MétaCan
Menu
Back to cohort
Record W1990887557 · doi:10.1074/jbc.m110516200

A Human RNA Polymerase II-containing Complex Associated with Factors Necessary for Spliceosome Assembly

2002· article· en· W1990887557 on OpenAlexafffund
François Robert, Marco Blanchette, Olivier Maës, Benoı̂t Chabot, Benoit Coulombe

Bibliographic record

VenueJournal of Biological Chemistry · 2002
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversité de MontréalUniversité de SherbrookeMontreal Clinical Research Institute
FundersCanadian Institutes of Health Research
KeywordsSpliceosomePolymeraseRNA polymerase IISmall nuclear RNARNA polymerase IRNA-dependent RNA polymeraseComputational biologyRNARNA splicingBiologyGeneticsDNAGeneGene expression

Abstract

fetched live from OpenAlex

Transcription and splicing are coordinated processes in mammalian cells. We have used affinity chromatography with immobilized transcription elongation factor SII to purify a protein complex that contains core RNA polymerase II (RNA Pol II), the general transcription initiation factors, and several splicing factors, including the U1, U2, and U4 small nuclear RNPs, the U2AF(65), and serine/arginine-rich proteins. The splicing factors and the transcription machinery co-purify through a gel filtration column and co-immunoprecipitate in experiments using an anti-U2AF(65) antibody, indicating that they are part of a unique complex. Although the RNA Pol II-containing complex does not possess splicing activity, it can complement small nuclear RNP-inactivated extracts and can promote the formation of a pre-spliceosome complex. Because interactions between components of the splicing and transcription machineries occur in the context of a complex containing a hypophosphorylated RNA Pol II capable of initiating transcription, our results suggest that the coupling between transcription and splicing begins before transcription initiation.

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 score0.013
Threshold uncertainty score0.550

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 head0.061
GPT teacher head0.302
Teacher spread0.241 · 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

Citations54
Published2002
Admission routes2
Has abstractyes

Explore more

Same venueJournal of Biological ChemistrySame topicRNA Research and SplicingFrench-language works237,207