Modulating Intracellular Ice Growth with Cell-Permeating Small-Molecule Ice Recrystallization Inhibitors
Bibliographic record
Abstract
Ice formation remains central to our understanding of the effects of low temperatures on the biological response of cells and tissues. The formation of ice inside of cells and the net increase in crystal size due to recrystallization during thawing is associated with a loss of cell viability during cryopreservation. Because small-molecule ice recrystallization inhibitors (IRIs) can control the growth of extracellular ice, we sought to investigate the ability of two aryl-glycoside-based IRIs to permeate into cells and control intracellular ice recrystallization. An interrupted graded freezing technique was used to evaluate the IRI permeation into human red blood cells (RBCs) and mitigate cell damage during freezing and thawing. The effect of IRIs on the intracellular growth of ice crystals in human umbilical vein endothelial cells (HUVECs) was visualized in real time under different thawing conditions using fluorescence cryomicroscopy. Adding an aryl glycoside to 15% glycerol significantly increased post-thaw RBC integrity by up to 55% during slow cooling compared with the 15%-glycerol-only control group. The characteristics of the cryobiological behavior of the RBCs subjected to the interrupted graded freezing suggest that the aryl-glycoside-based IRI is internalized into the RBCs. HUVECs treated with the IRIs were shown to retain a large number of small ice crystals during warming to high subzero temperatures and demonstrated a significant inhibition of intracellular ice recrystallization. Under slow thawing conditions, the aryl glycoside IRI p-bromophenyl-β-d-glucoside was shown to be most effective at inhibiting intracellular ice recrystallization. We demonstrate that IRIs are capable of internalizing into cells, altering the cryobiological response of cells to slow and rapid freezing and controlling intracellular ice recrystallization during freezing. We conclude that IRIs have tremendous potential as cryoprotectants for the preservation of cells and tissues at high subzero temperatures.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".