Expression of apoptosis-related genes during human preimplantation embryo development: potential roles for the Harakiri gene product and Caspase-3 in blastomere fragmentation
Bibliographic record
Abstract
In order to resolve the mechanisms and reasons of cellular fragmentation it is crucial to understand what genes may be responsible for regulation of this process. We report herein that human oocytes and preimplantation embryos possess abundant levels of transcripts encoding cell death suppressors, Mcl-1, Bcl-x and Bag-1, and the cell death inducer genes, Bax and Caspase-2. Lower but detectable levels of mRNA expression for the Bfl-1/a1, Bcl-w, Harakiri (Hrk) and Caspase-3 genes were also detected during all developmental stages. We also performed analysis of gene expression in single human embryos exhibiting various degrees of fragmentation at the 2-, 4- and 8-cell stages. At the 4-cell stage, embryos displaying 30-50% fragmentation showed a significant increase in Hrk mRNA levels (P = 0.016). Immunostaining with anti-Hrk antibody confirmed increased staining in some, but not all, fragmented embryos. While Caspase-3 transcripts were elevated in both 4- and 8-cell embryos exhibiting a severe degree of fragmentation, this difference did not reach statistical significance. However, accumulation of Caspase-3 mRNA in fragmented embryos was paralleled by an induction of Caspase-3-like activity. These findings suggest that cellular fragmentation in a subset of human preimplantation embryos could be regulated by certain components of a genetic programme of cell death.
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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".