Cholesterol-Dependent Association of Caveolin-1 with the Transducin α Subunit in Bovine Photoreceptor Rod Outer Segments: Disruption by Cyclodextrin and Guanosine 5‘-<i>O</i>-(3-Thiotriphosphate)
Bibliographic record
Abstract
Evidence suggests that caveolins, 21-24 kDa cholesterol-binding proteins that generally reside in specialized detergent-resistant membrane microdomains, act as signaling scaffolds. Detergent-resistant membranes isolated from rod outer segments (ROS) have been previously shown to contain the photoreceptor G-protein, transducin. In this report we show, by subcellular fractionation, that caveolin-1 is an authentic component of purified ROS. We demonstrate that caveolin-1 in ROS almost exclusively resides in low-buoyant-density, cholesterol-rich, detergent-resistant membranes that can be disrupted by cholesterol depletion using methyl-beta-cyclodextrin (MCD). Cholesterol depletion was also observed to extract a pool of transducin alpha (Talpha) from ROS membranes. Immunoprecipitation with anti-caveolin-1 revealed the association of Talpha in the absence of Tbetagamma. Treatment of ROS with MCD resulted in a 2-fold decrease in recovery of Talpha in anti-caveolin-1 immunoprecipitates. This interaction was also completely disrupted when ROS were exposed to light in the presence of guanosine 5'-O-(3-thiotriphosphate) (GTPgammaS), a nonhydrolyzable GTP analogue. In addition, caveolin-1/Talpha association in the immune complex was disrupted by a peptide based on the primary sequence of the caveolin-1 scaffolding domain. Finally, we confirm the colocalization of caveolin-1 and Talpha in photoreceptors by immunofluorescence microscopy. These results strongly suggest that the association between Talpha and caveolin-1 occurs in cholesterol-rich, detergent-resistant membranes and is likely to be dependent upon the activation state of Talpha.
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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) | 0.000 | 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 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".