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Record W2028703108 · doi:10.1002/dvg.20359

Establishment of conditional knockout alleles for the gene encoding the regulator of telomere length (RTEL)

2007· article· en· W2028703108 on OpenAlexaff
Xiaoli Wu, Sumit Sandhu, Hao Ding

Bibliographic record

Venuegenesis · 2007
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBiologyConditional gene knockoutNull alleleTelomereAlleleCre recombinaseGeneticsEmbryonic stem cellTransgeneGene knockoutGenome instabilityGeneHomologous recombinationGene targetingGenetically modified mouseCell biologyDNA damageDNAPhenotype

Abstract

fetched live from OpenAlex

Regulator of telomere length (RTEL) is a DNA helicase-like protein that has recently been demonstrated to be required for the maintenance of telomere length and genomic stability. Rtel null mice are embryonic lethal with the defects in the nervous system, the heart, the vasculature, and extra-embryonic tissues. Rtel could also be important for the postnatal development as its expression is strongly induced in the proliferating adult cells. To further characterize the role of RTEL in adult tissue function and homeostasis, we have generated the floxed (loxP-flanked) alleles allowing to inactivate RTEL through Cre-mediated recombination in a cell- or tissue-specific manner and also to circumvent the embryonic lethality of the Rtel null allele. Mice heterozygous or homozygous for these alleles are viable and fertile. Crossing the floxed Rtel allele with a ubiquitous Cre transgenic line resulted in embryonic defects identical to those previously described for the Rtel null embryos. These conditional alleles will therefore be the important genetic tools for dissecting the spatial and temporal roles of RTEL in the regulation of telomere length and genomic stability during postnatal development and tumorigenesis.

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)0.001
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 score0.297
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0000.000

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 head0.027
GPT teacher head0.283
Teacher spread0.256 · 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

Citations10
Published2007
Admission routes1
Has abstractyes

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