Cytoplasmic Death Signal Triggered by Src-Mediated Phosphorylation of the Adenovirus E4orf4 Protein
Bibliographic record
Abstract
In transformed cells, the adenovirus E4orf4 death factor works in part by inducing a Src-mediated cytoplasmic apoptotic signal leading to caspase-independent membrane blebbing and cell death. Here we show that Src-family kinases modulate E4orf4 phosphorylation on tyrosine residues. Mutation of tyrosines 26, 42, and 59 to phenylalanines inhibited Src-induced phosphorylation of E4orf4 in vivo and in vitro but had no effect on the molecular association of E4orf4 with Src. However, in contrast to wild-type E4orf4, the nonphosphorylatable E4orf4 mutant was unable to modulate Src-dependent phosphorylation and was deficient in recruiting a subset of tyrosine-phosphorylated proteins. Indeed, the Src substrates cortactin and p62dok were found to associate with wild-type E4orf4 but not with the nonphosphorylatable E4orf4. Importantly, the nonphosphorylatable mutant E4orf4 was preferentially distributed in the cell nucleus, was unable to induce membrane blebbing, and had a highly impaired killing activity. Conversely, an activated form of E4orf4 was obtained by mutation of tyrosine 42 to glutamic acid. This pseudophosphorylated mutant E4orf4 was enriched in the cytoplasm and plasma membrane, showed increased binding to phosphotyrosine-containing proteins, and induced a dramatic blebbing phenotype associated with increased cell death. Altogether, our findings strongly suggest that Src-mediated phosphorylation of adenovirus type 2 E4orf4 is critical to promoting its cytoplasmic and membrane localization and is required for the transduction of E4orf4-Src-dependent induction of membrane blebbing. We propose that E4orf4 acts in part by uncoupling Src-dependent signals to drive the formation of a signaling complex that triggers a cytoplasmic death signal.
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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 | 0.000 |
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".