Facio-Genital Dysplasia-5 Regulates Matrix Adhesion and Survival of Human Endothelial Cells
Bibliographic record
Abstract
OBJECTIVE: The function of the endothelial cell (EC)-enriched Rho family guanine nucleotide exchange factor, facio-genital dysplasia-5 (FGD5), is poorly understood. We sought to determine whether FGD5 regulates endothelial cytoskeletal reorganization and angiogenesis. METHODS AND RESULTS: We observed that FGD5 is expressed in primary human EC isolated from sites across the vasculature. Inhibition of FGD5 expression using RNA interference decreased the protein by ≈70%. In 3-dimensional vascular endothelial growth factor-stimulated angiogenesis in vitro, FGD5-deficient endothelial sprout protrusion was markedly blunted versus nonsilenced controls. FGD5 knockdown impaired adhesion to fibronectin and collagen IV and remodeling of matrix adhesion complexes. Similarly, monolayer electric impedance was decreased, and impedance increased at a slower rate after seeding FGD5-deficient cells versus controls, reflecting decreased EC spreading. Further, FGD5 plays a role in cell survival, because expression of cleaved caspase-3 was increased in FGD5-deficient EC after loss of cell-matrix contacts, and proapoptotic tumor necrosis factor-α stimulation elicited EC with subdiploid DNA content among FGD5-deficient EC. Mechanistically, the phosphatidylinositol 3-kinase/Akt pathway that regulates both adhesive and survival signal transduction pathways requires FGD5. Vascular endothelial growth factor-stimulated Akt phosphorylation and downstream forkhead box protein-O1 inactivation is inhibited by FGD5 loss. CONCLUSIONS: FGD5 regulates endothelial adhesion, survival, and angiogenesis by modulating phosphatidylinositol 3-kinase signaling.
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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".