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Record W2014354522 · doi:10.1002/jcb.21832

Association of Sp3 and estrogen receptor α with the transcriptionally active trefoil factor 1 promoter in MCF‐7 breast cancer cells

2008· article· en· W2014354522 on OpenAlexafffund
Lin Li, James Davie

Bibliographic record

VenueJournal of Cellular Biochemistry · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsUniversity of Manitoba
FundersNational Cancer InstituteCancerCare Manitoba Foundation
KeywordsEstrogen receptorRNA polymerase IIMolecular biologyEstrogen receptor betaPromoterEstrogen receptor alphaEstrogenChromatin immunoprecipitationSp1 transcription factorCancer researchTranscription factorBiologyChemistryGene expressionGeneEndocrinologyCancerBreast cancerBiochemistry

Abstract

fetched live from OpenAlex

To further explore the role of Sp1 and Sp3 in the estrogen regulated TFF1 gene transcription, chromatin immunoprecipitation (ChIP) assay was used to determine the association of estrogen receptor alpha (ERalpha), Sp1 and Sp3 with the endogenous trefoil factor 1 (TFF1) gene promoter in MCF-7 breast cancer cells. ERalpha and serine 5 phosphorylated RNA polymerase II, the form of RNA polymerase II associated with transcription initiation, were recruited to the TFF1 gene promoter following estrogen addition to MCF-7 cells cultured under estrogen deplete conditions. Both Sp1 and Sp3 were bound to the TFF1 gene promoter before and after estrogen treatment. Using the re-ChIP assay, we demonstrate that either Sp1 or Sp3 but not both bind to a TFF1 promoter. The co-occupancy of ERalpha and Sp1 on TFF1 promoter remains at similar level with and without estrogen, while that of ERalpha and Sp3 increased in the presence of estrogen. Further, we observed increased co-occupancy of Sp3 and serine 5 phosphorylated RNA polymerase II on the TFF1 promoter after estrogen treatment of cells. Taken together, these results provide evidence that Sp3 and ERalpha are involved in the estrogen induced transcription of the TFF1 gene.

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 score0.004
Threshold uncertainty score0.386

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

Citations11
Published2008
Admission routes2
Has abstractyes

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