Kinase Suppressor of Ras Signals through Thr269 of c-Raf-1
Post-publication record
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Bibliographic record
Abstract
We recently established a two-stage in vitro assay for KSR kinase activity in which KSR never comes in contact with any recombinant kinase other than c-Raf-1 and defined the epidermal growth factor (EGF) as a potent activator of KSR kinase activity (Xing, H. R., Lozano, J., and Kolesnick, R. (2000) J. Biol. Chem. 275, 17276-17280). That study, however, did not address the mechanism of c-Raf-1 stimulation by activated KSR. Here we show that phosphorylation of c-Raf-1 on Thr(269) by KSR is necessary for optimal activation in response to EGF stimulation. In vitro, KSR specifically phosphorylated c-Raf-1 on threonine residues during the first stage of the two-stage kinase assay. Using purified wild-type and mutant c-Raf-1 proteins, we demonstrate that Thr(269) is the major c-Raf-1 site phosphorylated by KSR in vitro and that phosphorylation of this site is essential for c-Raf-1 activation by KSR. KSR acts via transphosphorylation, not by increasing c-Raf-1 autophosphorylation, as kinase-inactive c-Raf-1(K375M) served as an equally effective KSR substrate. In vivo, low physiologic doses of EGF (0.001-0.1 ng/ml) stimulated KSR activation and induced Thr(269) phosphorylation and activation of c-Raf-1. Low dose EGF did not induce serine or tyrosine phosphorylation of c-Raf-1. High dose EGF (10-100 ng/ml) induced no additional Thr(269) phosphorylation, but rather increased c-Raf-1 phosphorylation on serine residues and Tyr(340)/Tyr(341). A Raf-1 mutant with valine substituted for Thr(269) was unresponsive to low dose EGF, but was serine- and Tyr(340)/Tyr(341)-phosphorylated and partially activated at high dose EGF. This study shows that Thr(269) is the major c-Raf-1 site phosphorylated by KSR. Furthermore, phosphorylation of this site is essential for c-Raf-1 activation by KSR in vitro and for optimal c-Raf-1 activation in response to physiologic EGF stimulation in vivo.
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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) | 0.000 | 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 | 0.001 |
| 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".