Action of Δ <sup>9</sup> -Tetrahydrocannabinol on Cell Division and Macromolecular Synthesis in Division-Synchronized Protozoa
Bibliographic record
Abstract
Delta 9-Tetrahydrocannabinol (THC) elicited a dose-dependent (3.2-24 muM) response for form/movement, cellular growth and division in log growth phase and division-synchronized Tetrahymena pyriformis GL. Progressive dose-dependent action of THC on division delays in division-synchronized cell cultures was correlated with a concomitant reduction of division maxima and the percent of cells that completed division I. THC depressed the incorporation of 5-3H-uridine, 2-14C-thymidine and L-3-14C-phenylalanine into RNA, DNA and protein macromolecules respectively of division-synchronized Tetrahymena during division I. The depression of incorporation of 5-3H-uridine into nucleic acid macromolecules was correlated with a reduction of exogenous precursor in the cellular pool. The specific activity of radiolabeled mRNA and nascent polypeptides of polyribosomal fractions from synchronized cells was reduced by THC treatment. THC caused an inhibition of the incorporation of 5-3H-uridine into ribosomal RNA (17S and 25S RNA) and ribosomal precursor RNA (35S RNA) of synchronized cells.
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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".