Modified methods for isolation of pancreatic stellate cellsfrom human and rodent pancreas
Bibliographic record
Abstract
Primary cultures of pancreatic stellate cells (PSCs) remain an important basis for in vitro study. However, effective methods for isolating abundant PSCs are currently lacking. We report on a novel approach to isolating PSCs from normal rat pancreases and human pancreatic ductal adenocarcinoma (PDAC) tissue. After anaesthesia and laparotomy of the rat, a blunt cannula was inserted into the pancreatic duct through the anti-mesentery side of the duodenum, and the pancreas was slowly infused with an enzyme solution until all lobules were fully dispersed. The pancreas was then pre-incubated, finely minced and incubated to procure a cell suspension. PSCs were obtained after the cell suspension was filtered, washed and subject to gradient centrifugation with Nycodenz solution. Fresh human PDAC tissue was finely minced into 1×1×1 mm3 cubes with sharp blades. Tissue blocks were placed at the bottom of a culture plate with fresh plasma (EDTA-anti-coagulated plasma from the same patient, mixed with CaCl 2) sprinkled around the sample. After culture for 5–10 days under appropriate conditions, activated PSCs were harvested. An intraductal perfusion of an enzyme solution simplified the procedure of isolation of rat PSCs, as compared with the multiple injections technique, and a modified outgrowth method significantly shortened the outgrowth time of the activated cells. Our modification in PSC isolation methods significantly increased the isolation efficiency and shortened the culture period, thus facilitating future PSC-related research.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.010 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".