Immunohistochemical Localization and Multi‐gene Expression Profiling of O2 Sensor Components in Airway Chemoreceptors
Bibliographic record
Abstract
Pulmonary neuroepithelial bodies (NEB) are airway chemoreceptors that express a membrane bound O2 sensor molecular complex (NADPH oxidase coupled to an O2 sensitive K+ channel). We used confocal immunofluorescence microscopy with specific antibodies against NADPH components and O2 sensitive K+ channels (K+O2) to label NEB in rat /rabbit lung and NEB related H146 tumor cell line. For gene expression profiling of NEB cells microdissected from human lung, and H146 cells, we used a custom MultiGene‐12TM RT‐PCR array that included NADPH oxidase complex and homologues /accessory proteins (NOX1‐4, phox‐p22, p40, p47, p67, Rac1, NOXO1 and NOXA1) and K+O2 channels (TASK1‐3, Kv ‐1.2,1.5, 2.1, 3.1, 3.3, 3.4, 4.2, 4.3). In rat lung, NOX2, NOX4, p22phox, TASK1 and Kv3.3 (and Kv3.4 in rabbit) localized mainly to the apical plasma membrane of NEB cells, and membrane or sub‐membrane regions in H146 cells. NOX2 co‐localized with p22phox, p40phox, p47phox and Kv3.3, while NOX4 co‐localized with TASK1. Gene expression profiling of NEB/H146 cells confirmed the presence of all NOX proteins except NOX3 and NOXO1, as well as all common K+O2 channels, except Kv1.5 and Kv4.3. Adjacent airway epithelial cells expressed only TASK2, Kv2.1, Kv3.4 and Kv4.2. Present findings support the plasma membrane model of O2 sensing by airway chemoreceptors that appears to be cell and organ specific. (Supported by grants from CIHR)
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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 | 0.001 | 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".