Strain‐Specific Brain Metallothionein II (MT‐II) Gene Expression, Its Ethanol Responsiveness, and Association With Ethanol Preference in Mice
Bibliographic record
Abstract
BACKGROUND: Metallothioneins (MTs) are ubiquitously expressed intracellular proteins that bind heavy metals such as zinc, copper, and cadmium. Although their specific function has yet to be discovered, they are known to regulate the metabolism of these metals as well as respond to cellular stress agents, particularly oxidants. METHODS: Brain RNA from experimental (8 g/kg 25% ethanol injection) and control (saline injection) mice from four strains (A/J, BALB/cJ, C57BL/6J, DBA/2J) that are known to differ with respect to ethanol preference was used in differential displays. This report includes molecular results on one gene (MT-II) identified. RESULTS: Our results on differential displays suggest that a proportion of genes are differentially expressed across pair-wise strain comparisons. We identified MT-II as a strain-specific and ethanol-responsive gene. The level of MT-II messenger RNA (mRNA) in control mice of A/J, BALB/cJ, C57BL/6J, and DBA/2J strains was variable (0.50, 0.51, 0.90, and 0.14 times G3PDH expression, respectively). The degree of up-regulation in experimental mice was also somewhat variable among strains, ranging from 2.5 to 3.2 times expression over the matched controls. Experiments indicate that the promoter and genomic organization of the MT-II gene is identical in sequence for all four strains, and methylation studies revealed that the MT-II promoter region is unmethylated in the brains of these mice. Interestingly, MT-II expression in control mice demonstrated a positive correlation with the ethanol preference phenotype. CONCLUSION: An increase in MT-II mRNA levels after injection of ethanol is attributed to the antioxidant properties of MT-II. The differential mRNA levels of this gene among four strains are not accounted for by the genomic organization, DNA sequence, or methylation status of this gene. Furthermore, the observed correlation between MT-II mRNA levels and ethanol preference raises an interesting hypothesis about the possible role of MT-II in ethanol effects and preference in mice.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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".