Par6 is phosphorylated by aPKC to facilitate EMT
Bibliographic record
Abstract
The conserved polarity proteins Par6 and aPKC regulate cell polarization processes. However, increasing evidence also suggests that they play a role in oncogenic progression. During tumor progression, epithelial to mesenchymal transition (EMT) delineates an evolutionary conserved process that converts stationary epithelial cells into mesenchymal cells, which have an acquired ability for independent migration and invasion. In addition to signaling pathways that alter genetic programes that trigger the loss of cell-cell adhesion, alternative pathways can alter cell plasticity to regulate cell-cell cohesion and increase invasive potential. One such pathway involves TGFβ-induced phosphorylation of Par6. In epithelial cells, Par6 phosphorylation results in the dissolution of junctional complexes, cytoskeletal remodelling, and increased metastatic potential. Recently, we found that aPKC can also phosphorylate Par6 to drive EMT and increase the migratory potential of non-small cell lung cancer cells. This result has implications with respect to homeostatic and developmental processes involving polarization, and also with respect to cancer progression-particularly since aPKC has been reported to be an oncogenic regulator in various tumor cells.
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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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".