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Record W2914590607 · doi:10.1073/pnas.1814385116

Phosphoregulated FMRP phase separation models activity-dependent translation through bidirectional control of mRNA granule formation

2019· article· en· W2914590607 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

VenueProceedings of the National Academy of Sciences · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsMcGill UniversityMcGill University Health CentreHospital for Sick ChildrenUniversity of Toronto
FundersCanadian Institutes of Health ResearchGovernment of Canada
KeywordsTranslation (biology)Protein biosynthesisSynaptic plasticityRNAMessenger RNAStress granuleCell biologyBiologyChemistryBiochemistryGene

Abstract

fetched live from OpenAlex

Significance Activity-dependent translation, the reversible activation of translation in response to synaptic activity, is important for synaptic plasticity and long-term memory formation. How synaptic activity triggers translation of silenced mRNAs within neuronal granules, which are membraneless RNA–protein assemblies, is not clear. We show that the C-terminal region of the Fragile X Mental Retardation Protein (FMRP), an abundant neuronal granule protein, phase separates in vitro with RNA and that its phase separation is fine-tuned by posttranslational modifications controlled in neurons by synaptic activity. We observe that phase separation is correlated with translation inhibition in vitro, providing a conceptual framework to unify FMRP’s diverse roles. Experimental and bioinformatic data suggest that phase separation may be a general mechanism linked to activity-dependent translation.

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 score0.029
Threshold uncertainty score0.238

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 head0.032
GPT teacher head0.304
Teacher spread0.271 · 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