Hitting two birds with one stone: The unforeseen consequences of nested gene knockouts in<i>Caenorhabditis elegans</i>
Bibliographic record
Abstract
Nested genes represent an intriguing form of non-random genomic organization in which the boundaries of one gene are fully contained within another, longer host gene. The C. elegans genome contains over 10,000 nested genes, 92% of which are ncRNAs, which occur inside 16% of the protein coding gene complement. Host genes are longer than non-host coding genes, owing to their longer and more numerous introns. Indel alleles are available for nearly all of these host genes that simultaneously alter the nested gene, raising the possibility of nested gene disruption contributing to phenotypes that might be attributed to the host gene. Such dual-knockouts could represent a source of misinterpretation about host gene function. Dual-knockouts might also provide a novel source of synthetic phenotypes that reveal the functional effects of ncRNA genes, whereby the host gene disruption acts as a perturbed genetic background to help unmask ncRNA phenotypes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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".