Cultivation of enteroids from fresh and cryopreserved bovine duodenal tissues
Bibliographic record
Abstract
This study aimed to develop a method for intestinal tissue cryopreservation and resuscitation for enteroid cultivation. Two different types of tissues, fresh duodenal tissues (n = 3, from Angus steers) and duodenal tissues cryopreserved in 90% fetal bovine serum (FBS) and 10% dimethyl sulfoxide (DMSO; n=3, from Holstein calves), were collected to develop enteroids. Crypts were isolated using 2 m M EDTA/phosphate-buffered saline from both fresh and cryopreserved tissues and embedded in basement membrane extract. Embedded crypts were seeded in a 24-well plate and cultured in IntestiCult Organoid Growth Medium (Mouse) with inhibitors cocktail and Primocin. The upper opening of crypts became sealed, and crypts formed sphere structures (i.e., enteroids) within 24 h. Primary (passage 0) enteroids showed budding crypt domains from d 3 of cultivation at the earliest. After 7 d of cultivation, enteroids were passaged in a new 24-well plate. Fragments from passaged d 7 enteroids also formed sphere structures within 24 h after seeding and showed budding crypt domains from d 3 of cultivation at the earliest. The area of enteroids was measured in each animal during d 1 to 7 in passage 0 and 1, and the area of enteroids derived from both tissues increased during d 1 to 7 in passage 0 and 1. The area increased from d 1 to 7 of cultivation, and the area of passage 1 was greater than that of passage 0. F-actin staining using phalloidin revealed that brush border microvilli were distributed on the luminal side of the enteroids. In conclusion, a cryopreserved solution consisting of FBS and DMSO is useful for cryopreservation and resuscitation of bovine intestine for enteroid cultivation. This method allows researchers to investigate intestinal function and health in the laboratory using enteroids derived from fresh and cryopreserved tissues collected from cattle.
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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 | 0.001 |
| 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".