The transcription factor Osr1 regulates epithelial-mesenchymal crosstalk during embryonic bladder development
Bibliographic record
Abstract
Abstract The molecular events that define cell fate decisions during bladder development are poorly characterized. Here, we establish a temporal single-cell atlas when the bladder first arises from the cloaca until its major layers have been established that include the uroepithelium, the lamina propria and the smooth muscle. The analysis resolved the cell origin of ligands and their respective receptors for four major signaling pathways that have been previously implicated in bladder development, SHH, BMP, WNT and FGF. The transcription factor Odd-skipped related 1 is essential for mesenchymal differentiation during organogenesis of the foregut, kidney, limb, ureter and is highly expressed during bladder development. We demonstrate that Osr1 is required for development of the bladder: homozygous loss of Osr1 results in depletion of smooth muscle, loss of extracellular matrix, loss of suburothelial cells, and a less stratified epithelium lacking intermediate and superficial cells. Transcripts within the four major signaling pathways, SHH, BMP, WNT and FGF, were decreased during cellular diversification in bladders from Osr1 homozygous null embryos. In summary, Osr1 is a central mediator of epithelial-mesenchymal crosstalk and cell fate decisions during bladder development.
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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) | 0.002 | 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".