The EGF receptor is activated during mitosis and its cell signaling is mediated differently than in interphase (802.13)
Bibliographic record
Abstract
The Epidermal Growth Factor Receptor (EGFR)‐mediated signaling cascades have been intensely studied, especially as to how they relate to many cancers. It has been proposed that the G0 to S interval is the only portion of the cell cycle regulated by the EGF, and that the activation of the EGFR is inhibited during mitosis (M‐phase) so to preserve energy needs required for mitotic structural changes. Here we show that all the major tyrosine residues in the EGFR C‐terminus that are phosphorylated in interphase are also phosphorylated in nocodazole‐induced M‐phase in response to EGF, indicating full activation of EGFR. We further studied EGF‐induced activation of downstream signaling pathways in M‐phase in comparison to interphase. Some signaling proteins such as PLC‐γ1 and CBL are strongly phosphorylated in M‐phase. While two isoforms of AKT were phosphorylated in interphase, only the AKT2 isoform was phosphorylated in M‐phase. p38 MAPK was constitutively phosphorylated in M‐phase regardless of EGF stimulation. Interestingly, ERK1/2 was not phosphorylated in M‐phase. We further showed that the decoupling of ERK1/2 activation from EGFR activation was due to the incomplete activation of RAF‐1. In conclusion, our results demonstrate that in M‐phase, EGF stimulated strong EGFR activation. The activated EGFR is able to selectively activate certain downstream signaling pathways.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".