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Record W2077993289 · doi:10.1016/j.febslet.2007.03.072

Regulation of the BRCA1 promoter in ovarian surface epithelial cells and ovarian carcinoma cells

2007· article· en· W2077993289 on OpenAlexaff
Marcia L. Graves, Lixin Zhou, Gwen MacDonald, Christopher R. Mueller, Calvin D. Roskelley

Bibliographic record

VenueFEBS Letters · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCRISPR and Genetic Engineering
Canadian institutionsQueen's UniversityUniversity of British Columbia
Fundersnot available
KeywordsCREBAP-1 transcription factorTranscription factorOvarian carcinomaCancer researchResponse elementPromoterTranscription (linguistics)Cell cultureBiologyCell biologyChemistryOvarian cancerGeneGene expressionGeneticsCancer

Abstract

fetched live from OpenAlex

As BRCA1 expression is often suppressed in sporadic ovarian carcinoma we characterized the regulation of the 231nt proximal 'L6' fragment of the BRCA1 promoter in two human ovarian surface epithelial cell and two sporadic ovarian carcinoma cell lines. Two individual regulatory elements within L6, the 'RIBS' element and the potential 'CRE' element were each necessary, but alone not sufficient for L6 activation in all four cell lines. The latter element showed some affinity for the CREB transcription factor, but cAMP pathway stimulation failed to promote its activation. This element did, however, interact with, and was activated by, c-Jun and Fra2 which suggests that it can interact with AP1-like transcription factors and that it may act co-operatively with RIBS-binding factors to regulate BRCA1 transcription in ovarian 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 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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)0.0010.001

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 head0.005
GPT teacher head0.222
Teacher spread0.217 · 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

Citations12
Published2007
Admission routes1
Has abstractyes

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