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Record W252126222 · doi:10.1182/blood.v96.1.259

Overexpression of murine fizzy-related (fzr) increases natural killer cell–mediated cell death and suppresses tumor growth

2000· article· en· W252126222 on OpenAlexfundno aff
Chunxiang Wang, Bernard C. Fisk, Madhuri Wadehra, Helen C. Su, Jonathan Braun

Bibliographic record

VenueBlood · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicUbiquitin and proteasome pathways
Canadian institutionsnot available
FundersNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteUniversity of Toronto
KeywordsBiologyCarcinogenesisSuppression subtractive hybridizationLymphomaCancer researchNatural killer cellCell cultureCell growthCellCytotoxicityMolecular biologyGeneImmunologyGene expressionGeneticsIn vitro

Abstract

fetched live from OpenAlex

Fizzy-related (fzr) is a recently identified 7WD domain family member implicated in cell cycle regulation of Drosophila and yeast. In this study, the murine homologue of fzr was isolated by suppression subtractive hybridization as a gene with decreased expression during malignant progression of a murine B-lymphoma cell line. Retroviral overexpression of fzr in B-lymphoma cells reduced tumor formation. Those tumors that did arise had diminished or extinguished retroviral Fzr. Surprisingly, fzr overexpression dramatically increased B-lymphoma cell susceptibility to natural killer cell (NK) cytotoxicity, a host-resistant mechanism for tumor formation in this model system. These findings implicate fzr as a new category of genes suppressing B-cell tumorigenesis and suggest a novel role for fzr in the target cell interaction with NK cells.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.650

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 head0.004
GPT teacher head0.194
Teacher spread0.190 · 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

Citations52
Published2000
Admission routes1
Has abstractyes

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