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Record W2116572990 · doi:10.1017/s1355838200000261

Expression of hTERT and hTR in cis reconstitutes an active human telomerase ribonucleoprotein

2000· article· en· W2116572990 on OpenAlexaff
François Bachand, George Kukolj, Chantal Autexier

Bibliographic record

VenueRNA · 2000
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsBoehringer Ingelheim (Canada)McGill UniversityJewish General Hospital
Fundersnot available
KeywordsTelomeraseTelomerase reverse transcriptaseTelomerase RNA componentRibonucleoproteinBiologyTelomereProtein subunitMolecular biologyRNABiochemistryDNAGene

Abstract

fetched live from OpenAlex

Telomeres in eukaryotic cells are generally synthesized and maintained by the ribonucleoprotein (RNP) telomerase. This enzyme is composed of at least two subunits, the telomerase reverse transcriptase (TERT) and the telomerase RNA. Human telomerase activity can be reconstituted in vitro by the expression of the telomerase protein catalytic subunit (hTERT) in the presence of recombinant human telomerase RNA (hTR) in a rabbit reticulocyte lysate (RRL) system. The hTERT and hTR subunits are independently expressed in vivo, and little is known about the mechanism of their assembly. To facilitate recombinant telomerase RNP formation and reconstitution, we engineered a construct, termed hTERT-hTR cis, in which the 3' end of the hTERT coding sequence was extended by the addition of the sequence encoding hTR. Expression of the hTERT-hTR cis construct in vitro (in RRL) and in vivo (in the yeast Saccharomyces cerevisiae) produced hTERT-hTR transcripts of the predicted size. Active human telomerase was reconstituted by hTERT-hTR cis expression in both RRL and S. cerevisiae. Assembly of functional human telomerase by the bicistronic expression of the protein and RNA components may facilitate the overexpression and reconstitution of this enzyme in heterologous systems.

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 categoriesInsufficient payload (model declined to judge)
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 score0.336
Threshold uncertainty score1.000

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 science0.0000.000
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 head0.018
GPT teacher head0.283
Teacher spread0.265 · 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.

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

Citations21
Published2000
Admission routes1
Has abstractyes

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