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Record W2441995740 · doi:10.1007/978-1-61779-046-1_4

Mapping of Ago2–GW182 Functional Interactions

2011· article· en· W2441995740 on OpenAlexfundno aff
Bing Yao, Songqing Li, Shang L. Lian, Marvin J. Fritzler, Edward K. L. Chan

Bibliographic record

VenueMethods in molecular biology · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA Research and Splicing
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesCanadian Institutes of Health Research
KeywordsArgonauteGene silencingBiologymicroRNARNA-induced silencing complexRasiRNARNA interferenceCell biologyGeneticsRNAGene

Abstract

fetched live from OpenAlex

MicroRNA (miRNA)-mediated posttranscriptional regulation of gene expression has become a major focus in understanding fine-tuning controls in many biological processes. Argonaute 2 protein (Ago2), a core component of RNA-induced silencing complex, directly binds miRNA and functions in both RNAi and miRNA pathways. GW182 is a marker protein of GW bodies (GWB, also known as mammalian P-bodies) and is known to bind the Ago2 protein. This Ago2-GW182 interaction is crucial for Ago2-miRNA-mediated translational silencing as well as the recruitment of Ago2 into GWB. Translational silencing of tethered Ago2 to a 3'UTR reporter requires GW182 for function, whereas tethered GW182 exerts a stronger repression than tethered Ago2 and does not apparently require Ago2. This chapter describes in detail the methods used in mapping Ago2-GW182 interactions.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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: Methods · Consensus signal: none
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.002

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 head0.069
GPT teacher head0.411
Teacher spread0.342 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

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

Citations14
Published2011
Admission routes1
Has abstractyes

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