Translational Activity of N-Methyl-<i>D</i>-Aspartate Receptor Subunit NR1 mRNA in PC12 Cells
Bibliographic record
Abstract
PC12 cells contain NR1 mRNA but lack significant expression of NR1 protein suggesting translational or posttranslational regulation. Translational activity of NR1 mRNA in PC12 cells was examined by sucrose gradient fractionation and by heterologous luciferase NR1 gene expression studies. The cosedimentation and association of NR1 mRNA with large polyribosomes (polysomes) confirmed the translatability of NR1 message in PC12 cells. Possible initiation and/or elongation defects during the translation of NR1 mRNAs were investigated by cyclohexamide treatment. The marked decline in the number of ribosomes associated with NR1 mRNA after prolonged exposure to cyclohexamide suggested that initiation was limiting translation of NR1 mRNA in PC12 cells. Consequently, the effect of the 5' and 3' untranslated regions (UTRs) on translation was examined using fusion constructs consisting of the luciferase coding region fused to either or both the 5' UTR and 3' UTR of NR1. The transfection of PC12 cells with the luciferase NR1-UTR fusion constructs revealed that the 3' UTR of NR1 had a significant inhibitory effect on luciferase expression. In contrast, the 5' UTR of NR1 had no inhibitory effect on mRNA translation in PC12 cells. The results from this study indicate that the translation of NR1 mRNA in PC12 cells may be impeded at initiation and this inhibition may be regulated at least in part through the 3' UTR of NR1.
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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 | 0.000 |
| 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 | 0.001 |
| 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".