bioRxivCell BiologyPreprint
An electrostatic repulsion model of centromere organisation
Caelan Bell, Lifeng CheniD, Maria Julia MaristanyiD, Claudia Blaukopf, Huabin ZhouiD, Jan HuertasiD, Jose Ignacio Perez LopeziD, Christoph C. H. LangeriD, Thomas L. SteinackeriD, Nikki Schuette, Lynda K. Doolittle, Jorge R. EspinosaiD, Sy ReddingiD, Rosana Collepardo‐GuevaraiD, Michael K. RoseniD, Daniel W. GerlichiD
Abstract
During cell division, chromosomes reorganise into compact bodies in which centromeres localise precisely at the chromatin surface1-4 to enable kinetochore-microtubule interactions essential for genome segregation5-8. The physical principles guiding this centromere positioning remain unknown. Here, we reveal that human core centromeres are directed to the chromatin surface by repulsion of centromere-associated proteins - independent of condensin-mediated loop extrusion and microtubule engagement. Using cellular perturbations, biochemical reconstitution, and multiscale molecular dynamics simulations, we show that chromatin surface localisation emerges from repulsion between condensed chromatin and both the kinetochore and the highly negatively charged centromere protein, CENP-B. Together, these elements form a centromeric region composed of two domains with opposing affinities, one favouring integration within the mitotic chromosome and the other favouring exposure to the surrounding cytoplasm, thereby driving surface positioning. Tethering synthetic negatively charged proteins to chromatin was sufficient to recapitulate this surface localisation in cells and in vitro, indicating that electrostatic repulsion is a key determinant of surface localisation. These findings demonstrate that centromere layering is not hardwired by chromatin folding patterns but instead emerges from phase separation in chromatin. Our work uncovers electrostatic polarity as a general and programmable mechanism to spatially organise chromatin.
- organism: human
- assay: proteomics
- research focus: cell signaling & trafficking
- approach: experimental assay
- approach: statistical model
- Citations
- 4
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