Goat Embryonic Stem-Like Cell Derivation and Characterization
Bibliographic record
Abstract
Embryonic stem (ES) cells are derived from the inner cell masses of preimplantation embryos. ES cells are pluripotent cells with the capacity for long-term propagation and broad differentiation plasticity. These cells have an exceptional functional feature in that they can differentiate into all tissues and organs, including germ cells. Established ES cell lines have been generated in mouse, human, and nonhuman primate but derivation of ES cells in farm animals has been problematic. Several ES-like cell lines from farm animals have been reported to exhibit properties of pluripotency in vitro. However, only a few of them morphologically resemble ES cells, or express markers that are associated with established ES cell lines from mouse and humans. Methods for derivation, propagation, and differentiation of ES cells from domestic animals have not been fully established. In this chapter, we describe methods for isolation of goat ES (gES) cell lines from in vivo-derived blastocysts and characterization of markers indicative of pluripotency. In addition, we outline differentiation of gES cells into all three germ layers in vivo by forming teratomas as a hallmark of pluripotency.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.010 |
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".