tRNA-overlapping long non-coding RNA loci repress codon-biased genes
Bibliographic record
Abstract
The functions of most long non-coding RNAs (lncRNAs) are not known. Here, we define a group of "tRNA-overlapping lncRNA" (tROL) genes that are upregulated during in vitro cartilage development. Deletions of tROLs result in changes in the expression of codon-biased genes, where downregulated genes are enriched in codons corresponding to tRNAs overlapping disrupted tROLs. tROL loci are located in gene-dense regions and interact extensively between chromosomes, and tROL whole-gene deletions result in the upregulation of significantly overlapping subsets of genes in the vicinity of tROL loci. Inhibiting the lncRNA transcription and degrading the lncRNA transcripts of a tROL gene downregulates tRNA expression. Taken together, the results suggest that tROL loci coalesce and are dependent on each other's transcription to repress genes in spatial proximity and to activate tRNA expression. Our investigation thus provides insight into a previously uncharacterized role for tROLs as a regulatory bridge between the non-coding and coding genomes.
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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 | 0.001 |
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".