Remote Control of Cell Signaling through Caveolae Mechanics
Bibliographic record
Abstract
SUMMARY Caveolae are invaginated plasma membrane nanodomains traditionally associated with membrane trafficking and signaling. These multifunctional organelles are also essential mechanosensors mediating the cell response to mechanical stress. We investigated the role of caveolae mechanics in regulating various signaling pathways. Single molecule imaging and super resolution microscopy revealed that mechanical stress rapidly triggers caveolae disassembly and the release of caveolin-1 scaffolds, which exhibit enhanced diffusion at the plasma membrane. This promoted direct interaction between the caveolin-1 scaffolding domain and the tyrosine kinase JAK1, leading to the inhibition of its catalytic activity. A similar process was observed for eNOS, PTEN, and PTP1B. Remote control of signaling by caveolae was validated by a theoretical model based on caveolae thermodynamics. These findings establish a novel mechanotransduction paradigm where signaling information is decoded remotely from the initial mechanosensing caveola, through dynamic and reversible assembly of tension-controlled complexes between signaling effectors and caveolin-1 scaffolds.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".