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Record W2174314114 · doi:10.1089/153623003322234722

Assessment of Chromosomal Abnormalities in Bovine Nuclear Transfer Embryos and in Their Donor Cells

2003· article· en· W2174314114 on OpenAlexafffund
W. Bureau, Vilceu Bordignon, C. Léveillée, Lawrence C. Smith, W.A. King

Bibliographic record

VenueCloning and Stem Cells · 2003
Typearticle
Languageen
FieldMedicine
TopicReproductive Biology and Fertility
Canadian institutionsUniversité de MontréalUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of CanadaUniversity of Guelph
KeywordsBiologyEmbryoKaryotypeMolecular biologyChromosomeCytoplasmFluorescence in situ hybridizationCellCytogeneticsGeneticsGene

Abstract

fetched live from OpenAlex

Chromosomal anomalies were assessed in nuclear transfer (NT) embryos (n = 148) at 1-4-cell stage (n = 88), and morula (n = 60), as well as in donor cells (n = 97) derived from two different cell lines. Two different cytogenetic approaches were used: conventional karyotyping and fluorescent in situ hybridization (FISH) with painting probes, specific for bovine X and Y chromosomes. The total rate of NT embryos with abnormal nuclei was 43%. These anomalies were mainly nuclear fragmentation (30%), hypoploidy/hypoploidy-mixoploidy (9%, n = 14) and hyperploidy/hyperploidy-mixoploidy (3%, n = 5). The incidence at which these anomalies occurred in NT embryos varied according to the donor cell culture and paralleled the frequency of anomalies in donor cells. A higher frequency of total anomalies was observed in NT embryos (55%) derived from the donor cell cultures with the highest incidence of anomalies (23%). An increase in the rate of total anomalies of the cell, after transfer to recipient cytoplasm, was also observed. These results suggest that proper screening of donor cells for chromosomal anomalies must be performed prior to NT procedure. They also suggest that the NT procedure itself might have a detrimental effect on some mechanism of chromosome segregation and distribution during cell division.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.372
Threshold uncertainty score0.350

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)0.0000.000

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 head0.016
GPT teacher head0.246
Teacher spread0.230 · 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 designObservational
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

Citations47
Published2003
Admission routes2
Has abstractyes

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