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Record W1968683907 · doi:10.1074/jbc.m414328200

Tudor Domains Bind Symmetrical Dimethylated Arginines

2005· article· en· W1968683907 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

VenueJournal of Biological Chemistry · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsMcGill UniversityJewish General Hospital
Fundersnot available
KeywordsArginineBiochemistryMethylationRNA splicingRibonucleoproteinBiologyAlternative splicingAmino acidSR proteinSmall nuclear ribonucleoproteinRNA-binding proteinChemistryCell biologyGeneExonRNA

Abstract

fetched live from OpenAlex

The Tudor domain is an approximately 60-amino acid structure motif in search of a function. Herein we show that the Tudor domains of the spinal muscular atrophy gene product SMN, the splicing factor 30 kDa (SPF30), and the Tudor domain-containing 3 (TDRD3) proteins interacted with arginine-glycine-rich motifs in a methylarginine-dependent manner. The Tudor domains also associated with methylarginine-containing cellular proteins, providing evidence that methylated arginines represent physiological ligands for this protein module. In addition, we report that spliceosomal small nuclear ribonucleoprotein particles core Sm proteins accumulated in the cytoplasm when arginine methylation was inhibited with adenosine dialdehyde or in the presence of an excessive amount of unmethylated arginine-glycine-rich peptides. These data provide in vivo evidence in support of a role for arginine methylation in the proper assembly and localization of spliceosomal Sm proteins.

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 score0.074
Threshold uncertainty score0.525

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 head0.258
Teacher spread0.245 · 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