An active endocytosis pathway is required for the cytotoxic effects of glycosylated antitumor ether lipids.
Bibliographic record
Abstract
BACKGROUND: Glycosylated antitumor ether lipids (GAELs) kill cells by an apoptosis-independent pathway. A hallmark of this pathway is the formation of large acidic vacuoles; however, very little is known about the process. We examined the hypothesis that 1-O-hexadecyl-2-O-methyl-3-O-(2'-amino-2'-deoxy-β-D-glucopyranosyl)-sn-glycerol (Gln), a potent GAEL, diffuses across cell membranes into lysosomes, where protonation of the amine leads to its accumulation and generation of the vacuoles. MATERIALS AND METHODS: N-Benzylamine analogs with similar pKa values, but with greater hydrophobicity than the parental Gln were synthesized and their activities against epithelial cancer cell lines were compared. The role of endocytosis in Gln action was investigated by inhibiting endocytosis with methyl-β-cyclodextrin (MCD), and inhibiting the maturation of the endocytic vesicles by low temperature incubation and analyzing their effects on Gln activity. RESULTS: The N-benzylamines were either inactive or less active than Gln, indicating that activity was unrelated to diffusion or protonation. Toxicity was only observed with analogs that generated vacuoles. The incubation of cells with MCD inhibited the generation of the vacuoles and the toxic effects of Gln. The toxic effect of Gln was inhibited when cells were incubated with the drug at 20°C, a temperature that inhibits the maturation of early endosomes. CONCLUSION: The results of the study show that GAELs are taken up by endocytosis and an active endocytic pathway is required for the formation of large acidic vacuoles by GAELs and manifestation of their cytotoxic effects.
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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 | 0.000 | 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) | 0.001 | 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".