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Record W2032393199 · doi:10.1091/mbc.e06-10-0920

Bsr, a Nuclear-retained RNA with Monoallelic Expression

2007· article· en· W2032393199 on OpenAlexaff
Hélène Royo, Eugénia Basyuk, Virginie Marty, M.V. Marques, Édouard Bertrand, Jérôme Cavaillé

Bibliographic record

VenueMolecular Biology of the Cell · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Syndromes and Imprinting
Canadian institutionsUniversité de Sherbrooke
FundersEuropean Commission
KeywordsBiologyNon-coding RNAIntronRNATranscription (linguistics)Small nucleolar RNAGeneGene expressionMolecular biologyGeneticsRNA splicingMature messenger RNACell biology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.396

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.004
GPT teacher head0.214
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations28
Published2007
Admission routes1
Has abstractyes

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