Expression of c-Kit receptor tyrosine kinase and effect on β-cell development in the human fetal pancreas
Bibliographic record
Abstract
The receptor, c-Kit, and its ligand, stem cell factor (SCF), are critical for hematopoietic stem cell differentiation and have been implicated in the development, function, and survival of rodent islets. Previously, we reported that exogenous SCF treatments of cultured human fetal (14-16 wk fetal age) islet-epithelial clusters enhanced islet cell differentiation and proliferation (Li J, Goodyer CG, Fellows F, Wang R. Int J Biochem Cell Biol 38: 961-972, 2006). In the present study, we examined the expression pattern of c-Kit in early to midgestation human fetal pancreata and the relevance of c-Kit receptor tyrosine kinase for insulin gene expression and beta-cell survival. c-Kit is expressed in the intact pancreas in a cell-specific manner, with a significant decrease in immunoreactivity in the duct regions from 8 to 21 wk fetal age, paralleled by a significant increase in expression within endocrine regions. These c-Kit-positive cells are highly proliferative and show frequent coexpression with insulin and glucagon. Treatment of islet-epithelial clusters with anti-ACK45 antibody stimulates c-Kit phosphorylation paralleled by a significant increase in PDX-1 and insulin expression, increased cell proliferation, and reduced beta-cell death. In contrast, transient transfection with c-Kit siRNA results in a three- to fourfold decrease in c-Kit, PDX-1, and insulin expression and decreased cell proliferation. This study describes important changes in the distribution and dynamics of c-Kit-expressing cells during human fetal pancreatic neogenesis, suggesting that c-Kit may be a marker for human pancreatic islet progenitor cells. Functional analysis of the c-Kit receptor tyrosine kinase provides evidence that phosphorylation of c-Kit receptor may be involved in mediating early beta-cell differentiation and survival.
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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) | 0.001 | 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 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".