Activin Receptor-Like Kinase 7 Induces Apoptosis through Up-Regulation of Bax and Down-Regulation of Xiap in Normal and Malignant Ovarian Epithelial Cell Lines
Bibliographic record
Abstract
Transforming growth factor-beta superfamily has been implicated in tumorigenesis. We have recently shown that Nodal, a member of transforming growth factor-beta superfamily, and its receptor, activin receptor-like kinase 7 (ALK7), inhibit proliferation and induce apoptosis in human epithelial ovarian cancer cell lines. In this study, we further investigated the cellular mechanisms underlying the apoptotic action of ALK7 using an immortalized ovarian surface epithelial cell line, IOSE397, and an epithelial ovarian cancer cell line, OV2008. Infection of these cells with an adenoviral construct carrying constitutively active ALK7 (Ad-ALK7-ca) potently induced cell death; all cells died after 3 and 5 days of Ad-ALK7-ca infection in IOSE397 and OV2008 cells, respectively. ALK7-ca induced the expression of proapoptotic factor Bax but suppressed the expression of antiapoptotic factors Bcl-2, Bcl-XL, and Xiap. Silencing of Bax by small interfering RNA in IOSE397 cells significantly reduced ALK7-ca-induced apoptosis as measured by terminal deoxynucleotidyl transferase-mediated dUTP nick end labeling assay but partially blocked ALK7-ca-induced caspase-3 activation and did not affect the down-regulation of Xiap by ALK7-ca. Dominant-negative Smad2, Smad3, and Smad4 blocked ALK7-ca-regulated Xiap and Bax expression and caspase-3 activation. Thus, ALK7-induced apoptosis is at least in part through two Smad-dependent pathways, Bax/Bcl-2 and Xiap.
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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".