3′-Azidothymidine Potently Inhibits the Biosynthesis of Highly Branched N-Linked Oligosaccharides and Poly-N-acetyllactosamine Chains in Cells
Bibliographic record
Abstract
Previous studies in our laboratory have characterized 3′-azido-3′-deoxythymidine (AZT) as a potent inhibitor of glycosphingolipid biosynthesis in cultured cells (Steet, R., Alizadeh, M., Melançon, P., and Kuchta, R. D. (1999) Glycoconj. J. 16, 237–245; Yan, J.-P., Ilsley, D. D., Frohlick, C., Steet, R., Hall, E. T., Kuchta, R. D., and Melançon, P. (1995) J. Biol. Chem. 270, 22836–22841). Here, we report that AZT treatment of K562 cells results in significant alterations in the profile of N -linked oligosaccharides. Fractionation of [ 3 H]mannose-labeled oligosaccharides from AZT-treated K562 cells using lectin affinity chromatography revealed striking changes in the branching and processing of N -linked glycoconjugates. AZT treatment resulted in the production of fewer highly branched complex glycans (60% of control at 20 μm AZT) and a significant accumulation of core-fucosylated biantennary oligosaccharides. In addition, extension of branched oligosaccharides with multiple poly- N- acetyllactosamine repeats is nearly abolished by AZT concentrations as low as 2 μm. A shift from multiantennary to moderately branched oligosaccharides was also apparent in the melanoma cell line SK-MEL-30 upon AZT treatment. N -Linked glycans from both cell lines exhibited increased affinity for the β-galactoside-binding lectin RCA-I in the presence of AZT, suggesting that the addition of terminal sialic acid is sensitive to the drug. These results demonstrate the ability of AZT to modulate strongly the processing of asparagine-linked glycoconjugates in whole cells and reveal a novel mechanism by which AZT treatment may cause anemia.
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) | 0.000 | 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 | 0.001 |
| 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".