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Record W2153222734 · doi:10.1242/jcs.007633

Transcriptional interference: an unexpected layer of complexity in gene regulation

2007· review· en· W2153222734 on OpenAlexaff
Alexander Mazo, Jacob W. Hodgson, Svetlana Petruk, Yurii Sedkov, Hugh W. Brock

Bibliographic record

VenueJournal of Cell Science · 2007
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsBiologyUltrabithoraxRNA interferenceGeneticsUntranslated regionThree prime untranslated regionTranscription (linguistics)Long non-coding RNAGeneCell biologyRNATranscription factor

Abstract

fetched live from OpenAlex

Much of the genome is transcribed into long untranslated RNAs, mostly of unknown function. Growing evidence suggests that transcription of sense and antisense untranslated RNAs in eukaryotes can repress a neighboring gene by a phenomenon termed transcriptional interference. Transcriptional interference by the untranslated RNA may prevent recruitment of the initiation complex or prevent transcriptional elongation. Recent work in yeast, mammals, and Drosophila highlights the diverse roles that untranslated RNAs play in development. Previously, untranslated RNAs of the bithorax complex of Drosophila were proposed to be required for its activation. Recent studies show that these untranslated RNAs in fact silence Ultrabithorax in early embryos, probably by transcriptional interference.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.002
Science and technology studies0.0000.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.002

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 head0.155
GPT teacher head0.410
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations105
Published2007
Admission routes1
Has abstractyes

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