MétaCan
Menu
Back to cohort
Record W2030710746 · doi:10.4161/worm.28641

Silent no more

2014· article· en· W2030710746 on OpenAlexaff
Christopher J. Wedeles, Monica Z. Wu, Julie M. Claycomb

Bibliographic record

VenueWorm · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Toronto
FundersUlster University
KeywordsBiologyPiwi-interacting RNARNA interferenceArgonauteGeneticsRNAEpigeneticsGenomeRasiRNAGermlineGene silencingRNA silencingXISTTranscriptomeGeneLong non-coding RNAGene expressionX-inactivation

Abstract

fetched live from OpenAlex

Endogenous small RNA pathways related to RNA interference (RNAi) play a well-documented role in protecting host genomes from the invasion of foreign nucleic acids. In C. elegans, the PIWI type Argonaute, PRG-1, through an association with 21U-RNAs, mediates a genome surveillance process by constantly scanning the genome for potentially deleterious invading elements. Upon recognition of foreign nucleic acids, PRG-1 initiates a cascade of cytoplasmic and nuclear events that results in heritable epigenetic silencing of these transcripts and their coding genomic loci. If the PRG-1/21U-RNA genome surveillance pathway has the capacity to target most of the C. elegans transcriptome, what mechanisms exist to protect endogenous transcripts from being silenced by this pathway? In this commentary, we discuss three recent publications that implicate the CSR-1 small RNA pathway in the heritable activation of germline transcripts, propose a model as to why not all epialleles behave similarly, and touch on the practical implications of these findings.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.214
Threshold uncertainty score0.715

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.2140.085

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 head0.003
GPT teacher head0.264
Teacher spread0.261 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations21
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueWormSame topicCRISPR and Genetic EngineeringFrench-language works237,207