Nucling Recruits Apaf-1/Pro-caspase-9 Complex for the Induction of Stress-induced Apoptosis
Bibliographic record
Abstract
Nucling is a novel protein isolated from murine embryonal carcinoma cells with an up-regulated expression during cardiac muscle differentiation. We show here that Nucling was up-regulated by proapoptotic stimuli and important for the induction of apoptosis after cytotoxic stress. We further demonstrated that overexpressed Nucling was able to induce apoptosis. In Nucling-deficient cells, the expression levels of Apaf-1 and cytochrome c, which are the major components of an apoptosis-promoting complex named apoptosome, were both down-regulated under cellular stress. A deficiency of Nucling also conferred resistance to apoptotic stress on the cell. After UV irradiation, Nucling was shown to reside in an Apaf-1/pro-caspase-9 complex, suggesting that Nucling might be a key molecule for the formation and maintenance of this complex. Nucling induced translocation of Apaf-1 to the nucleus, thereby distributing the Nucling/Apaf-1/pro-caspase-9 complex to the nuclear fraction. These findings suggest that Nucling recruits and transports the apoptosome complex during stress-induced apoptosis.
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 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".