Non-coding RNAs match the deleted genomic regions in humans
Bibliographic record
Abstract
RNA is transcribed from DNA, and therefore, there should be no RNA transcript from the deleted DNA region. Our study attempted to analyse whether any RNA cache that maps the deleted regions is present in human cells. Using data from the 1000 genome project, we selected 41 CEPH (CEU) and 38 Yoruba (YRI) samples that included the data for the entire genome sequence and ncRNA and mRNA sequences. Aligning the ncRNA reads against the genomic DNA in individual samples has revealed that 229 out of 1114 homozygous deletions have ncRNA reads that map to them. Further analysis has revealed that ncRNA reads that map the deleted regions are enriched around the deletion ends and at genic regions of the genome. The read enrichment at deletion ends suggests that these ncRNAs are likely some form of double-strand break induced RNAs. Our analysis suggests that human cells may contain a residual ncRNA cache that is possibly propagated across generations.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".