OCT4 Remodels the Phenotype and Promotes Angiogenesis of HUVECs by Changing the Gene Expression Profile
Bibliographic record
Abstract
It has been shown that forced expression of four mouse stem cell factors (OCT4, Sox2, Klf4, and c-Myc) changed the phenotype of rat endothelial cells to vascular progenitor cells. The present study aimed to explore whether the expression of OCT4 alone might change the phenotype of human umbilical vein endothelial cells (HUVECs) to endothelial progenitor cells and, if so, to examine the possible mechanism involved. A Matrigel-based in vitro angiogenesis assay was used to evaluate the angiogenesis of the cells; the gene expression profile was analyzed by an oligonucleotide probe-based gene array chip and validated by RT-QPCR. The cellular functions of the mRNAs altered by OCT4 were analyzed with Gene Ontology. We found that induced ectopic expression of mouse OCT4 in HUVECs significantly enhanced angiogenesis of the cells, broadly changed the gene expression profile and particularly increased the expression of CD133, CD34, and VEGFR2 (KDR) which are characteristic marker molecules for endothelial progenitor cells (EPCs). Furthermore by analyzing the cellular functions that were targeted by the mRNAs altered by OCT4 we found that stem cell maintenance and cell differentiation were among the top functional response targeted by up-regulated and down-regulated mRNAs upon forced expression of OCT4. These results support the argument that OCT4 remodels the phenotype of HUVECs from endothelial cells to EPCs by up-regulating the genes responsible for stem cell maintenance and down-regulating the genes for cell 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) | 0.000 | 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".