DNA Methylation Changes at Promoters of Endothelial Cell-enriched Genes during in vitro Differentiation
Bibliographic record
Abstract
This study examined DNA methylation patterns at promoters of endothelial cell (EC)-enriched genes during differentiation of mouse ES cells towards the EC. We have previously shown that eNOS, CD31, VE-cadherin and vWF, which have an EC-enriched pattern of gene expression are differentially methylated between EC and vascular smooth muscle cells. Given that differential promoter DNA methylation is functionally important we asked when these distinct patterns are established. Using the hanging drop method to differentiate ES cells, followed by FACS, we isolated early (EB-day4 VEGFR2-positive) and late (EB-day7 CD31-positive) endothelial progenitor cells. Though current paradigms suggest that lineage-restricted genes are methylated in ES cells, we show heterogeneous promoter DNA methylation. We show DNA demethylation at the CD31 promoter in EB-day 7 CD31-positive cells. In contrast, the eNOS promoter is still heavily methylated in EB-day 7 CD31 positive cells compared with murine EC where there is no DNA methylation.
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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) | 0.000 | 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".