Culture and Cryopreservation of Fibroblasts from Sheep Skin Tissue Stored at 4
Bibliographic record
Abstract
This study was carried out to investigate whether the skin fibroblasts from the dying rare animals could be utilized as donor cells in somatic cell nuclear transfer for the production of cloned mammals.The skin tissues from auricle of young sheep were collected and preserved in mPBS at 4℃ for 0 hour(as control),24 hours,48 hours or 72 hours respectively,then processed primary culture in DMEM(Dulbecco's Modified Eagle's Medium) including glutamine and FBS(fetal bovine serum).After the primarily cultured cells reached to 85% confluence,they were subcultured directly or were frozen-thawed and then subcultured.The results showed that:(1) after stored at 4℃,the skin fibroblast in primary culture reached to 85% confluence requiring more times(8～15 d)than control group(4 d);(2) after subcultured 4 times,the fibroblasts from samples stored at 4 ℃ grew to 85% confluence requiring identical time to those from control samples;(3) although the frozen-thawed cells from different groups in the first subculture reached to 85% confluence in disparate time(11～13 d),all the cells in the second subculture grew to 85% confluence after 4 days.All these results indicated that if the skin tissues were soon collected and kept in mPBS at 4℃ for several hours once the animal died,the skin fibroblasts could have resumed growing after primary culture and subculture or primary culture and frozen-thawed,then subculture.
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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 | 0.001 |
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".