HMG-D and histone H1 interplay during chromatin assembly and early embryogenesis

HMG-D is an abundant chromosomal protein associated with condensed chromatin during the first nuclear cleavage cycles of the developing Drosophila embryo. We previously suggested that HMG-D might substitute for the linker histone H1 in the preblastoderm embryo and that this substitution might result in the characteristic less compacted chromatin. We have now studied the association of HMG-D with chromatin using a cell-free system for chromatin reconstitution derived from Drosophila embryos. Association of HMG-D with chromatin, like that of histone H1, increases the nucleosome spacing indicative of binding to the linker DNA between nucleosomes. HMG-D interacts with DNA during the early phases of nucleosome assembly but is gradually displaced as chromatin matures. By contrast, purified chromatin can be loaded with stoichiometric amounts of HMG-D, and this can be displaced upon addition of histone H1. A direct physical interaction between HMG-D and histone H1 was observed in a Far Western analysis. The competitive nature of this interaction is reminiscent of the apparent replacement of HMG-D by H1 during mid-blastula transition. These data are consistent with the hypothesis that HMG-D functions as a specialized linker protein prior to appearance of histone H1.     

Telomeric protein distributions and remodeling through the cell cycle in Saccharomyces cerevisiae

In Saccharomyces cerevisiae, telomeric DNA is protected by a nonnucleosomal protein complex, tethered by the protein Rap1. Rif and Sir proteins, which interact with Rap1p, are thought to have further interactions with conventional nucleosomic chromatin to create a repressive structure that protects the chromosome end. We showed by microarray analysis that Rif1p association with the chromosome ends extends to subtelomeric regions many kilobases internal to the terminal telomeric repeats and correlates strongly with the previously determined genomic footprints of Rap1p and the Sir2-4 proteins in these regions. Although the end-protection function of telomeres is essential for genomic stability, telomeric DNA must also be copied by the conventional DNA replication machinery and replenished by telomerase, suggesting that transient remodeling of the telomeric chromatin might result in distinct protein complexes at different stages of the cell cycle. Using chromatin immunoprecipitation, we monitored the association of Rap1p, Rif1p, Rif2p, and the protein component of telomerase, Est2p, with telomeric DNA through the cell cycle. We provide evidence for dynamic remodeling of these components at telomeres.     

Nucleosome Positioning,Nucleosome Spacing and the Nucleosome Code

Abstract

Nucleosome positioning has been the subject of intense study for many years. The properties of micrococcal nuclease, the enzyme central to these studies, are discussed. The various methods used to determine nucleosome positions in vitro and in vivo are reviewed critically. These include the traditional low resolution method of indirect end-labelling, high resolution methods such as primer extension, monomer extension and nucleosome sequencing, and the high throughput methods for genome-wide analysis (microarray hybridisation and parallel sequencing). It is established that low resolution mapping yields an averaged chromatin structure, whereas high resolution mapping reveals the weighted superposition of all the chromatin states in a cell population. Mapping studies suggest that yeast DNA contains information specifying the positions of nucleosomes and that this code is made use of by the cell. It is proposed that the positioning code facilitates nucleosome spacing by encoding information for multiple alternative overlapping nucleosomal arrays. Such a code might facilitate the shunting of nucleosomes from one array to another by ATP-dependent chromatin remodelling machines.     

Connecting ORC and Heterochromatin: Why?

Considerable evidence connects heterochromatin or silenced chromatin with the Origin Recognition Complex (ORC) which is needed for initiation of DNA replication.1-7 In this review we consider biological forces that might be served by this connection. The prevailing view in the literature is that ORC recruits heterochromatin. This seems paradoxical because a replication initiator, ORC, would be recruiting factors which seem to oppose replication by forming inaccessible chromatin structures. Here we suggest a different view, that heterochromatin recruits ORC to facilitate replication of hard-to-replicate heterochromatic regions. We consider how existing data can be reconciled with this viewpoint, and we consider the biological predictions that arise from this perspective.     

Genomic views of chromatin

With the availability of complete genome sequences for a number of organisms, a major challenge has become to understand how chromatin and its epigenetic modifications regulate genome function. High-throughput microarray and sequencing technologies are being combined with biochemical and immunological enrichment methods to obtain genome-scale views of chromatin in a variety of organisms. The data pinpoint novel, genomic elements and expansive chromatin domains, and offer insight into the functions of histone modifications. In parallel, state-of-the-art imaging techniques are being used to investigate higher-order chromatin organization, and are beginning to bridge our understanding of chromatin biology with that of chromosome structure.     

Using formal concept analysis for microarray data comparison

Microarray technologies, which can measure tens of thousands of gene expression values simultaneously in a single experiment, have become a common research method for biomedical researchers. Computational tools to analyze microarray data for biological discovery are needed. In this paper, we investigate the feasibility of using formal concept analysis (FCA) as a tool for microarray data analysis. The method of FCA builds a (concept) lattice from the experimental data together with additional biological information. For microarray data, each vertex of the lattice corresponds to a subset of genes that are grouped together according to their expression values and some biological information related to gene function. The lattice structure of these gene sets might reflect biological relationships in the dataset. Similarities and differences between experiments can then be investigated by comparing their corresponding lattices according to various graph measures. We apply our method to microarray data derived from influenza-infected mouse lung tissue and healthy controls. Our preliminary results show the promise of our method as a tool for microarray data analysis.     

Exon level integration of proteomics and microarray data

Background  

Previous studies comparing quantitative proteomics and microarray data have generally found poor correspondence between the two. We hypothesised that this might in part be because the different assays were targeting different parts of the expressed genome and might therefore be subjected to confounding effects from processes such as alternative splicing.     

Connecting ORC and heterochromatin: why?

Considerable evidence connects heterochromatin or silenced chromatin with the Origin Recognition Complex (ORC) which is needed for initiation of DNA replication. In this review we consider biological forces that might be served by this connection. The prevailing view in the literature is that ORC recruits heterochromatin. This seems paradoxical because a replication initiator, ORC, would be recruiting factors which seem to oppose replication by forming inaccessible chromatin structures. Here we suggest a different view, that heterochromatin recruits ORC to facilitate replication of hard-to-replicate heterochromatic regions. We consider how existing data can be reconciled with this viewpoint, and we consider the biological predictions that arise from this perspective