Synthesis of TGF-β <sub>1</sub> by Vascular Endothelial Cells is Correlated with Cell Spreading
Bibliographic record
Abstract
Cultured vascular endothelial cells (ECs) secrete transforming growth factor beta (TGF-beta) which stimulates intimal smooth muscle cells to synthesize increased amounts of lipoprotein-binding proteoglycans. We report here that the amount of TGF-beta 1 synthesized by ECs is correlated with EC density and cell spreading. ECs cultured at low density synthesized and secreted 2- to 3-fold more TGF-beta, measured by the Mink lung cell assay, than intermediate and high density cultures, and this increase in secreted protein was matched by a corresponding increase in mRNA for TGF-beta 1 measured by Northern hybridization using a [32P]-labeled cDNA probe for TGF-beta 1. TGF-beta 1 mRNA was detected in individual cells by in situ hybridization with the cDNA probe labeled with [35S] and with a [35S]-labeled 30-mer antisense oligonucleotide. In situ mRNA levels did not relate to cell density per se but to cell area. The larger the area of substratum covered, the more mRNA per cell, irrespective of cell density. For cell areas in the range 500-1,200 microns 2, a doubling of cell area resulted in an approximately 3-fold increase in mRNA. Cells cultured at low density had a larger mean cell area than cells cultured at higher densities, and this increased area was sufficient to account for the increased TGF-beta 1 mRNA levels found for the low density cultures by Northern hybridization. Despite variations in cell area, cell volumes did not change significantly with cell density.(ABSTRACT TRUNCATED AT 250 WORDS)
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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 | 0.001 |
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".