PCL2 modulates gene regulatory networks controlling self-renewal and commitment in embryonic stem cells
Bibliographic record
Abstract
Recent reports have better elucidated the components of the Polycomb Repressive Complex 2 (PRC2) and its functional role in embryonic stem cells (ESCs) and their differentiated derivatives. The depletion of a newly described mammalian PRC2 associated protein, PCL2, leads to an increase in ESC self-renewal and a delay in differentiation, a phenotype similar to knockouts of the core PRC2 members. Genomic and cell biology data suggest that PCL2 is important in cell fate decisions and may play a role in recruitment of PRC2 to target genes and histone methylation. Importantly, depletion of PCL2 in ESCs leads to a decrease in 3meH3K27 at the proximal promoter regions of pluripotency transcription factors Tbx3, Klf4, Foxd3 and a concomitant increase in gene expression. These proteins subsequently activate expression of Oct4, Nanog and Sox2 through a feed-forward gene regulatory circuit, altering the core pluripotency network and driving cell fate decisions towards self-renewal. We propose a model whereby alteration of the epigenetic state of Tbx3, Klf4, and Foxd3 results in the enforced expression of the pluripotency network, preventing differentiation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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".