FGD5 deficiency confers defective matrix adhesion and survival among endothelial cells
Bibliographic record
Abstract
FGD5 is a putative Rho family guanine nucleotide exchange factor enriched in vascular endothelial cells (EC). We observed FGD5 expression in human EC and seek to determine FGD5 function. Inhibition of FGD5 expression using RNAi decreased the protein by ~70%. In 3D angiogenesis in vitro, FGD5‐knockdown (kd) EC had 45 +/− 8% reduced sprout outgrowth and sprout length versus non‐silenced (NS) controls. We examined FGD5‐kd EC adhesion to matrix. FGD5‐kd cell adhesion to fibronectin was reduced by 28 +/− 4% vs. NS. Similarly, monolayer electrical impedance was decreased after seeding FGD5‐kd cells versus controls, and impedance increased at slower rate (4.6 +/− 0.6 siNS vs. 2.4 +/− 0.5 siFGD5 Ohm/min) reflecting decreased EC spreading. Apoptosis was examined by measurement of cleaved caspase‐3 expression and subdiploid DNA content. After pro‐apoptotic cyclohexamide and tumor necrosis factor‐α stimulus, FGD5‐kd markedly increased apoptosis (54 +/− 4% vs 34 +/− 8% EC display active caspase‐3 and 54 +/− 4% vs 29 +/− 3% EC have subdipolid DNA among siFGD5 vs siNS‐treated cells respectively). These results indicate that FGD5 in EC is involved in adhesion, survival, and angiogenesis.
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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) | 0.002 | 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".