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Record W2090162392 · doi:10.1139/o05-026

Biochemical characterization of the human placental transcription factor GCMa/1

2005· article· en· W2090162392 on OpenAlexvenueno aff
Chenchen Lin, Mei-Yao Lin, Hungwen Chen

Bibliographic record

VenueBiochemistry and Cell Biology · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsnot available
FundersAcademia SinicaNational Science Council
KeywordsSyncytiotrophoblastBiologyTranscription factorTranscription (linguistics)TATA boxReporter genePromoterCell biologyGeneTrophoblastMolecular biologyTranscriptional regulationGene expressionGeneticsPlacenta

Abstract

fetched live from OpenAlex

Glial cells missing (GCM) proteins are a novel family of zinc-containing transcription factors. Human GCMa/1 is primarily expressed in placental trophoblast cells and regulates SYNCYTIN gene expression, which mediates fusion of cytotrophoblasts to form the syncytiotrophoblast layer of the human placenta. To biochemically characterize the transcriptional activity of GCMa/1, we set up an in vitro transcription system for human GCMa/1 (hGCMa/1). Using G-free reporter constructs carrying multiple copies of wild-type or mutant GCMa-binding site (GBS) in front of a synthetic TATA box, we observed specific transcriptional activities of recombinant hGCMa/1 proteins prepared from a baculovirus--insect cell or Escherichia coli expression system. We further characterized GCMa/1-mediated transcriptional activation on the native syncytin promoter. Using G-free reporter constructs containing the native syncytin promoter, a TATA box downstream of the proximal GBS in the syncytin promoter was shown to be essential for the transcription activation directed by hGCMa/1. Therefore, our results demonstrate positive transcriptional activities of GCMa/1 in vitro and provide a better understanding of GCMa/1-mediated SYNCYTIN gene expression.

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 score0.013
Threshold uncertainty score0.397

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 head0.008
GPT teacher head0.229
Teacher spread0.220 · 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

Citations36
Published2005
Admission routes1
Has abstractyes

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