Bibliographic record
Abstract
The epidermal growth factor (EGF) receptor (EGFR) is a receptor tyrosine kinase (RTK) that controls components of cell physiology including proliferation, survival, and metabolism. EGF stimulation elicits EGFR phosphorylation and activation of phosphatidylinositol-3- kinase (PI3K), leading to Akt activation. EGF-stimulated Akt phosphorylation is dependent on clathrin coated pits (CCPs), but not receptor endocytosis. One of the many proteins that are known to bind to clathrin directly is Activated Cdc42 Kinase 1 (Ack1), a non-receptor tyrosine kinase implicated in oncogenic RTK signaling and tumor cell survival. Here, I examine how Ack1 contributes to EGFR signaling. Using siRNA gene silencing of Ack1 combined with western blotting, I found a significant decrease in EGF-stimulated Akt phosphorylation. Using the same methods, I found a significant increase in the amount of total EGFR. These results indicate a critical role for Ack1 in EGFR signaling, particularly for the activation of PI3K-Akt signaling.
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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".