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Record W2110776599 · doi:10.1126/science.1184208

Regulation of Alternative Splicing by Histone Modifications

2010· article· en· W2110776599 on OpenAlexafffund
Reini F. Luco, Qun Pan, Kaoru Tominaga, Benjamin J. Blencowe, Olivia M. Pereira‐Smith, Tom Misteli

Bibliographic record

VenueScience · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health ResearchNational Institute on AgingNational Institutes of Health
KeywordsRNA splicingHistone codeAlternative splicingHistoneHistone H2AHistone methylationBiologyHistone methyltransferaseCell biologySplicing factorHistone H1GeneticsMessenger RNAGeneNucleosomeGene expressionDNA methylationRNA

Abstract

fetched live from OpenAlex

Histones and Alternative Splicing Alternative splicing—the inclusion of different combinations of gene exons within a messenger RNA transcript—occurs in the majority of human genes and is regulated by basal and tissue-specific splicing factors, by transcription kinetics, and by chromatin structure. Luco et al. (p. 996 , published online 4 February) analyzed the alternative splicing of the human fibroblast growth factor receptor 2 gene in tissue culture cells and found that inclusion of exon IIIb or IIIc was modulated by the levels of histone H3 lysine 36 trimethylation (H3-K36me3) and H3-K4me3. Histone H3-K36me3 enrichment correlated with binding of the chromatin protein, MRG15. The MRG15 protein in turn recruited the polypyrimidine tract–binding protein (PTB) splicing factor, which acts to repress alternative exon inclusion, thus establishing a direct link between histone modifications and the splicing machinery.

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)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.013
GPT teacher head0.321
Teacher spread0.308 · 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 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

Citations1,119
Published2010
Admission routes2
Has abstractyes

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