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Comparative studies of satellite association and some marker chromosomes in certified and suspected HeLa cells

2009· article· en· W2040696681 on OpenAlexaff
W. K. Heneen

Bibliographic record

VenueHereditas · 2009
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsInstitute of Genetics
Fundersnot available
KeywordsHeLaCentromereBiologySatelliteGeneticsNormal groupHuman cellCellAssociation (psychology)Cell cultureMolecular biologyChromosomeGeneEndocrinologyPhysics

Abstract

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The satellite association (SA) patterns were studied in five human cell lines: HeLa, Lu106, KB, HEp-2 and D98/AH-2. When some aspects of the phenomenon of SA were studied (mean number of SA complexes per cell and the proportion of the normal acrocentrics involved in SA in each cell), it became obvious that Lu106 and KB constituted one group and HEp-2 and D98/AH-2 another group. HeLa had some identities with both groups, but it was more similar to Lu106 and KB than to the other cell lines. The mean numbers and the standard errors of the different normal acrocentric chromosomes per cell were calculated. The standard errors of the acrocentrics were ranked in each cell line. The association tendencies of these chromosomes were ranked in the same manner. A high positive correlation between these aspects were found, which may indicate that a high SA tendency influences non-disjunction. Some marker chromosomes were found in ‘association-like’ configurations with normal acrocentrics. These associations were found most frequently with those markers which possibly include the short arm and other parts of normal acrocentric chromosomes. The results are in favour of a possible common origin of the five cell lines studied.

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 score0.921
Threshold uncertainty score0.135

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 head0.036
GPT teacher head0.263
Teacher spread0.227 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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