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Record W2110776599 · doi:10.1126/science.1184208

Regulation of Alternative Splicing by Histone Modifications

2010· article· en· W2110776599 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

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.

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 score0.008
Threshold uncertainty score0.126

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 head0.013
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

Quick stats

Citations1,119
Published2010
Admission routes2
Has abstractyes

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