Characterizing the cryobiological response of a mouse cardiac endothelial cell line to interrupted slow cooling (graded freezing)
Bibliographic record
Abstract
Mouse cardiac endothelial cells play a critical role in cardiovascular research and disease; hence, high quality cryopreservation of this cell type is necessary to provide on-demand access to the cells, quality control, and consistent outcomes between different experiments and batches. However, the cryopreservation of cardiac endothelial cells has not been studied as much as other endothelial cells. The objective of this study was to characterize the cryobiological response of an immortalized line of mouse cardiac endothelial cells in suspension using an interrupted slow cooling approach (graded freezing) and to validate cryopreservation protocols that provide high post-thaw viability and function. Three different cryopreservation protocols were validated using different cryoprotectant solutions: i) 10 % dimethyl sulfoxide + 90 % fetal bovine serum, ii) 5 % dimethyl sulfoxide + 6 % hydroxyethyl starch in complete growth medium, and iii) 10 % glycerol in complete growth medium; all three protocols resulted in high post-thaw membrane integrity assessed using dual fluorescent dye Syto13/GelRed. Two functional assays: i) tube forming on Matrigel representing angiogenesis and ii) nitric oxide synthesis using DAF-FM (4-amino-5-methylamino-2',7'-difluorofluorescein) fluorescent dye revealed that cryopreserved cells retained comparable post-thaw function to non-cryopreserved cells. This study provides practical insight into successful cryopreservation of mouse cardiac endothelial cells.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".