MétaCan
Menu
Back to cohort
Record W1886169547 · doi:10.1593/neo.12446

Selected Telomere Length Changes and Aberrant Three-dimensional Nuclear Telomere Organization during Fast-Onset Mouse Plasmacytomas

2012· article· en· W1886169547 on OpenAlexafffund
Alexandra Kuzyk, Sabine Mai

Bibliographic record

VenueNeoplasia · 2012
Typearticle
Languageen
FieldMedicine
TopicTelomeres, Telomerase, and Senescence
Canadian institutionsCancerCare ManitobaUniversity of Manitoba
FundersCanadian Institutes of Health Research
KeywordsTelomereBiologyTelomeraseMolecular biologyGeneticsDNAGene

Abstract

fetched live from OpenAlex

Mouse plasmacytoma (PCT) can develop within 45 days when induced by a v-abl/myc replication-deficient retrovirus. This fast-onset PCT development is always associated with trisomy of cytoband E2 of mouse chromosome 11 (11E2). Trisomy of 11E2 was identified as the sole aberration in all fast-onset mouse PCTs in [T38HxBALB/c]N congenic mice, with a reciprocal translocation between chromosome X and 11 (rcpT(X;11)) (Genes Cancer 2010;1:847-858). Using this mouse model, we have now examined the overall and individual telomere lengths in fast-onset PCTs compared with normal B cells using two-dimensional and three-dimensional quantitative fluorescent in situ hybridization of telomeres. We found fast-onset PCTs to have a significantly different three-dimensional telomere profile, compared with primary B cells of wild-type littermates with and without rcpT(X;11) (P < .0001 and P = .006, respectively). Our data also indicate for primary PCT cells, from the above mouse strain, that the translocation chromosome carrying 11E2 is the only chromosome with telomere lengthening (P = 4 x 10(-16)). This trend is not seen for T(X;11) in primary B cells of control [T38HxBALB/c]N mice with the rcpT(X;11). This finding supports the concept of individual telomere lengthening of chromosomes that are functionally important for the tumorigenic process.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.180
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
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 head0.010
GPT teacher head0.216
Teacher spread0.206 · 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 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

Citations12
Published2012
Admission routes2
Has abstractyes

Explore more

Same venueNeoplasiaSame topicTelomeres, Telomerase, and SenescenceFrench-language works237,207