[Human toll like receptor gene expression in human pulmonary granule epithelial cells and umbilical vein endothelial cells].
Bibliographic record
Abstract
OBJECTIVE: To determine whether human Toll like receptors (TLRs) genes are expressed in human lung granule epithelial cells and umbilical vein endothelial cells (UVECs). METHODS: Specific primers for TLR2 and TLR4 were designed and total RNAs were isolated from human monocyte cell line THP-1, human lung granule epithelial cell line SPC-A-1 and the primary culture of human UVECs. RT-PCR and Northern blotting with digoxin labeling were used for the detection of TLR2 and TLR4 mRNA expression. RESULTS: TLR4 mRNA expressed in the three types of cells mentioned above. TLR2 mRNA was detected in THP-1 and UVECs, but not in SPC-A-1 cells. By using DNA sequencing, the RT-PCR products were confirmed to be TLR2 and TLR4 cDNAs. CONCLUSION: This study provided evidence indicating that Toll like receptor genes constitutively express not only in human monocytes but also in human larger vascular endothelial cells and pulmonary granule epithelial cells.
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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) | 0.004 | 0.002 |
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".