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Record W2047219476 · doi:10.1089/027245701750293484

Monoclonal Antibodies to Kaiso: A Novel Transcription Factor and p120 <sup>ctn</sup> -Binding Protein

2001· article· en· W2047219476 on OpenAlexaff
Juliet M. Daniel, Reneé C. Ireton, Albert B. Reynolds

Bibliographic record

VenueHybridoma · 2001
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsMcMaster University
FundersNational Cancer InstituteNational Institutes of HealthVanderbilt University
KeywordsTranscription factorImmunoprecipitationZinc fingerCell biologyMonoclonal antibodyBiologyChemistryAntibodyBiochemistryGeneticsGene

Abstract

fetched live from OpenAlex

The POZ-zinc finger protein Kaiso belongs to a rapidly growing superfamily of BTB/POZ zinc finger transcription factors implicated in embryonic development and cancer. Kaiso interacts with the catenin p120(ctn), but the significance of the interaction remains unknown. Although p120(ctn) is normally found in association with E-cadherin at cell-cell junctions, it can translocate to the nucleus under certain circumstances. Thus, the p120(ctn)-Kaiso interaction may regulate transcriptional events, as has been described previously for the classical catenin, beta-catenin and the LEF1/TCF transcription factor. To facilitate further study of Kaiso and to determine the physiological relevance of its interaction with p120(ctn), we have generated and characterized a panel of five Kaiso-specific monoclonal antibodies (MAbs) that function in immunoblotting, immunoprecipitation, and immunofluorescence analyses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.002

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 head0.244
Teacher spread0.229 · 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 source (direct Gemma or distilled Codex), 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

Citations22
Published2001
Admission routes1
Has abstractyes

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