<i>In vitro</i>effect of N-desulfated heparin on the expression of basic fibroblast growth factor in gastric carcinoma cell line SGC-7901
Bibliographic record
Abstract
AIM: To investigate the effect of N-desulfated heparin on the expression of basic fibroblast growth factor (bFGF) in human gastric carcinoma SGC-7901 cells in vitro. METHODS: Human gastric carcinoma cell line SGC-7901 was cultured in vitro, and then treated with N-desulfated heparin at different concentrations (0.1, 1.0 g/L). Meanwhile, SGC-7901 cells cultured in single RPMI 1640 medium were used as controls. Each group contained 3 paralleled samples. Enzyme-linked immunosorbent assay (ELISA) and real time polymerase chain reaction (PCR) were used to detect the expression of bFGF in SGC-7901 cells at 12 h and 24 h, respectively. RESULTS: After treatment with 0.1 or 1.0 g/L N-desulfated heparin for 12 or 24 h, bFGF protein expression was decreased significantly (t=7.502, P=0.002; t=55.416, P=0.000; t=52.221, P=0.000; t=48.080, P=0.000). The expression of bFGF (CT value) in each N-desulfated heparin group was higher than that in the control group at the same time. The inhibition of N-desulfated heparin on bFGF protein and mRNA expression in SGC-7901 cells was dose-and time-dependent. CONCLUSION: N-desulfated heparin can inhibit the expression of bFGF in gastric cancer cell line SGC-7901 in a dose- and time-dependent manner in vitro.
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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".