MétaCan
Menu
Back to cohort

A guided tour: small RNA function in Archaea

2001· review· en· W1556119657 on OpenAlexafffund
Patrick P. Dennis, Arina D. Omer, Todd M. Lowe

Bibliographic record

VenueMolecular Microbiology · 2001
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of British Columbia
FundersMedical Research CouncilMedical Research Council Canada
KeywordsBiologySmall nucleolar RNAArchaeaPseudouridineTransfer RNAGeneticsRNARibosomal RNARibosomeGenomeRibosome biogenesisMethylationGeneNon-coding RNAComputational biology

Abstract

fetched live from OpenAlex

In eukaryotes, the C/D box family of small nucleolar (sno)RNAs contain complementary guide regions that are used to direct 2'-O-ribose methylation to specific nucleotide positions within rRNA during the early stages of ribosome biogenesis. Direct cDNA cloning and computational genome searches have revealed homologues of C/D box snoRNAs (called sRNAs) in prokaryotic Archaea that grow at high temperature. The guide sequences within the sRNAs indicate that they are used to direct methylation to nucleotides in both rRNAs and tRNAs. The number of sRNA genes that are detectable within currently sequenced genomes correlates with the optimal growth temperature. We suggest that archaeal sRNAs may have two functions: to guide the deposition of methyl groups at the 2'-O position of ribose, which is an important determinant in RNA structural stability, and to serve as a molecular chaperones to help orchestrate the folding of rRNAs and tRNAs at high temperature.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.005

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 head0.036
GPT teacher head0.298
Teacher spread0.262 · 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

Citations134
Published2001
Admission routes2
Has abstractyes

Explore more

Same venueMolecular MicrobiologySame topicRNA modifications and cancerFrench-language works237,207