Caveolin-1 isoform reorganization studied by image correlation spectroscopy
Bibliographic record
Abstract
Caveolae are small, flask shaped invaginations in the cell membrane. They are thought to play a crucial role in cell signaling, endocytosis and intracellular cholesterol transport. Caveolin-1, 2 and 3 are key proteins, which are important for the formation of the invaginations on the cell surface. Caveolin-1 exists in two isoforms: caveolin-1 alpha (a) and caveolin-1 beta (beta). Little is known about the difference between these two isoforms, and less in known about their role in cell signaling. Bone morphogenetic proteins IBMPs) are a subfamily of the TGF beta superfamily and their response is mediated by serine/threonine kinase receptors. Epidermal growth factor (EGF) is known to signal through tyrosine kinase receptors of the ErbB family. Here we report on the aggregation and association of caveolin-1 isoforms with these receptors and the effect of BMP and EGF activation on caveolin-1 distribution in A431 cells. Our data, obtained by application of a family of image correlation spectroscopy tools, indicate that BMP and EGF stimulation lead to a rearrangement of the caveolin-1 isoforms on the cell surface. BMP as well as EGF stimulation leads to a rearrangement of the caveolin-1 P isoform into domains enriched in the caveolin-1 alpha isoform. We further show that about 20-30% of the caveolin-1 present at the surface of the cells co-localize with the EGF and BMP receptors. Using a reporter gene assay sensitive to the activation of the BMP pathway, we show that overexpression of caveolin-1beta inhibits signaling. Our data suggest that the two isoforms of caveolin-1 play different roles on the cell surface and that caveolae are dynamic structures.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".