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Record W2005979886 · doi:10.1251/bpo140

Identification of a calcitriol-regulated Sp-1 site in the promoter of human CD14 using a combined western blotting elect rophoresis mobility shift assay (WEMSA)

2008· article· en· W2005979886 on OpenAlexaff
Alireza Moeenrezakhanlou, Devki Nandan, Neil E. Reiner

Bibliographic record

VenueBiological Procedures Online · 2008
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicRNA modifications and cancer
Canadian institutionsUniversity of British ColumbiaVancouver Coastal Health Research Institute
Fundersnot available
KeywordsCalcitriolElectrophoretic mobility shift assayTranscription factorMolecular biologyWestern blotCalcitriol receptorTranscription (linguistics)Binding siteCD14BlotNorthern blotChemistryBiologyCell biologyGene expressionGeneBiochemistryEndocrinologyVitamin D and neurology

Abstract

fetched live from OpenAlex

Calcitriol (1alpha, 25-dihydroxyvitamin D(3)) induces the expression of CD14 in mononuclear phagocytes. The mechanisms accounting for this have been unclear since the promoter of CD14 does not contain a canonical vitamin D response element (VDRE). Calcitriol has been shown to regulate the activity of the transcription factor Sp-1 and our analysis of the proximal promoter of CD14 indicated the presence of four Sp-1-like binding sequences. To identify which of these sites might be involved in the response to calcitriol, we used a system incorporating an electrophoretic mobility shift assay (EMSA) coupled to Western blot analysis (WEMSA). Using WEMSA, we found that only one of the Sp-1-like binding sequences, located at position -91 to -79 (relative to the transcription start site), bound the transcription factor Sp1. Sp-1 binding to this site was demonstrable using nuclear extracts from control cells. Notably, binding activity was attenuated in nuclear extracts prepared from cells that had been incubated with calcitriol, thus suggesting Sp-1 involvement in calcitriol induction of CD14 expression. Notably, these results show that like EMSA, WEMSA can be broadly applied to aid in the identification of transcription factors involved in regulating gene expression. WEMSA, however, offers a number of distinct advantages when compared with conventional EMSA. Antibodies used for WEMSA often provide less ambiguous signals than those used in EMSA, and these do not have to recognize epitopes under native conditions. In addition, WEMSA does not require the use of labeled oligos, thus eliminating a significant expense associated with EMSA.

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)0.001
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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.041
GPT teacher head0.314
Teacher spread0.273 · 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
Published2008
Admission routes1
Has abstractyes

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