Expression of Toll‐like receptor 9 in mouse and human lungs
Bibliographic record
Abstract
Toll-like receptors (TLR) recognize conserved molecular motifs of microorganisms, and constitute an important part of the innate immune system. Numerous studies have shown the importance of these receptors, including TLR9, in establishing effective immune responses to a broad range of infections, and in disorders such as COPD. TLR9 detects unmethylated DNA and is expressed in a wide range of immune cells in mice and humans, as well as other species. Most TLR9 expression studies have been done on cultured or isolated cells, but none that we know of on intact lung. Because cell-specific expression of TLR9 is important to understand its precise role in lung physiology, we tested mouse and human lung tissues for expression of TLR9 mRNA and protein with in situ hybridization and immunohistochemistry, respectively. We found TLR9 mRNA and protein expression in bronchial epithelium, vascular endothelium, alveolar septal cells and alveolar macrophages in both species. Immuno-electron microscopy delineated TLR9 expression in plasma membrane, cytoplasm and the nucleus of various lung cells. Lungs from human cases of COPD had significantly increased numbers of TLR9-positive cells. These are the first data showing TLR9 mRNA and protein expression in intact human and mouse lungs. The data may be useful for clarifying the role of TLR9 in the contributions of specific cells to lung physiology.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".