Regulation of von Willebrand Factor Gene in Endothelial Cells That Are Programmed to Pluripotency and Differentiated Back to Endothelial Cells
Bibliographic record
Abstract
Endothelial cells play a central role in physiological function and pathophysiology of blood vessels in health and disease. However, the molecular mechanism that establishes the endothelial phenotype, and contributes to its signature cell type-specific gene expression, is not yet understood. We studied the regulation of a highly endothelial-specific gene, von Willebrand factor (VWF), in induced pluripotent stem cells generated from primary endothelial cells (human umbilical vein endothelial cells [HUVEC] into a pluripotent state [HiPS]) and subsequently differentiated back into endothelial cells. This allowed us to explore how VWF expression is regulated when the endothelial phenotype is revoked (endothelial cells to HiPS), and re-established (HiPS back to endothelial cells [EC-Diff]). HiPS were generated from HUVECs, their pluripotency established, and then differentiated back to endothelial cells. We established phenotypic characteristics and robust angiogenic function of EC-Diff. Gene array analyses, VWF chromatin modifications, and transacting factors binding assays were performed on the three cell types (HUVEC, HiPS, and EC-Diff). The results demonstrated that generally cohorts of transacting factors that function as transcriptional activators, and those that contribute to histone acetylation and DNA demethylation, were significantly decreased in HiPS compared with HUVECs and EC-Diff. In contrast, there were significant increases in the gene expression levels of epigenetic modifiers that function as methyl transferases in HiPS compared with endothelial cells. The results demonstrated that alterations in chromatin modifications of the VWF gene, in addition to expression and binding of transacting factors that specifically function as activators, are responsible for establishing endothelial specific regulation of the VWF gene. Stem Cells 2019;37:542-554.
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 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".