Large-Scale Analysis of Loss of Imprinting in Human Pluripotent Stem Cells
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The parent-specific monoallelic expression of imprinted genes is controlled by DNA methylation marks that are established differentially in the germline. Perturbation of these marks leads to loss of imprinting (LOI), which is associated with developmental disorders and malignancy and may also obstruct applications of human pluripotent stem cells (hPSCs). Previous studies of LOI in hPSCs were performed on relatively small numbers of cell lines, often leading to conflicting conclusions regarding imprinting stability. Here, we chart the landscape of LOI in hPSCs by applying a large-scale analysis of allele-specific RNA-seq data from more than 270 hPSC samples. We show that reprogrammed hPSCs acquire higher levels of LOI compared with embryonic stem cells and that LOI can pre-exist in their somatic cells of origin. Furthermore, different imprinted genes vary with respect to LOI incidence, surprisingly revealing that those controlled paternally are more prone to disruption. Our findings emphasize the importance of inspecting the imprinting status of hPSCs.
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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 it