Prevention of cytokine withdrawal-induced apoptosis by Mcl-1 requires interaction between Mcl-1 and Bim
Bibliographic record
Abstract
Growth factor withdrawal from hemopoietic cells results in activation of the mitochondrial pathway of apoptosis. Members of the Bcl-2 family regulate this pathway, with anti-apoptotic members counteracting the effects of pro-apoptotic members. We investigated the effect on Mcl-1 function of mutation at a conserved threonine 163 residue (T163) in its proline, glutamate, serine, and threonine rich (PEST) region. Under normal growth conditions, Mcl-1 half-life increased with alteration of T163 to glutamic acid, but decreased with mutation to alanine. However, both T163 mutants exhibited greater pro-survival effects compared with the wild type, which can be explained by an increased stability of the T163A mutant in cytokine-starved conditions. Both the mutant forms exhibited prolonged binding to pro-apoptotic Bim in cytokine-deprived cells. The extent to which Mcl-1 mutants were able to exert their anti-apoptotic effects correlated with their ability to associate with Bim. We further observed that primary bone marrow derived macrophages survived following cytokine withdrawal as long as Bim and Mcl-1 remained associated. In our study, we were unable to detect a role for GSK-3-mediated regulation of Mcl-1 expression. Based on these results we propose that upon cytokine withdrawal, survival of hemopoietic cells depends on association between Mcl-1 and Bim. Furthermore, alteration of T163 of Mcl-1 may change the protein such that its association with Bim is affected, resulting in prolonged association and increased survival.
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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".