Serine phosphorylation of NPM-ALK, which is dependent on the auto-activation of the kinase activation loop, contributes to its oncogenic potential
Bibliographic record
Abstract
It is well established that the tumorigenic potential of nucleophosmin (NPM)-anaplastic lymphoma kinase (ALK), an oncogenic tyrosine kinase, is dependent on its tyrosine phosphorylation. Using tandem affinity purification-mass spectrometry, we found evidence of phosphorylation of three serine residues of NPM-ALK (Serine¹³⁵, Serine¹⁶⁴ and Serine⁴⁹⁷) ectopically expressed in GP293 cells. Using a specific anti-phosphoserine antibody and immunoprecipitation, we confirmed the presence of serine phosphorylation of NPM-ALK in all three NPM-ALK-expressing cell lines examined. Similar to the tyrosine phosphorylation, phosphorylation of these serine residues was dependent on the activation status of the kinase activation loop of ALK. All of these three serine residues are biologically important as mutation of any one of these residues resulted in a significant reduction in the tumorigenicity of NPM-ALK (assessed by cell viability and clonogenic assay), which correlated with a substantial reduction in the phosphorylation of extracellular signal-regulated kinase 1/2, c-jun N-terminal kinase and signal transducer and activator of transcription 6. Serine phosphorylation of NPM-ALK appears to be regulated by multiple serine kinases since it was markedly reduced by pharmacologic inhibitors for glycogen synthase kinase-3, casein kinase I or mitogen-activated protein kinases. In summary, our study is the first to identify serine phosphorylation of NPM-ALK and to provide evidence that it enhances the tumorigenic potential of this oncogenic protein.
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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) | 0.001 | 0.000 |
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".