Beyond membrane integrity: Assessing the functionality of human umbilical vein endothelial cells after cryopreservation
Bibliographic record
Abstract
Assessment of cell membrane integrity is one of the most widely used methods to measure post-cryopreservation viability of cells such as human umbilical vein endothelial cells (HUVECs). However, an evaluation of cell function provides a better measure of cell quality following cryopreservation. The tube formation assay mimics angiogenesis in vitro and can be used to quantitate the ability of endothelial cells to form capillary-like tubular structures when cultured on reconstituted basement membrane (Matrigel). We compared the membrane integrity (measured by flow cytometry) and tube forming ability of HUVEC suspensions exposed to 10% dimethyl sulfoxide (Me2SO), cooled at 1 °C/min to various sub-zero temperatures, plunged directly into liquid nitrogen, stored for an hour, and thawed rapidly. We found that as membrane integrity increased so did the various parameters associated with the extent of in vitro angiogenesis; however, in comparison to fresh cells with a similar percentage of membrane-intact cells, the extent of tube formation, expressed as total tube length, is significantly lower in previously frozen cells for the lower range of post-thaw membrane integrities. Our findings underscore the value of an assay that quantifies a specific function that a cell is known to perform in vivo to measure the success of cryopreservation protocols.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".