"Manhattan Transfer": Il monumento involontario di OMA alla foce della Mosa.
Bibliographic record
Abstract
Transforming growth factor beta (TGFβ) receptor trafficking regulates many TGFβ-dependent cellular outcomes including epithelial to mesenchymal transition (EMT). EMT in A549 non-small cell lung cancer (NSCLC) cells has recently been linked to the regulation of cellular autophagy. Here, we investigated the role of the autophagy cargo receptor, p62/sequestosome 1 (SQSTM1), in regulating TGFβ receptor trafficking, TGFβ1-dependent Smad2 phosphorylation and EMT in A549 NSCLC cells. Using immunofluorescence microscopy, p62/SQSTM1 was observed to co-localize with TGFβ receptors in the late endosome. Small interfering RNA (SiRNA)-mediated silencing of p62/SQSTM1 resulted in an attenuated time-course of Smad2 phosphorylation but did not alter Smad2 nuclear translocation. However, p62/SQSTM1 silencing promoted TGFβ1-dependent EMT marker expression, actin stress fiber formation and A549 cell migration. We further observed that Smad4-independent TGFβ1 signaling decreased p62/SQSTM1 protein levels via a proteasome-dependent mechanism. Although p62/SQSTM1 silencing did not impede TGFβ-dependent autophagy, our results suggest that p62/SQSTM1 may aid in maintaining A549 cells in an epithelial state and TGFβ1 decreases p62/SQSTM1 prior to inducing EMT and autophagy.
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 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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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".