How to build a centromere: from centromeric and pericentromeric chromatin to kinetochore assemblyThis paper is one of a selection of papers published in this Special Issue, entitled 27th International West Coast Chromatin and Chromosome Conference, and has undergone the Journal's usual peer review process.
Bibliographic record
Abstract
The assembly of the centromere, a specialized region of DNA along with a constitutive protein complex which resides at the primary constriction and is the site of kinetochore formation, has been puzzling biologists for many years. Recent advances in the fields of chromatin, microscopy, and proteomics have shed a new light on this complex and essential process. Here we review recently discovered mechanisms and proteins involved in determining mammalian centromere location and assembly. The centromeric core protein CENP-A, a histone H3 variant, is hypothesized to designate centromere localization by incorporation into centromere-specific nucleosomes and is essential for the formation of a functional kinetochore. It has been found that centromere localization of centromere protein A (CENP-A), and therefore centromere determination, requires proteins involved in histone deacetylation, as well as base excision DNA repair pathways and proteolysis. In addition to the incorporation of CENP-A at the centromere, the formation of heterochromatin through histone methylation and RNA interference is also crucial for centromere formation. The assembly of the centromere and kinetochore is complex and interdependent, involving epigenetics and hierarchical protein-protein interactions.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.004 |
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".