Characterization of c‐Kit and nestin expression during islet cell development in the prenatal and postnatal rat pancreas
Bibliographic record
Abstract
It has been well documented that there are abundant endocrine progenitor cells in the neonatal pancreas. However, little is known of their relative proportions or even their phenotypes. The aim of this study was to examine the normal distribution and characteristics of putative endocrine precursor cells, identified by c-Kit or nestin expression, within the prenatal and postnatal rat pancreas during islet cell development. Here, we provide evidence of the existence of a subset of ductal, islet, and acinar cells with an immature morphology and high proliferative capacity that expressed c-Kit or nestin. The proportion of islet cells expressing c-Kit or nestin was highest at embryonic day 18 (25 +/- 4% and 28 +/- 6%) and decreased significantly by postnatal day 28 (P < 0.01), 1.3 +/- 0.2% and 5.7 +/- 1%, respectively. The expression of nestin mRNA decreased throughout development, while c-Kit mRNA expression was found to slightly increase in the developing pancreas. Coexpression patterns indicated that c-Kit and nestin form two distinct cell populations in the postnatal pancreas, and infrequently coexpress with other pancreatic cell-specific markers. Furthermore, decreased c-Kit and nestin expression in the islets in postnatal life correlated with an increase in cells immunopositive for Pdx-1 compared with birth (36 +/- 5% vs. 60 +/- 3%, P < 0.01), which accompanied a doubling in the proportion of Glut-2-positive cells (39.4 +/- 4% vs. 68.8 +/- 3%, P < 0.01), both of which are mature beta-cell markers. Taken together, these findings suggest that c-Kit- and nestin-expressing cells represent endocrine precursor cells that undergo marked changes in population dynamics during the transition from prenatal to postnatal pancreatic development in the rat. Characterization of the phenotype, relative abundance and location of these cells within the developing pancreas is an important step toward creating a strategy for isolating stem cell populations and modeling islet cell differentiation in vitro.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".