The BH3 only Bcl-2 family member BNIP3 regulates cellular proliferation
Bibliographic record
Abstract
The BH3-only family member BNIP3 has been described as either promoting cell survival or cell death. This depends upon the level of BNIP3 expression and its cellular localization. Increased BNIP3 expression under hypoxia contributes to cell death through increased mitochondrial dysfunction. Furthermore, mice lacking BNIP3 show inhibition of ischemic cardiomyocyte apoptosis. In contrast, nuclear localization of BNIP3 contributes to blockage of apoptosis in glioma cells through repression of pro-apoptotic genes. We have discovered that mouse embryonic fibroblasts (MEFs) lacking BNIP3 expression show increased proliferation and cell number compared to wild-type cells. Furthermore, the cells lacking BNIP3 showed increased MAPK activation. Increased proliferation was not due to decreased cell death as oxidative stress induced cell death in BNIP3 null MEFs. In addition, we isolated astrocytes from wild-type or embryonic mice lacking expression of BNIP3. There was increased density and cell number in the astrocytes lacking BNIP3 expression. To confirm these results in human cells, we inducibly expressed BNIP3 in human embryonic kidney (HEK293) cells and found that induced BNIP3 reduced cell proliferation and failed to change background cell death levels. Transient over-expression of BNIP3 in the nucleus of HEK293 cells also reduced DNA synthesis. Finally, to determine whether this increased proliferation occurs in mice lacking BNIP3, we isolated brains from wild-type mice or those lacking BNIP3 expression. The mice lacking BNIP3 had increased cellularity in the brain of embryonic and adult mice. Taken together, our study describes a new function for BNIP3 in the regulation of cellular proliferation.
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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 | 0.001 |
| 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".