The Novel SPARC Family Member SMOC-2 Potentiates Angiogenic Growth Factor Activity
Bibliographic record
Abstract
SMOC-2 is a novel member of the SPARC family of matricellular proteins. The purpose of this study was to determine whether SMOC-2 can modulate angiogenic growth factor activity and angiogenesis. SMOC-2 was localized in the extracellular periphery of cultured human umbilical vein endothelial cells (HUVECs). Ectopically expressed SMOC-2 was also secreted into the tissue culture medium. In microarray profiling experiments, a recombinant SMOC-2 adenovirus induced the expression of transcripts required for cell cycle progression in HUVECs. Consistent with a growth-stimulatory role for SMOC-2, its overexpression stimulated DNA synthesis in a dose-dependent manner. Overexpressed SMOC-2 also synergized with vascular endothelial growth factor or with basic fibroblast growth factor to stimulate DNA synthesis. Ectopically expressed SMOC-2 stimulated formation of network-like structures as determined by in vitro matrigel angiogenesis assays. Fetal calf serum enhanced the stimulatory effect of overexpressed SMOC-2 in this assay. Conversely, small interference RNA directed toward SMOC-2 inhibited network formation and proliferation. The angiogenic activity of SMOC-2 was also examined in experimental mice by subdermal implantation of Matrigel plugs containing SMOC-2 adenovirus. SMOC-2 adenovirus induced a 3-fold increase in the number of cells invading Matrigel plugs when compared with a control adenoviral vector. Basic fibroblast growth factor and SMOC-2 elicited a synergistic effect on cell invasion. Taken together, our results demonstrate that SMOC-2 is a novel angiogenic factor that potentiates angiogenic effects of growth factors.
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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".