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Record W2082617067 · doi:10.1074/jbc.m602199200

Nsa2 Is an Unstable, Conserved Factor Required for the Maturation of 27 SB Pre-rRNAs

2006· article· en· W2082617067 on OpenAlexaboutno aff
Alice Lebreton, Cosmin Saveanu, Laurence Decourty, Alain Jacquier, Micheline Fromont‐Racine

Bibliographic record

VenueJournal of Biological Chemistry · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsnot available
FundersEuropean CommissionAssociation pour la Recherche sur le Cancer
KeywordsBiologyCancer researchInternal medicineCell biologyGeneticsMedicine

Abstract

fetched live from OpenAlex

In Saccharomyces cerevisiae, a large variety of pre-ribosomal factors have been identified recently, a number of which are still of unknown function. The essential pre-ribosomal 30-kDa protein, Nsa2, was characterized as one of the most conserved proteins from yeast to human. We show here that the expression of the human orthologue TINP1 complements the repression of NSA2 in yeast. Nsa2 was co-purified in several pre-ribosomal complexes and found to be essential for the large ribosomal subunit biogenesis. Like several other factors of the pre-60 S particles, the absence of Nsa2 correlated with a decrease in the 25 S and 5.8 S ribosomal RNA levels, and with an accumulation of 27 SB pre-ribosomal RNA intermediates. We show that Nsa2 is a functional partner of the putative GTPase Nog1. In the absence of Nsa2, Nog1 was still able to associate with pre-ribosomal complexes blocked in maturation. In contrast, in the absence of Nog1, Nsa2 disappeared from pre-60 S complexes. Indeed, when ribosome biogenesis was blocked upstream of Nsa2, this short half-lived protein was largely depleted, suggesting that its cellular levels are tightly regulated.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
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)0.0010.001

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 head0.038
GPT teacher head0.285
Teacher spread0.247 · 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 designBench or experimental
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

Citations43
Published2006
Admission routes1
Has abstractyes

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