Analysis of Human Uniparental Embryonic Stem Cells Reveals New Putative Imprinted Loci
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.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".