Mesenchymally expressed Gli2 fails to rescue Gli2 null lung phenotype
Bibliographic record
Abstract
Previous studies have shown that the Sonic hedgehog(Shh)/Gli signaling pathway is crucial for murine lung development. Both Shh and Gli2 null mice suffer a variety of deficiencies including lobar malformation and hypoplasia of the lung. In the Gli2 null lung, previous studies have shown a 40% reduction in cellular proliferation of the lung mesenchyme. In an attempt to rescue the phenotype of the Gli2 null lung we developed a transgenic mouse which expresses Gli2 in the lung mesenchyme (approximating its native area of expression) using the human versican promoter (hVER). These mice were then crossed for several generations with Gli2 null mice to obtain a mouse expressing the hVER-Gli2 construct in a Gli2 null background. However, these “rescue” mice die at birth due to respiratory insufficiency. On histological examination, it was shown that the hVER-Gli2 construct failed to rescue the left lung isomerism and lung hypoplasia. Closer examination using quantitative real-time PCR revealed an increase in several growth factors (Fgf1, Fgf7, Fgf9, and Fgf10), cell cycle regulators (Cyclin D1, Cyclin D2, and Cyclin E1), as well as several other related signaling molecules (Tbx4, Tbx5, Mycn, and Cdc25b) the exact opposite of which is seen in the Gli2 null lung. Initial examination of effects on whole lung proliferation using immunohistochemistry to Ki67 failed to show any gross changes in lung growth. Supported by the 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".