Nck‐1 selectively modulates eIF2αSer51 phosphorylation by a subset of eIF2α‐kinases
Bibliographic record
Abstract
Phosphorylation of the alpha-subunit of the eukaryotic initiation factor 2 (eIF2) on Ser51 is an early event associated with the down-regulation of protein synthesis at the level of translation and initiation of a transcriptional program. This constitutes a potent mechanism to overcome various stress conditions. In mammals, four eIF2alpha-kinases [PKR-like endoplasmic reticulum kinase (PERK), dsRNA-activated protein kinase (PKR), heme regulated inhibitor (HRI) and general control nonderepressible-2 (GCN2)], activated following specific stresses, have been shown to be involved in this process. In this article, we report that the ubiquitously expressed adaptor protein Nck, composed only of Src homology domains and classically implicated in cell signaling by activated plasma membrane receptor tyrosine kinases, modulates eIF2alpha-kinase-mediated eIF2alphaSer51 phosphorylation in a specific manner. Our results show that Nck not only prevents eIF2alpha phosphorylation upon PERK activation, as reported previously, but also reduces eIF2alpha phosphorylation in conditions leading to PKR and HRI activation. By contrast, the overexpression of Nck in mammalian cells fails to attenuate eIF2alphaSer51 phosphorylation in response to amino acid starvation, a stress well known to activate GCN2. This observation is further confirmed by showing that Nck fails to alter eIF2alphaSer51 phosphorylation in Saccharomyces cerevisiae, for which the sole eIF2alpha-kinase is Gcn2p. Our results suggest the existence of a novel mechanism that specifically modulates the phosphorylation of eIF2alpha on Ser51 under various stress conditions.
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".