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Record W2131790399 · doi:10.4161/nucl.2.6.17710

Dare to challenge the silence? Telomeric gene silencing revisited

2011· review· en· W2131790399 on OpenAlexaff
Krassimir Yankulov

Bibliographic record

VenueNucleus · 2011
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsGene silencingBiologyGeneticsSilenceGeneHeterochromatinURA3Psychological repressionSaccharomyces cerevisiaeGene expressionChromatinPhilosophy

Abstract

fetched live from OpenAlex

Gene silencing refers to position-dependent and promoter-independent repression of genes via the establishment and the maintenance of compacted heterochromatin. A very significant part of our knowledge on this phenomenon has been derived from studies in the yeasts S. cerevisiae and S. pombe. The gene silencing analyses in these species very often include the FOA-sensitivity assay, which detects the suppression of a reporter gene (URA3 in S. cerevisiae and URA4 in S. pombe) inserted at genomic locations of choice. Two recent studies have contested the validity of this assay and have set uneasy silence in the field. We are not certain how much of the previously acquired data truly deals with gene silencing. The current article comments on this challenge.

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)0.002
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.004
Scholarly communication0.0020.007
Open science0.0010.002
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0030.004

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 head0.335
Teacher spread0.303 · 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
GenreReview

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

Citations10
Published2011
Admission routes1
Has abstractyes

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