VEGF-Induced Endothelial Podosomes via ROCK2-Dependent Thrombomodulin Expression Initiate Sprouting Angiogenesis
Bibliographic record
Abstract
Objective: VEGF (vascular endothelial growth factor) plays a critical role in physiological and pathological angiogenesis. Endothelial 3D podosomes (3DPs) are a type of F-actin-rich membrane microdomain, predominantly found in endothelial tip cells controlled by VEGF signaling during sprouting angiogenesis, such as occurs in retinal vasculature development. The molecular mechanisms governing 3DP formation have not been completely elucidated. Approach and Results: By using in vitro cell models and in vivo mouse models, we study the role of TM (thrombomodulin) in VEGF-induced endothelial 3DPs. Here, we report that VEGF can induce the expression of TM via ROCK2 (Rho-associated coiled-coil kinase 2). Furthermore, ROCK2 can catalyze the phosphorylated activation of ezrin to promote the association of the cytoplasmic domain of TM with F-actin in 3DPs and thereby promote the formation of 3DPs. We used endothelial cells transfected with different TM mutants as models to verify the role of TM domains in 3DPs and angiogenic activity. TM expression in endothelial cells augments angiogenic activity, a response that is dependent on the interaction of the cytoplasmic tail of TM with ezrin, and the integrity of the lectin-like domain of TM. Thus, as compared with wild-type counterparts, mice lacking the lectin-like domain of TM exhibit reduced neovascularization of granulation tissues during cutaneous wound healing and less retinal neovascularization in a model of oxygen-induced retinopathy. Conclusions: VEGF-ROCK2-ezrin-TM-F-actin axis promotes the formation of the lipid raft membrane-associated complex configuration, 3DP, which plays a critical role in mediating tube formation and cell migration of endothelial cells in sprouting 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) | 0.001 | 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".