Tellurophene-Tagged Carfilzomib Enables Single-Cell Mass Cytometric Mapping of Proteasome Activity
Bibliographic record
Abstract
Tracking small-molecule distribution in heterogeneous cell samples at single-cell resolution remains a major analytical challenge. Here, we present a tellurophene-functionalized analogue of the proteasome inhibitor Carfilzomib (TeCar) whose distribution can be followed by mass cytometric (MC) quantification while preserving target engagement and cytotoxicity. Structural and biochemical analyses confirm that TeCar binds the proteasome in a mode comparable to the clinically approved parent compound. Using MC, we demonstrate selective TeCar accumulation in malignant over immune cells within mixed populations, with cancer cells exhibiting 15 to 30-fold higher uptake. Tellurium signal correlates with proteasomal activity, and differential labeling among immune subsets reveals functional heterogeneity not captured by transcriptomics alone. These findings establish tellurophene tagging as a minimally perturbing and broadly applicable strategy for functional distribution studies at single-cell resolution.
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 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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".