THE EFFECT OF FADROZOLE-INDUCED ESTROGEN WITHDRAWAL ON GENE EXPRESSION PROFILES IN NEUROENDOCRINE BRAIN IN GOLDFISH (Carassius auratus)
Bibliographic record
Abstract
Fish represent unique models to study the role of neuroestrogen in because of extremely high aromatase activity in neuroendocrine regions. The B-subtype of aromatase (AroB; with active estrogen-response elements in the promoter) is localized in radial glial cells and locally converts testosterone to E2 (17beta-estradiol). While some target genes have been identified, very few studies have attempted to define the estrogen-regulated transcriptome in the vertebrate brain. In our study we exposed sexually mature female goldfish in March and April (peak of AroB activity and maximal gonadal size) to the Aro inhibitor fadrozole (50 μg/L). Serum E2 significantly decreased (4.7 fold) demonstrating effective fadrozole treatments. Real-time PCR assessment indicated that AroB expression in the telencephalon (TEL) decreased (7 fold) after treatment. Expression profiling fadrozole actions in the TEL was performed using our AURATUS cDNA microarray with statistical evaluation; 223 genes were up-expressed and 21 genes were down-expressed (fold change 1.4). Some of these genes (Fatty acid-binding protein, apolipoprotein Eb) have been previously shown to be estrogen-responsive. However, many neuroendocrine genes including ependymin-1, secreotgranin-II, brain preprosomatostatin-14, activin BA and numerous uncharacterizes expressed sequence tags may be novel estrogen targets. Supported by NSERC. (poster)
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".