Generation, genomic characterization, and differentiation of triploid human embryonic stem cells
Bibliographic record
Abstract
Humans are diploid organisms, and triploidy in human embryos is responsible for ∼10% of spontaneous miscarriages. Surprisingly, some pregnancies proceed to triploid newborns that suffer from many neuro-developmental disorders. To investigate the impact of triploidy on human development, we generate triploid human embryonic stem cells (hESCs) by fusing isogenic haploid and diploid hESCs. Comparison of the transcriptome, methylome, and genome-wide replication timing shows general similarity between diploid and triploid hESCs. However, triploid cells have a larger volume than diploid cells, demonstrating decreased surface-area-to-volume ratio. This leads to a significant downregulation of cell surface ion channel genes, which are more essential in neural progenitors than in undifferentiated cells, leading to inhibition of differentiation, and it affects the neuronal differentiation ability of triploid hESCs, both in vitro and in vivo. Notably, our research establishes a platform to study triploidy in humans and points to their pathology as observed in triploid embryos.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".