Large-scale analysis of imprinting in naive human pluripotent stem cells reveals recurrent aberrations and a potential link to FGF signaling
Bibliographic record
Abstract
Genomic imprinting is a parent-of-origin dependent monoallelic expression of genes. Previous studies showed that conversion of primed human pluripotent stem cells (hPSCs) into naive pluripotency is accompanied by genome-wide loss of methylation that includes imprinted loci. However, the extent of aberrant biallelic expression of imprinted genes is still unknown. Here, we analyze loss of imprinting (LOI) in a large cohort of both bulk and single-cell RNA sequencing samples of naive and primed hPSCs. We show that naive hPSCs exhibit high levels of non-random LOI, with bias toward paternally methylated imprinting control regions. Importantly, we show that different protocols used for the primed to naive conversion led to different extents of LOI, tightly correlated to FGF signaling. This analysis sheds light on the process of LOI occurring during the conversion to naive pluripotency and highlights the importance of these events when modeling disease and development or when utilizing the cells for therapy.
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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 | 0.001 | 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".