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Record W2177307857 · doi:10.1261/rna.053207.115

Functional analyses of phosphorylation events in human Argonaute 2

2015· article· en· W2177307857 on OpenAlexafffund
Joaquín López-Orozco, Justin M. Pare, Andrea Lisa Holme, Steven G. Chaulk, Richard P. Fahlman, Tom C. Hobman

Bibliographic record

VenueRNA · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsUniversity of Alberta
FundersAlberta InnovatesCanadian Cancer SocietyAlberta Cancer Foundation
KeywordsArgonauteBiologyRNA interferenceGene silencingStress granuleEffectorPhosphorylationCell biologySmall interfering RNARNASerineCytoplasmRNA silencingGeneGeneticsMessenger RNATranslation (biology)

Abstract

fetched live from OpenAlex

Argonaute 2 (Ago2) protein is a central effector of RNA interference (RNAi) pathways and regulates mammalian genes on a global level. The mechanisms of Ago2-mediated silencing are well understood, but less is known about its regulation. Recent reports indicate that phosphorylation significantly affects Ago2 activity. Here, we investigated the effect of mutating all known phospho-residues within Ago2 on its localization and activity. Ago2 associates with two different cytoplasmic RNA granules known as processing bodies (P-bodies) and stress granules, but the nature of this phenomenon is controversial. We report that replacing serine with a phospho-mimetic aspartic acid at position 798 completely abrogates association of Ago2 with P-bodies and stress granules. The effect of this mutation on its activity in gene silencing was modest, which was surprising because association of Ago2 with cytoplasmic RNA granules is thought to be a consequence of its role in RNAi. As such, our data indicate that targeting of Ago2 to P-bodies and stress granules is separable from its role in RNAi and likely requires dynamic phosphorylation of serine 798.

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 score0.096
Threshold uncertainty score0.134

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 head0.064
GPT teacher head0.353
Teacher spread0.288 · 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

Citations25
Published2015
Admission routes2
Has abstractyes

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