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Record W2143741741 · doi:10.4161/fly.25708

Small RNAs tackle large viruses: RNA interference-based antiviral defense against DNA viruses in insects

2013· article· en· W2143741741 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

VenueFly · 2013
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Virus Research Studies
Canadian institutionsInstitute of Infection and Immunity
Fundersnot available
KeywordsBiologyRNA silencingRNA interferenceRNADicerVirologySmall interfering RNARibonuclease IIIArgonauteDNA virusTrans-acting siRNARNA virusDNA-directed RNA interferenceViral replicationGeneticsGenomeVirusGene

Abstract

fetched live from OpenAlex

The antiviral RNA interference (RNAi) pathway processes viral double-stranded RNA (dsRNA) into viral small interfering RNAs (vsiRNA) that guide the recognition and cleavage of complementary viral target RNAs. In RNA virus infections, viral replication intermediates, dsRNA genomes or viral structured RNAs have been implicated as Dicer-2 substrates. In a recent publication, we demonstrated that a double-stranded DNA virus, Invertebrate iridescent virus 6, is a target of the Drosophila RNAi machinery, and we proposed that overlapping converging transcripts base pair to form the dsRNA substrates for vsiRNA biogenesis. Here, we discuss the role of RNAi in antiviral defense to DNA viruses in Drosophila and other invertebrate model systems.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.625
Threshold uncertainty score1.000

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)0.0000.001

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 head0.074
GPT teacher head0.262
Teacher spread0.188 · 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