Dataset Information

A super-resolution map of the vertebrate kinetochore.

ABSTRACT: A longstanding question in centromere biology has been the organization of CENP-A-containing chromatin and its implications for kinetochore assembly. Here, we have combined genetic manipulations with deconvolution and super-resolution fluorescence microscopy for a detailed structural analysis of chicken kinetochores. Using fluorescence microscopy with subdiffraction spatial resolution and single molecule sensitivity to map protein localization in kinetochore chromatin unfolded by exposure to a low salt buffer, we observed robust amounts of H3K9me3, but only low levels of H3K4me2, between CENP-A subdomains in unfolded interphase prekinetochores. Constitutive centromere-associated network proteins CENP-C and CENP-H localize within CENP-A-rich subdomains (presumably on H3-containing nucleosomes) whereas CENP-T localizes in interspersed H3-rich blocks. Although interphase prekinetochores are relatively more resistant to unfolding than sur-rounding pericentromeric heterochromatin, mitotic kinetochores are significantly more stable, reflecting mitotic kinetochore maturation. Loss of CENP-H, CENP-N, or CENP-W had little or no effect on the unfolding of mitotic kinetochores. However, loss of CENP-C caused mitotic kinetochores to unfold to the same extent as their interphase counterparts. Based on our results we propose a new model for inner centromeric chromatin architecture in which chromatin is folded as a layered boustrophedon, with planar sinusoids containing interspersed CENP-A-rich and H3-rich subdomains oriented toward the outer kinetochore. In mitosis, a CENP-C-dependent mechanism crosslinks CENP-A blocks of different layers together, conferring extra stability to the kinetochore.

SUBMITTER: Ribeiro SA

PROVIDER: S-EPMC2890832 | biostudies-other | 2010 Jun

REPOSITORIES: biostudies-other

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A super-resolution map of the vertebrate kinetochore.

Ribeiro Susana Abreu SA Vagnarelli Paola P Dong Yimin Y Hori Tetsuya T McEwen Bruce F BF Fukagawa Tatsuo T Flors Cristina C Earnshaw William C WC

Proceedings of the National Academy of Sciences of the United States of America 20100518 23

A longstanding question in centromere biology has been the organization of CENP-A-containing chromatin and its implications for kinetochore assembly. Here, we have combined genetic manipulations with deconvolution and super-resolution fluorescence microscopy for a detailed structural analysis of chicken kinetochores. Using fluorescence microscopy with subdiffraction spatial resolution and single molecule sensitivity to map protein localization in kinetochore chromatin unfolded by exposure to a l ...[more]

PMID: 20483991

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Project description:X-ray diffraction plays a pivotal role in the understanding of biological systems by revealing atomic structures of proteins, nucleic acids and their complexes, with much recent interest in very large assemblies like the ribosome. As crystals of such large assemblies often diffract weakly (resolution worse than 4 A), we need methods that work at such low resolution. In macromolecular assemblies, some of the components may be known at high resolution, whereas others are unknown: current refinement methods fail as they require a high-resolution starting structure for the entire complex. Determining the structure of such complexes, which are often of key biological importance, should be possible in principle as the number of independent diffraction intensities at a resolution better than 5 A generally exceeds the number of degrees of freedom. Here we introduce a method that adds specific information from known homologous structures but allows global and local deformations of these homology models. Our approach uses the observation that local protein structure tends to be conserved as sequence and function evolve. Cross-validation with R(free) (the free R-factor) determines the optimum deformation and influence of the homology model. For test cases at 3.5-5 A resolution with known structures at high resolution, our method gives significant improvements over conventional refinement in the model as monitored by coordinate accuracy, the definition of secondary structure and the quality of electron density maps. For re-refinements of a representative set of 19 low-resolution crystal structures from the Protein Data Bank, we find similar improvements. Thus, a structure derived from low-resolution diffraction data can have quality similar to a high-resolution structure. Our method is applicable to the study of weakly diffracting crystals using X-ray micro-diffraction as well as data from new X-ray light sources. Use of homology information is not restricted to X-ray crystallography and cryo-electron microscopy: as optical imaging advances to subnanometre resolution, it can use similar tools.

Dataset Information

A super-resolution map of the vertebrate kinetochore.

Publications

A super-resolution map of the vertebrate kinetochore.

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