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Record W2094743769 · doi:10.1074/jbc.m401049200

UV-dependent Alternative Splicing Uncouples p53 Activity and PIG3 Gene Function through Rapid Proteolytic Degradation

2004· article· en· W2094743769 on OpenAlexaff
Chris D. Nicholls, Michael A. Shields, Patrick W.K. Lee, Stephen M. Robbins, Tara L. Beattie

Bibliographic record

VenueJournal of Biological Chemistry · 2004
Typearticle
Languageen
FieldMedicine
TopicCancer-related Molecular Pathways
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsExonRNA splicingAlternative splicingGeneGene productBiologyCell biologyGene expressionMessenger RNAProtein splicingMolecular biologyGeneticsRNA

Abstract

fetched live from OpenAlex

The p53-inducible gene 3 (PIG3) is a transcriptional target of the tumor suppressor protein p53 and is thought to play a role in apoptosis. In this report, we identify a novel alternatively spliced product from the PIG3 gene that we call PIG3AS (PIG3 alternative splice). PIG3AS results from alternative pre-mRNA splicing that skips exon 4 of the five exons included in the PIG3 transcript. The resulting protein product shares its first 206 amino acids with PIG3 but has a unique 42-amino acid C terminus. In unstressed cells and after most DNA damage conditions that induce transcription from the PIG3 gene, production of the PIG3 transcript dominates. However, in response to UV light, pre-mRNA splicing shifts dramatically in favor of PIG3AS. Unlike the PIG3 protein, the PIG3AS protein is rapidly degraded with a short half-life and is stabilized by proteasome inhibition. Our results illustrate the first example of an endogenous, UV-inducible, alternative splicing event and that control of the splicing machinery is involved in the cellular DNA damage response. They also suggest that rapid proteolytic degradation represents a cellular mechanism for uncoupling p53 activity from PIG3 gene activation that is independent of promoter selectivity.

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 score0.017
Threshold uncertainty score0.432

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 head0.033
GPT teacher head0.266
Teacher spread0.233 · 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

Citations26
Published2004
Admission routes1
Has abstractyes

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