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Record W1980325088 · doi:10.1093/nar/gkh511

Humanized telomeres and an attempt to express a functional human telomerase in yeast

2004· article· en· W1980325088 on OpenAlexafffund
Alaji Bah

Bibliographic record

VenueNucleic Acids Research · 2004
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversité de Sherbrooke
FundersCanadian Institutes of Health Research
KeywordsBiologyTelomereTelomeraseYeastGeneticsTelomerase RNA componentTelomerase reverse transcriptaseDNAEvolutionary biologyComputational biologyCell biologyGene

Abstract

fetched live from OpenAlex

The maintenance of telomeric repeat DNA depends on an evolutionarily conserved reverse trans criptase called telomerase. In vitro, only the catalytic subunit and a telomerase-associated RNA are required for the synthesis of species-specific repeat DNA. In an attempt to establish a heterologous system for the study of the human telomerase enzyme, we expressed the two core components and predicted regulatory subunits in the yeast Saccharomyces cerevisiae. We show that adequate substrates for human telomerase can be generated; the expressed enzyme was localized in the nucleus and it had the capacity to synthesize human-specific repeats in vitro. However, there was no evidence for human telomerase activity at yeast telomeres in vivo. Therefore functional replacement of the yeast telomerase by the human enzyme may require additional human-specific components. We also replaced the template region of the yeast telomerase RNA with one that dictates the synthesis of vertebrate repeats and performed a detailed molecular analysis of the composition of the telomeres upon outgrowth of such strains. The results suggest that vertebrate repeats on yeast telomeres are subject to a very high degree of repeat turnover and show that an innermost tract of 50 bp of yeast repeats are resistant to replacement.

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 score0.005

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 integrity0.0000.001
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 head0.095
GPT teacher head0.392
Teacher spread0.297 · 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

Citations24
Published2004
Admission routes2
Has abstractyes

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Same venueNucleic Acids ResearchSame topicTelomeres, Telomerase, and SenescenceFrench-language works237,207