Nuclear Degradation of Wilms Tumor 1-associating Protein and Survivin Splice Variant Switching Underlie IGF-1-mediated Survival
Bibliographic record
Abstract
WTAP (Wilms tumor 1-associating protein) is a recently identified nuclear protein that is essential for mouse embryo development. The Drosophila homolog of WTAP, Fl(2)d, regulates pre-mRNA splicing; however, the role of WTAP in mammalian cells is uncertain. To elucidate a context for WTAP action, we screened growth and survival factors for their effects on WTAP expression in vascular smooth muscle cells (SMCs), a cell type previously found to express WTAP dynamically. This revealed that insulin-like growth factor-1 (IGF-1) uniquely reduced WTAP abundance. This decline in WTAP proved to be necessary for IGF-1 to confer its antiapoptotic properties, which were blocked by transducing the WTAP gene into SMCs. WTAP down-regulation by IGF-1 was mediated by an IGF-1 receptor-phosphatidylinositol 3-kinase-Akt signaling axis that directed WTAP degradation via a nuclear 26 S proteasome. Moreover, by promoting the degradation of WTAP, IGF-1 shifted the pre-mRNA splicing program for the survival factor, survivin, to reduce expression of survivin-2B, which is proapoptotic, and increase expression of survivin, which is antiapoptotic. Knockdown of survivin-2B rescued the ability of IGF-1 to promote survival when WTAP was overexpressed. These data uncover a novel regulatory cascade for human SMC survival based on adjusting the nuclear abundance of WTAP to define the splice variant balance among survivin isoforms.
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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".