constituent of a large number of transcription factors, which explains its pivotal role in the control of gene expression. Previous studies investigating the effect of zinc deficiency and zinc supplementation on gene expression in the human adenocarcinoma cell line HT-29 led to the identification of a considerable number of genes responding to alterations in cellular zinc status with changes in steady state mRNA levels. For 9 of 20 genes from these previous screenings that were studied in more detail, mRNA steady state levels responded to both high and low media zinc concentrations. As they are primarily zinc-dependent, we assessed whether these genes are controlled by the zinc-finger metal transcription factor MTF-1. To test this hypothesis we generated a doxycyline-inducible Tet-On HT-29 cell line overexpressing MTF-1. Using this conditional expression system, we present evidence that Kruppel-like factor 4 (klf4), hepatitis A virus cellular receptor 1 (hhav), and complement factor B (cfbp) are 3 potential new target genes of MTF-1. To support this, we used in silico analysis to screen for metal-responsive elements (MREs) within promotors of zinc-sensitive genes. We conclude that zinc responsiveness of klf4, hhav, and cfbp in HT-29 cells is mediated at least in part by MTF-1.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".