Transcriptional Up-regulation of Endothelial Cell Matrix Metalloproteinase-2 in Response to Extracellular Cues Involves GATA-2
Bibliographic record
Abstract
Matrix metalloproteinase-2 (MMP-2) plays a critical role in endothelial cells during the processes of angiogenesis and vascular remodeling. Endothelial cell production of MMP-2 is greatly enhanced when cells are cultured within a three-dimensional type I collagen matrix coinciding with the increased invasive and migratory phenotype of the cells. To define the transcriptional regulation of MMP-2 in rat microvascular endothelial cells, we performed promoter-reporter assays with a series of promoter truncations. Activity of the full promoter was significantly greater in cells cultured within three-dimensional type I collagen compared with cells cultured as a monolayer (two-dimensional) on type I collagen. Truncation of the region encompassing base pairs -1562 to -1375 (relative to the start codon) of the MMP-2 promoter resulted in loss of this differential activity of the MMP-2 promoter. Analysis of this region indicated two putative GATA-2 binding domains between -1437 and -1387. Southwestern blot analysis and electrophoretic mobility shift assays confirmed the binding of GATA-2 to this region of the MMP-2 promoter. Overexpression of GATA-2 in COS-7 cells significantly increased the activity of the full-length MMP-2 promoter-luciferase construct. Endothelial cells expressed greater levels of GATA-2 protein in three-dimensional compared with two-dimensional cultures, and activity of the -1437/-1387 region of the MMP-2 promoter was significantly greater in three-dimensional cultured endothelial cells. Together, these results indicate GATA-2 regulation of the MMP-2 promoter in endothelial cells and that the GATA-2 binding domain is sufficient to drive increased activity of the MMP-2 promoter in response to an extracellular matrix stimulus.
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".