Isolation of Adult Mouse Pancreatic Epithelial Cells in Vitro by Overall Digestion
Bibliographic record
Abstract
Objective:Pancreatic epithelial cells can turn into the cells which expressing insulin by introduction and they are important source for cell replacement therapy treatment of diabetes.Base on the research of parting digestion,we try to explore a new separation method of pancreatic epithelial cells.Methods:Pancreas was carefully isolated from 4-8 week-old mice under a dissecting microscope.Fat,blood vessels,mesentery,and lymph nodes were carefully removed with pointed tweezers.Pancreatic tissue was incubated in 0.8 mg/ml collagenase IV at 37 ℃ for 20 min.At the conclusion of the digestion period,the pancreatic tissue were gently pipetted and washed to maximize the release of single cells.The single-cell suspension was transferred to a new tube and centrifuged for 5 min at 900 r/min.The supernatant,upper cell debris,DNA floc winding and the middle layer of blood cells were discarded.The milky white cells in the lower layer were resuspended in medium and then inoculated into 6 cm dish.Results:The cells isolated by overall digestion almost are pancreatic epidermal cells.In the 2% serum medium,adherent pancreatic epidermal cells growth into tight cells colony after 6 days.The number of cells isolated by overall digestion is less than parting digestion,but it is convenient to pick the colony and gain more cells.Conclusions:Overall digestion can isolate a group of pancreatic epithelial cells which have strong proliferation and large colony formation ability.This separation method is convenient and fast,for further research of pancreatic stem cells laid the foundation.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.002 |
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".