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Record W2565793297 · doi:10.1080/15476286.2016.1276150

Eukaryotic stand-alone pseudouridine synthases – RNA modifying enzymes and emerging regulators of gene expression?

2017· review· en· W2565793297 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

VenueRNA Biology · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsPseudouridineBiologyGeneEnzymeTranscriptomeGene expressionRNAGeneticsComputational biologyFunction (biology)BiochemistryCell biologyTransfer RNA

Abstract

fetched live from OpenAlex

For a long time, eukaryotic stand-alone pseudouridine synthases (Pus enzymes) were neglected as non-essential enzymes adding seemingly simple modifications to tRNAs and small nuclear RNAs. Most studies were limited to the identification and initial characterization of the yeast Pus enzymes. However, recent transcriptome-wide mapping of pseudouridines in yeast and humans revealed pervasive modification of mRNAs and other non-coding RNAs by Pus enzymes which is dynamically regulated in response to cellular stress. Moreover, mutations in at least 2 genes encoding human Pus enzymes cause inherited diseases affecting muscle and brain function. Together, the recent findings suggest a broader-than-anticipated role of the Pus enzymes which are emerging as potential regulators of gene expression. In this review, we summarize the current knowledge on Pus enzymes, generate hypotheses regarding their cellular function and outline future areas of research of pseudouridine synthases.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.939
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.062
GPT teacher head0.358
Teacher spread0.296 · 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