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Record W2079809719 · doi:10.1261/rna.7300804

Pseudouridine-guide RNAs and other Cbf5p-associated RNAs in <i>Euglena gracilis</i>

2004· article· en· W2079809719 on OpenAlexafffund
Anthony G. Russell, Murray N. Schnare, Michael W. Gray

Bibliographic record

VenueRNA · 2004
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicProtist diversity and phylogeny
Canadian institutionsDalhousie University
FundersCanada Research ChairsNova Scotia Health Research Foundation
KeywordsPseudouridineBiologyEuglena gracilisEuglenaSmall nucleolar RNAComputational biologyRNAGeneticsLong non-coding RNATransfer RNAGeneChloroplast

Abstract

fetched live from OpenAlex

In eukaryotes, box H/ACA small nucleolar RNAs (snoRNAs) guide sites of pseudouridine (Psi) formation in rRNA. These snoRNAs reside in RNP complexes containing the putative Psi synthase, Cbf5p. In this study we have identified Cbf5p-associated RNAs in Euglena gracilis, an early diverging eukaryote, by immunoprecipitating Cbf5p-containing complexes from cellular extracts. We characterized one box H/ACA-like RNA which, however, does not appear to guide Psi formation in rRNA. We also identified four single Psi-guide box AGA RNAs. We determined target sites for these putative Psi-guide RNAs and confirmed that the predicted Psi modifications do, in fact, occur at these positions in Euglena rRNA. The Cbf5p-associated snoRNAs appear to be encoded by multicopy genes, some of which are clustered in the genome together with methylation-guide snoRNA genes. These modification-guide snoRNAs and snoRNA genes are the first ones to be reported in euglenid protists, the evolutionary sister group to the kinetoplastid protozoa. Unexpectedly, we also found and have partially characterized a selenocysteine tRNA homolog in the anti-Cbf5p-immunoprecipitated sample.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.229
Teacher spread0.219 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations41
Published2004
Admission routes2
Has abstractyes

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