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Record W2088876376 · doi:10.1074/jbc.m000594200

The Budding Yeast Homolog of the Human EBNA1-binding Protein 2 (Ebp2p) Is an Essential Nucleolar Protein Required for Pre-rRNA Processing

2000· article· en· W2088876376 on OpenAlexafffund
Michael D. Huber, Jessica H. Dworet, Kathy Shire, Lori Frappier, Michael A. McAlear

Bibliographic record

VenueJournal of Biological Chemistry · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of Toronto
FundersMedical Research CouncilMedical Research Council CanadaNational Science Foundation
KeywordsBudding yeastYeastRibosomal RNABiologyCell biologyRNA-binding proteinNucleolusGeneticsSaccharomyces cerevisiaeGeneRNA

Abstract

fetched live from OpenAlex

The human EBP2 protein was found by two-hybrid analysis to interact with the Epstein-Barr virus nuclear antigen 1 (EBNA1). Homologs of human EBP2 can be found in Caenorhabditis elegans, Schizosaccharomyces pombe, and in Saccharomyces cerevisiae, and they all share a conserved 200-300-amino acid block of residues at their C termini. To understand the cellular function of EBP2, we have begun to study the protein in S. cerevisiae. The yeast Ebp2 protein contains N-terminal, nucleolar-associated KKE motifs, and deletion analysis reveals that the C-terminal conserved region is required for the activity of the protein. The EBP2 gene codes for an essential protein that localizes to the nucleolus. Temperature-sensitive ebp2-1 mutants become depleted of ribosomes and cease to divide after several generations at the restrictive temperature of 36 degrees C. This decline in ribosome levels is accompanied by a diminution in the levels of the 35 S-derived recombinant RNAs (rRNAs) (in particular the 25 S and 5.8 S rRNAs). Pulse-chase, Northern, and primer extension analysis of the rRNA biosynthetic pathway indicates that ebp2-1 mutants are defective in processing the 27 SA precursor into the 27 SB pre-rRNA.

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 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 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 score0.007
Threshold uncertainty score0.339

Codex and Gemma teacher scores by category

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 science0.0010.000
Research integrity0.0000.000
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 head0.022
GPT teacher head0.291
Teacher spread0.269 · 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 teacher head, 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

Citations58
Published2000
Admission routes2
Has abstractyes

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