Estrogen Receptors Are Found in Glia and at Extranuclear Neuronal Sites in the Dorsal Striatum of Female Rats: Evidence for Cholinergic But Not Dopaminergic Colocalization
Bibliographic record
Abstract
Estrogens rapidly affect dopamine (DA) neurotransmission in the dorsal striatum (dSTR) and DA-related diseases, such as Parkinson's disease and schizophrenia. How estrogens influence DA function remains unclear, in part, because the ultrastructural localization of estrogen receptors (ER) in the dSTR is not known. Light microscopic studies of the dSTR have suggested the presence of ER. This experiment used electron microscopy to determine whether these ER are at extranuclear sites in the dSTR, providing evidence for a mechanism through which estrogen could rapidly affect DA transmission. The dSTR was labeled with antibodies for ERα, ERβ, and G protein-coupled ER 1 (GPER-1) to confirm whether these ER were present in this brain area. After this, the dSTR was dual labeled with antibodies for ERα or GPER-1 and tyrosine hydroxylase or vesicular acetylcholine transporter to determine whether ER are localized to dopaminergic and/or cholinergic processes, respectively. Ultrastructural analysis revealed immunoreactivity (IR) for ERα, ERβ, and GPER-1 exclusively at extranuclear sites throughout the dSTR. ERα-, ERβ-, and GPER-1-IR are mostly frequently observed in axons and glial profiles but are also localized to other neuronal profiles. Dual labeling revealed that ERα- and GPER-1-IR is not associated with DA axons and terminals but is sometimes associated with cholinergic neurons. Because these receptors are exclusively extranuclear in the dSTR, binding at these receptors likely affects neurotransmission via nongenomic mechanisms.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".