Phosphatidylinositol 3-kinase: a key regulator in adherens junction formation and function
Bibliographic record
Abstract
The activity of E-cadherin-adhesion complexes is under stringent control of signaling pathways. Conversely, these adhesion complexes are preferential sites for signal transduction. One class of signaling molecules reported to regulate adherens junction and to be activated by adherens junction assembly are phosphatidylinositol 3-kinases. While the exact molecular mechanisms involved are not clear, present data indicate that one of the earliest events likely involves c-Src which is rapidly activated by E-cadherin-mediated cellular aggregation and may facilitate the recruitment and activation of PI3K to E-cadherin-containing complexes. Beta-catenin, gamma-catenin and hDlg which are present at cell-cell adhesions can act as docking proteins for PI3K. Hence, cell-cell interaction leads to PtdIns(3,4,5)P3 production in nascent cadherin contacts triggering the recruitment of proteins containing pleckstrin homology domains including the kinase PKB/Akt and the exchange factors for Rac, Tiam and Vav. PKB/Akt may be involved in the regulation of survival and proliferation while Tiam and Vav may activate Rac, resulting in reorganization of actin cytoskeleton which ultimately serves to mediate adhesive cell-cell recognition as well as epithelial cell differentiation and polarity.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.004 |
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".