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Record W2006282544 · doi:10.1074/jbc.275.5.3675

Expression of a Human β-Globin Transgene in Mice with the CACC Motif and Upstream Sequences Deleted from the Promoter Still Depends on Erythroid Krüppel-like Factor

2000· article· en· W2006282544 on OpenAlexaff
Louis-Georges Guy, Nathalie Delvoye, Lee Wall

Bibliographic record

VenueJournal of Biological Chemistry · 2000
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsMolecular biologyTransgeneBiologyGenePromoterReporter geneGlobinGene expressionTranscription factorTransfectionTranscription (linguistics)Regulation of gene expressionRegulatory sequenceGenetically modified mouseGenetics

Abstract

fetched live from OpenAlex

Mice in which the erythroid Krüppel-like Factor (EKLF) gene is inactivated die in fetal life due to down-regulation of the beta-globin gene. Results have suggested that EKLF functions through the proximal CACC motif of the beta-globin promoter. For example, natural mutations of this element that fail to bind EKLF give reduced gene expression and the ability of EKLF to activate reporter genes in co-transfection assays is dependent on an intact CACC. Here, removal of the CACC motif and upstream promoter sequences from the beta-globin gene resulted in reduced expression in transgenic mice. However, breeding onto an EKLF-/- background demonstrated that a CACC-less beta-globin transgene remains highly dependent on EKLF. Hence, although the beta-globin gene partly depends on the proximal CACC motif for expression, it is unlikely that the major mechanism of gene activation by EKLF is through this element. We also show that a lacZ reporter gene linked to the beta-globin promoter, with or without the CACC box present, is actually expressed higher in EKLF-/- fetuses than in wild type animals, suggesting that EKLF may be able to act as an inhibitor of transcription with certain transgene configurations.

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 score0.040
Threshold uncertainty score0.478

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 integrity0.0000.001
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 head0.244
Teacher spread0.228 · 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

Citations10
Published2000
Admission routes1
Has abstractyes

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