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Record W1963795233 · doi:10.1089/ars.2006.8.68

Regulation of Globin Gene Transcription by Heme in Erythroleukemia Cells: Analysis of Putative Heme Regulatory Motifs in the p45 NF-E2 Transcription Factor

2006· article· en· W1963795233 on OpenAlexafffund
Amy C. Moore, Mansouria Merad Boudia, Damien Lehalle, Wael Massrieh, Anna Derjuga, Volker Blank

Bibliographic record

VenueAntioxidants and Redox Signaling · 2006
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicHeme Oxygenase-1 and Carbon Monoxide
Canadian institutionsMcGill University
FundersFonds de Recherche du Québec - SantéCanadian Institutes of Health ResearchThalassemia Foundation of Canada
KeywordsHeminHemeGlobinTranscription factorMolecular biologyBiologyTranscription (linguistics)PromoterGeneGene expressionCell biologyChemistryBiochemistry

Abstract

fetched live from OpenAlex

The function of the NF-E2 transcription factor, a p45/small Maf heterodimer, was analyzed in the erythroleukemia cell lines MEL and CB3. In contrast to MEL cells, CB3 cells are null for p45 and thus express only extremely low levels of adult globin transcripts upon induction by agents promoting erythroid differentiation. We investigated the response of erythroleukemia cells to hemin treatment. Hemin rapidly induces beta-globin gene transcript levels in MEL cells, but not in CB3 cells. Stable expression of the large p45 NF-E2 subunit in CB3 cells restores hemin mediated beta-globin gene transcription, suggesting that the presence of a functional NF-E2 is required for strong induction of beta-globin mRNA levels by hemin in erythroleukemia cells. We performed mutagenesis of two potential heme-regulatory motifs (HRMs) in p45 NF-E2 and found that the mutated versions are expressed and can still recognize a NF-E2 DNA binding element. In addition, we showed that p45 NF-E2 HRM mutants are able to restore beta-globin gene transcription in CB3 cells upon induction by hemin. Our results suggest that globin gene activation by heme appears to be independent of the putative HRMs in the p45 subunit of the NF-E2 transcription factor.

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 score0.075
Threshold uncertainty score0.603

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 head0.007
GPT teacher head0.219
Teacher spread0.212 · 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

Citations8
Published2006
Admission routes2
Has abstractyes

Explore more

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