A novel compound that disrupts mitotic spindle poles in human cells
Bibliographic record
Abstract
ABSTRACT We characterize the mechanism of action of a new microtubule-targeting compound in cells. Microtubule-targeting drugs are used as successful anti-cancer therapies. We synthesized a family of compounds that share a common scaffold and have several functional groups amenable to modifications. We found that one of the active derivatives, C75, reduces cell viability and prevents microtubule polymerization in vitro . In this study, we explore the phenotypes caused by C75 in cells. It causes mitotic arrest and spindle phenotypes in several cancer cell lines in the nanomolar range. C75 can bind to the Colchicine-pocket on tubulin in vitro , but causes different effects on microtubules in cells. While Colchicine causes a decrease in microtubules and spindle pole collapse without re-growth, similar concentrations of C75 cause a rapid loss of microtubules and spindle pole fragmentation followed by microtubule re-growth to form multipolar spindles. In addition, C75 and Colchicine synergize for reduced viability and spindle phenotypes. Importantly, the phenotypes caused by C75 are similar to those caused by the depletion of ch-TOG, a microtubule polymerase, and tubulin and ch-TOG are displaced and oscillate in C75-treated cells. This suggests that C75 causes microtubule depolymerization in cells either directly or indirectly via inhibiting ch-TOG. This unique effect of C75 on microtubules warrants further exploration of its anti-cancer potential.
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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".