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      The quantitative architecture of centromeric chromatin

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          Abstract

          The centromere, responsible for chromosome segregation during mitosis, is epigenetically defined by CENP-A containing chromatin. The amount of centromeric CENP-A has direct implications for both the architecture and epigenetic inheritance of centromeres. Using complementary strategies, we determined that typical human centromeres contain ∼400 molecules of CENP-A, which is controlled by a mass-action mechanism. This number, despite representing only ∼4% of all centromeric nucleosomes, forms a ∼50-fold enrichment to the overall genome. In addition, although pre-assembled CENP-A is randomly segregated during cell division, this amount of CENP-A is sufficient to prevent stochastic loss of centromere function and identity. Finally, we produced a statistical map of CENP-A occupancy at a human neocentromere and identified nucleosome positions that feature CENP-A in a majority of cells. In summary, we present a quantitative view of the centromere that provides a mechanistic framework for both robust epigenetic inheritance of centromeres and the paucity of neocentromere formation.

          DOI: http://dx.doi.org/10.7554/eLife.02137.001

          eLife digest

          The genetic information in a cell is packed into structures called chromosomes. These contain strands of DNA wrapped around proteins called histones, which helps the long DNA chains to fit inside the relatively small nucleus of the cell.

          When a cell divides, it is important that both of the new cells contain all of the genetic information found in the parent cell. Therefore, the chromosomes duplicate during cell division, with the two copies held together at a single region of the chromosome called the centromere. The centromere then recruits and coordinates the molecular machinery that separates the two copies into different cells.

          Centromeres are inherited in an epigenetic manner. This means that there is no specific DNA sequence that defines the location of this structure on the chromosomes. Rather, a special type of histone, called CENP-A, is involved in defining its location. Bodor et al. use multiple techniques to show that human centromeres normally contain around 400 molecules of CENP-A, and that this number is crucial for ensuring that centromeres form in the right place. Interestingly, only a minority of the CENP-A molecules are located at centromeres; yet this is more than at any other region of the chromosome. This explains why centromeres are only formed at a single position on each chromosome.

          When the chromosomes separate, the CENP-A molecules at the centromere are randomly divided between the two copies. In this way memory of the centromere location is maintained. If the number of copies of CENP-A inherited by one of the chromosomes drops below a threshold value, a centromere will not form. However, Bodor et al. found that the number of CENP-A molecules in a centromere is large enough, not only to support the formation of the centromere structure, but also to keep it above the threshold value in nearly all cases. This threshold is also high enough to make it unlikely that a centromere will form in the wrong place because of a random fluctuation in the number of CENP-A molecules. Therefore, the number of CENP-A molecules is crucial for controlling both the formation and the inheritance of the centromere.

          DOI: http://dx.doi.org/10.7554/eLife.02137.002

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          Computer control of microscopes using µManager.

          With the advent of digital cameras and motorization of mechanical components, computer control of microscopes has become increasingly important. Software for microscope image acquisition should not only be easy to use, but also enable and encourage novel approaches. The open-source software package µManager aims to fulfill those goals. This unit provides step-by-step protocols describing how to get started working with µManager, as well as some starting points for advanced use of the software. © 2010 by John Wiley & Sons, Inc.
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            The conserved KMN network constitutes the core microtubule-binding site of the kinetochore.

            The microtubule-binding interface of the kinetochore is of central importance in chromosome segregation. Although kinetochore components that stabilize, translocate on, and affect the polymerization state of microtubules have been identified, none have proven essential for kinetochore-microtubule interactions. Here, we examined the conserved KNL-1/Mis12 complex/Ndc80 complex (KMN) network, which is essential for kinetochore-microtubule interactions in vivo. We identified two distinct microtubule-binding activities within the KMN network: one associated with the Ndc80/Nuf2 subunits of the Ndc80 complex, and a second in KNL-1. Formation of the complete KMN network, which additionally requires the Mis12 complex and the Spc24/Spc25 subunits of the Ndc80 complex, synergistically enhances microtubule-binding activity. Phosphorylation by Aurora B, which corrects improper kinetochore-microtubule connections in vivo, reduces the affinity of the Ndc80 complex for microtubules in vitro. Based on these findings, we propose that the conserved KMN network constitutes the core microtubule-binding site of the kinetochore.
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              Gene regulation at the single-cell level.

              The quantitative relation between transcription factor concentrations and the rate of protein production from downstream genes is central to the function of genetic networks. Here we show that this relation, which we call the gene regulation function (GRF), fluctuates dynamically in individual living cells, thereby limiting the accuracy with which transcriptional genetic circuits can transfer signals. Using fluorescent reporter genes and fusion proteins, we characterized the bacteriophage lambda promoter P(R) in Escherichia coli. A novel technique based on binomial errors in protein partitioning enabled calibration of in vivo biochemical parameters in molecular units. We found that protein production rates fluctuate over a time scale of about one cell cycle, while intrinsic noise decays rapidly. Thus, biochemical parameters, noise, and slowly varying cellular states together determine the effective single-cell GRF. These results can form a basis for quantitative modeling of natural gene circuits and for design of synthetic ones.
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                Author and article information

                Contributors
                Role: Reviewing editor
                Journal
                eLife
                Elife
                eLife
                eLife
                eLife
                eLife Sciences Publications, Ltd
                2050-084X
                15 July 2014
                2014
                : 3
                : e02137
                Affiliations
                [1 ]Instituto Gulbenkian de Ciência , Oeiras, Portugal
                [2 ]Department of Systems Biology, Harvard Medical School , Boston, United States
                [3 ]Renal Division, Brigham and Women's Hospital , Boston, United States
                [4 ]Department of Biochemistry and Biophysics, Perelman School of Medicine, University of Pennsylvania , Philadelphia, United States
                [5 ]Ludwig Institute for Cancer Research, University of California, San Diego , La Jolla, United States
                [6 ]Department of Cellular and Molecular Medicine, University of California, San Diego , La Jolla, United States
                The Gurdon Institute , United Kingdom
                The Gurdon Institute , United Kingdom
                Author notes
                [* ]For correspondence: ljansen@ 123456igc.gulbenkian.pt
                Article
                02137
                10.7554/eLife.02137
                4091408
                25027692
                93f2707b-d5d8-4b5a-b3b2-7e0773a0e695
                Copyright © 2014, Bodor et al

                This article is distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use and redistribution provided that the original author and source are credited.

                History
                : 10 January 2014
                : 17 June 2014
                Funding
                Funded by: European Molecular Biology Organization FundRef identification ID: http://dx.doi.org/10.13039/100004410
                Award ID: EMBO Installation grant
                Award Recipient :
                Funded by: European Commission FundRef identification ID: http://dx.doi.org/10.13039/501100000780
                Award ID: FP7 Marie Curie Reintegration grant
                Award Recipient :
                Funded by: European Research Council FundRef identification ID: http://dx.doi.org/10.13039/501100000781
                Award ID: ERC-2013-CoG-615638
                Award Recipient :
                Funded by: National Institutes of Health FundRef identification ID: http://dx.doi.org/10.13039/100000002
                Award ID: GM082989
                Award Recipient :
                Funded by: National Institutes of Health FundRef identification ID: http://dx.doi.org/10.13039/100000002
                Award ID: GM077238
                Award Recipient :
                Funded by: Burroughs Wellcome Fund FundRef identification ID: http://dx.doi.org/10.13039/100000861
                Award Recipient :
                Funded by: Rita Allen Foundation FundRef identification ID: http://dx.doi.org/10.13039/100001447
                Award Recipient :
                Funded by: Beckman Laser Institute and Foundation
                Award Recipient :
                Funded by: Fundação para a Ciência e a Tecnologia (Foundation for Science and Technology) FundRef identification ID: http://dx.doi.org/10.13039/501100001871
                Award ID: SFRH/BD/74284/2010
                Award Recipient :
                Funded by: Fundação para a Ciência e a Tecnologia (Foundation for Science and Technology) FundRef identification ID: http://dx.doi.org/10.13039/501100001871
                Award ID: BIA-BCM/100557/2008, BIA-PRO/100537/2008
                Award Recipient :
                The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.
                Categories
                Research Article
                Cell Biology
                Custom metadata
                0.7
                The number of CENP-A molecules at human centromeres helps to explain how this structure is built and epigenetically inherited.

                Life sciences
                centromere,cenp-a,epigenetics,molecular counting,quantitative microscopy,histone variant,human

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