Derivation and Culture of Canine Embryonic Stem Cells
Bibliographic record
Abstract
The derivation of canine embryonic stem cells (cESCs) represents a significant achievement and opens the door to further stem cell research and therapies in the dog. Canines share a common environment with humans and exhibit a host of genetic diseases, many of which have human parallels. Thus, the canine model presents unique advantages over other currently used organisms to help develop stem cell therapies in humans. To reveal the therapeutic potential of cESCs further basic research on the molecular mechanisms controlling their pluripotency and self-renewal characteristics is needed. Herein, we present the methods for derivation and culture of cESCs. Following collection of the canine blastocyst, two derivation methods are presented; immunodissection and whole blastocyst explant. These two methods lead to cESCs differing in morphology and subculture techniques. Additional protocols for subculture of established lines, feeder-free culture, and cryopreservation protocols are also described.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.004 |
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".