Effect of overexpression and nuclear translocation of constitutively active PKB‐α on cellular survival and proliferation in HepG2 cells
Bibliographic record
Abstract
Protein kinase B (Akt/PKB) is a key component in the PI 3-kinase mediated cell survival pathway and has oncogenic transformation potential. Although the over-expression of PKB-alpha can prevent cell death following growth factor withdrawal, the long-term effects of stable over-expression of PKB-alpha on cell survival in the absence of growth factors remain to be resolved. In the present study, we generated HepG2 cells with stable expression of active PKB-alpha and compared its characteristics with HepG2 cells. Basal as well as insulin-stimulated levels of Ser(473) and Thr(308) phosphorylation in PKB-alpha transfected HepG2 cells were much higher than HepG2 cells. Constitutive expression of active PKB-alpha enabled HepG2 cells to survive up to 96 h without serum in growth media while HepG2 cells fail to survive after 48 h of serum withdrawal. A strong positive correlation (R(2) = 0.71) between cell proliferation and phosphorylated form of PKB-alpha at Thr(308) was observed along with higher levels of phosphorylated 3'-phosphoinositide-dependent kinase-1 (PDK-1). HepG2 cells with constitutive expression of active PKB-alpha also showed higher levels of phosphorylated p65 subunit of nuclear factor-kappaB (NFkappaB) in comparison with HepG2 cells. Predominant nuclear localization of phosphorylated PKB-alpha was observed in stably transfected HepG2 cells. These results indicate that constitutive expression of active PKB-alpha renders HepG2 cells independent of serum based growth factors for survival and proliferation.
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".