The Role of SOX9 Transcription Factor in Pancreatic and Duodenal Development
Bibliographic record
Abstract
Progenitor expansion during development is a highly regulated process dictating the final organ size, while expansion of specific progenitor populators can adjust the final cellular composition of the organ. Understanding factors involved in these pathways is required to develop cell-based therapies such as β-cell transplantation for conditions such as diabetes mellitus. One versatile factor controlling both processes as well as a network of other proteins involved in pancreatic and duodenal development is the transcription factor SOX9. This review will focus on a comparison of SOX9 function during progenitor expansion and differentiation in the developing pancreas and duodenum with specific focus on endocrine development. During human pancreatic development, SOX9 functions in a dose-dependent manner to regulate epithelial progenitor expansion and endocrine differentiation. SOX9 expression is eventually limited to a subset of ductal and centroacinar cells, hypothesized to be the pancreatic stem cell compartment. Similarly, during duodenal development, SOX9 is expressed in most early epithelial progenitors and becomes gradually restricted to proliferative progenitors in the lower crypts, as well as mature Paneth and enteroendocrine cells indicating some differences in functional roles. However, in both developmental contexts, SOX9 is involved in pathways responsible for cellular proliferation and differentiation, such as Notch and Wnt. With its adaptable and central function in progenitor control, SOX9 represents an attractive target for manipulation for in vitro progenitor expansion and differentiation meriting further investigation.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".