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Record W1980771183 · doi:10.1002/mrd.20634

Homologous regulation of estrogen receptor subtypes in goldfish (<i>Carassius auratus</i>)

2007· article· en· W1980771183 on OpenAlexafffund
Erik R. Nelson, William B. Wiehler, William C. Cole, Hamid R. Habibi

Bibliographic record

VenueMolecular Reproduction and Development · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEstrogen and related hormone effects
Canadian institutionsUniversity of Calgary
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBiologyEstrogen receptorDownregulation and upregulationEstrogenCarassius auratusWestern blotInternal medicineHomologous chromosomeEndocrinologyOvaryEstrogen receptor alphaReceptorGeneGeneticsFish <Actinopterygii>

Abstract

fetched live from OpenAlex

While considerable information is available on the physiological effects of estrogen, much less is known about the regulation of estrogen receptor (ER) subtypes, particularly in non-mammalian vertebrates. Using goldfish as primary experimental model, we investigated sex- and tissue-specific homologous regulation of ER subtypes (ERalpha, ERbetaI, and ERbetaII) by estradiol in vivo, in the liver and gonads. Treatment with estradiol, significantly upregulated transcript levels for all three types of ERs (ERalpha, ERbetaI, and ERbetaII) in the goldfish ovary and testis. In the goldfish liver, treatment with estradiol significantly increased ERalpha, ERbetaI transcript levels without affecting ERbetaII. In all cases increased ER transcript level was correlated with increased ER protein level determined by Western blot analysis, although we are not able to distinguish between ER subtypes. The results provide strong support for the hypothesis that homologous regulation of ERs is tissue- and gender-specific, and may be a mechanism for estrogen-mediated regulation of reproduction in goldfish.

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 score0.002
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)0.0010.000

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 head0.005
GPT teacher head0.220
Teacher spread0.215 · 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

Citations56
Published2007
Admission routes2
Has abstractyes

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