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Record W2575535966 · doi:10.1093/jb/mvw102

PRMT2 interacts with splicing factors and regulates the alternative splicing of <i>BCL-X</i>

2017· article· en· W2575535966 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.

Bibliographic record

VenueThe Journal of Biochemistry · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsUniversity of ManitobaUniversity of British Columbia
FundersNational Cancer InstituteNational Heart, Lung, and Blood InstituteU.S. Department of Veterans Affairs
KeywordsAlternative splicingRNA splicingCell biologyBiologyGeneticsGene isoformGeneRNA

Abstract

fetched live from OpenAlex

Protein arginine N-methyltransferase 2 (PRMT2) functions in JAK-STAT and Wnt/β-catenin signalling pathways, serves as a nuclear receptor-dependent transcriptional co-activator, and represses NF-κB and E2F1 transcription factor activities to promote apoptosis. We have previously demonstrated that PRMT2 interacts with PRMT1 and increases its activity. Here, we reveal associations using proteomics between the PRMT2 SH3 domain and splicing factors including Src-associated in mitosis 68 kDa protein (SAM68), a PRMT1 substrate and trans-acting factor that mediates BCL-X alternative splicing. We determined that PRMT2 interacts with SAM68 in cells and regulates its subcellular localization via the SH3 domain of PRMT2, prompting us to investigate the potential role of PRMT2 in BCL-X alternative splicing. We found that the expression of the full-length, wildtype form of PRMT2 promotes an increase in the BCL-X(L)/BCL-X(s) ratio in TNF-α or LPS stimulated cells. These results indicate that active PRMT2 may play a role during inflammation in alternative splicing regulation.

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 score0.006
Threshold uncertainty score0.268

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 head0.008
GPT teacher head0.245
Teacher spread0.237 · 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