Effects of culture medium and substrate on attachment of in vitro produced bovine embryos
Bibliographic record
Abstract
The study of large animal embryonic stem cells (ESCs) in vitro has implications for the understanding of lineage differentiation and transgenesis. The first step for ESC derivation is the attachment of the embryo to a substrate on which they can form outgrowths. However, the culture conditions for large animal embryo attachment and ESC derivation have not been studied extensively. Defining culture conditions for embryo attachment such as culture medium and substrate is an important first step for derivation of inner cell massderived stem cells. The aim of this study was to compare different types of culture media and substrates for their ability to support attachment of in vitro produced bovine embryos in culture. Bovine embryos were produced in vivo following established protocols. Blastocysts formed on day 8 after fertilization were transferred to 12-well culture plates containing different types of culture media (Dulbecco's Modified Eagle Medium, DMEM or Medium 199, M199) and substrates [bovine fetal fibroblasts, goat fetal fibroblasts, mouse embryonic fibroblasts (STO) or non-cellular substrates (gelatin, laminin, fibronectin)]. Percentage of attached embryos and number of days since fertilization required for attachment were recorded. Bovine blastocysts preferrably attached to feeder cells rather than noncellular substrates and there was an interaction of feeder cell type and culture medium used. Therefore, the choice of both feeder cell type and culture medium has to be considered when optimizing conditions to derive cell lines from bovine embryos.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".