Bsr, a Nuclear-retained RNA with Monoallelic Expression
Bibliographic record
Abstract
The imprinted Dlk1-Gtl2 and Prader-Willi syndrome (PWS) regions are characterized by a complex noncoding transcription unit spanning arrays of tandemly repeated C/D RNA genes. These noncoding RNAs (ncRNAs) are thought to play an essential but still poorly understood role. To better understand the intracellular fate of these large ncRNAs, fluorescence in situ hybridization was carried out at the rat Dlk1-Gtl2 domain. This locus contains a approximately 100-kb-long gene cluster comprising 86 homologous RBII-36 C/D RNA gene copies, all of them intron-encoded within the ncRNA gene Bsr. Here, we demonstrate that the Bsr gene is monoallelically expressed in primary rat embryonic fibroblasts as well as in hypothalamic neurons and yields a large amount of unspliced and spliced RNAs at the transcription site, mostly as elongated RNA signals. Surprisingly, spliced Bsr RNAs released from the transcription site mainly concentrate as numerous, stable nuclear foci that do not colocalize with any known subnuclear structures. On drug treatments, a fraction of Bsr RNA relocalizes to the cytoplasm and associates with stress granules (SGs), but not with P-bodies, pointing to a potential link between SGs and the metabolism of ncRNA. Thus, Bsr might represent a novel type of nuclear-retained transcript.
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 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".