Analysis of Human Uniparental Embryonic Stem Cells Reveals New Putative Imprinted Loci
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
Genomic imprinting, an epigenetic process resulting in parent-specific gene expression, is essential for normal development and growth. Disruption of imprinting leads to various developmental disorders and cancers, yet our understanding of the full repertoire of imprinted genes in humans remains incomplete. Here, we utilised androgenetic, parthenogenetic and biparental human embryonic stem cells and their neural derivatives to identify novel imprinted genes by analysing their methylome and transcriptome profiles. Our analysis revealed 12 novel putative imprinted genes distributed across four distinct loci, with six of them clustered in an uncharacterised imprinted region on chromosome 19. We identified potential imprinting control regions regulating this novel cluster, suggesting a coordinated regulatory mechanism. Notably, these imprinted genes are enriched in cancer-related pathways, with several showing isoform-specific imprinting patterns. Our analysis also revealed consistent DNA methylation aberrations in pluripotent stem cells at specific imprinted loci, highlighting potential epigenetic instability during culturing. These findings contribute to our understanding of genomic imprinting regulation in human development and highlight potential genomic regions for further investigation of imprinting-related disorders.
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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