Bibliographic record
Abstract
Metallothioneins (MTs) are a family of proteins that bind some, but not all, heavy metal ions essential for eukaryotic cell function (for example, zinc and copper), and some that are both toxic and not required for cell function (for example, cadmium and mercury). A role for MTs in metabolism and detoxication of heavy metals is strongly suggested by the sensitivity of many MT genes to induction by heavy metals and the ability of MT proteins to bind to many inducing metal ions. However, MT genes are also induced by nonmetal toxins and the expression of MTs varies during normal physiological events (proliferation, differentiation, and cell cycle), suggesting a role or roles not directly related to heavy metal stress. One such role may be the homeostatic regulation of zinc availability. Assessment of function of cells with abrogated MT expression (antisense downregulation of MT and MT gene knockout), increased MT expression by virtue of transient or stable transfection of heterologous MT expression vectors, and in vitro observation of direct and indirect interaction of MT protein with cellular zinc-requiring enzymes and transcription factors has implicated MTs in events modulating resistance to anticancer drug therapy, including zinc-dependent monocyte/ macrophage activation, hormone responsiveness, and transcription factor activity. Evidence exists to suggest that MT (1) regulates immune cell functions by mediating the activity of signal transduction proteins and transcription factors involved in monocyte activation; (2) participates in resisting the effects of damage induced by toxins by regulating the function of the zinc-sensitive transcription factor metal transcription factor 1, the antiapoptotic protein nuclear factor-?B, and the tumor suppressor protein p53, and signaling through the glucocorticoid hormone receptor and other possibly other hormone receptors; and (3) mediates these events in whole or in part by regulating zinc. The importance of inflammation, hormone response, antiapoptotic and zinc-dependent transcription factor function, and zinc regulation in cellular resistance to toxins, coupled with understanding of how MT influences them, sets the stage for rational therapeutic targeting of MT to enhance cancer treatment while sparing normal tissues.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".