Life and Death in the Placenta: New Peptides and Genes Regulating Human Syncytiotrophoblast and Extravillous Cytotrophoblast Lineage Formation and Renewal
Bibliographic record
Abstract
Differential techniques have revealed several novel genes and peptides involved in trophoblast development including PL74/gdf15/MIC-1, a TGFbeta family cytokine that controls apoptosis and differentiation, PL48, a new serine-threonine protein kinase, serum and glucocorticoid-induced kinase, PBK-1, a tunicamycin-responsive gene, a cathepsin D-like gene (DAP-1) and hypoxia- regulated genes HRF-1,2,6,8 and HIF-1alpha, HIF-1beta, and hEPAS-1. Syncytin, a cell fusion- inducing gene, has been cloned from placenta where it regulates cell fusion. ERV-3 has also been demonstrated to promote cell fusion. These two genes represent the first demonstrated functions of endogenous retroviral sequences in human tissues. Endoglin, PlGF, TGFbeta3, IGF-II, IGFBP-1, and a placental IGFBP protease have found new roles in regulating cytotrophoblast proliferation and invasiveness. A specific placental p105 rasGAP protein has been identified. The homeobox genes DLX4, HB24, MSX2 and MOX2 also likely play a role in development at the epithelial-mesenchymal boundary. Transcription factors such as TEF-5, Hand1, HEB, HASH-2 and two genes represented by ESTs may have regulatory roles in placental development. Evidence suggests that the placenta has an unusual two-cell system for apoptosis regulation in which the cytotrophoblast may direct later apoptotic events in the syncytium, and with syncytialization possibly triggered by the "phosphatidylserine flip". Thus, the placenta is both a rich source of new growth-regulatory substances, and a model system for originating new paradigms of developmental biology.
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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".