Dissociation of chicken blastoderm for examination of apoptosis and necrosis by flow cytometry
Bibliographic record
Abstract
We describe a method of isolating blastodermal cells for characterization through flow cytometry. Particular attention was placed on cell viability and integrity issues faced by conventional protocols. The method allowed us to examine mechanisms behind cellular death. Our protocol was optimized by the spatial resolution of the ImageStream multispectral imaging flow cytometer. Overall, the technique provides both quantitative and qualitative information on blastodermal cells. The methodology was applied to the current biological problem in which prolonged (14 d) versus short-term (4 d) layer egg storage reduces embryo viability. Data were obtained between 3 egg storage treatments (unstored, 4 d, and 14 d); the data were analyzed by the PROC MIXED model procedure of SAS at P < or = 0.05 and least squares means separated by the PDIFF procedure of SAS. The results showed that egg storage increases the rate of cell death by both apoptosis and necrosis. Importantly, our study showed higher percentages of necrosis and late apoptosis in long-term versus short-term stored eggs. The percentage of live cells decreased significantly when eggs were stored for 14 d (71.42 + or - 3.36%) compared with eggs stored for 4 d (83.58 + or - 2.15%). The percentage of early apoptotic cells was not significantly different between the 2 treatments. The percentage of necrotic cells and late apoptotic-necrotic cells was higher in eggs stored for 14 d (16.75 + or - 1.73%; 7.36 + or - 1.53%) versus eggs stored for 4 d (3.56 + or - 1.64%; 2.31 + or - 1.52%), respectively. This could negatively affect embryo survival because of the potential effect that necrosis has on surrounding tissue integrity. The technique will be particularly relevant in studies requiring single cells from chicken blastoderms or as a basis to characterize genes that regulate apoptosis in avian species.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".