KIF2C-induced nuclear condensation concentrates PLK1 and phosphorylated BRCA2 at the kinetochore microtubules in mitosis
Bibliographic record
Abstract
SUMMARY During mitosis, the human microtubule depolymerase KIF2C increases the turnover of kinetochore-microtubule attachments. This facilitates the correction of attachment errors. Moreover, BRCA2 phosphorylated at Thr207 by PLK1 (BRCA2-pT207) assembles a complex including PLK1, PP2A and BUBR1 that contributes to the stability of the kinetochore-microtubule attachments. PLK1, together with Aurora B, critically regulate the accurate segregation of chromosomes. Here we demonstrate that KIF2C contains an N-terminal domain that binds directly to several phosphorylated peptides, including BRCA2-pT207. Using an optogenetic platform, we reveal that KIF2C assembles into membrane-less compartments or biomolecular condensates that are located next to microtubules. We provide evidence that condensate assembly depends on the presence of the newly defined N-terminal phospho-binding domain of KIF2C and on the kinase activities of Aurora B and PLK1. Moreover, KIF2C condensates concentrate active PLK1 and colocalize with BRCA2-pT207. We propose that, because of its phospho-dependent binding and oligomerization capacities, KIF2C forms biomolecular condensates that partition PLK1 and locally amplify its kinase activity during mitosis. Graphical Abstract
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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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".