Membrane‐associated estrogen receptor and caveolin‐1 are present in central nervous system myelin and oligodendrocyte plasma membranes
Bibliographic record
Abstract
The estrogen receptor (ER) is a member of a superfamily of ligand-regulated transcription factors that were thought to localize primarily to the nucleus; however, a membrane-associated ER that can initiate rapid non-genomic cell-signaling events has been identified recently in various cells. The presence of the ER in myelin has not been reported although the nuclear form has been detected in oligodendrocytes. We have shown that an ER with similarities to ERbeta is present in isolated central nervous system (CNS) myelin, the myelin sheath in spinal cord and brain sections, and the oligodendrocyte plasma membrane using two-dimensional (2D) PAGE, mass spectrometry, peptide mass fingerprinting, Western blotting of 1D and 2D gels, and confocal microscopy. Caveolin-1 was also shown to be present in isolated CNS myelin and oligodendrocyte plasma membranes, where it was partially colocalized with ER. After Triton X-100 extraction of myelin, the ER was present in an insoluble low-density glycosphingolipid-enriched fraction and even more in a higher density fraction also containing caveolin and cytoskeletal elements, suggesting that the membrane form of ER may be associated with caveolin or the radial component of myelin. The discovery of the ER in the oligodendrocyte plasma membrane and within the myelin sheath indicates a potential role for estrogen in myelin maintenance or functions.
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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 | 0.001 | 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".