53 research outputs found

    Dynamic association of the H3K64 trimethylation mark with genes encoding exported proteins in Plasmodium falciparum

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    Epigenetic modifications have emerged as critical regulators of virulence genes and stage-specific gene expression in Plasmodium falciparum. However, the specific roles of histone core epigenetic modifications in regulating the stage-specific gene expression are not well understood. In this study, we report an unconventional trimethylation at lysine 64 on histone 3 (H3K64me3) and characterize its functional relevance in P. falciparum. We show that PfSET4 and PfSET5 proteins of P. falciparum methylate H3K64 and that they prefer the nucleosome as a substrate over free histone 3 proteins. Structural analysis of PfSET5 revealed that it interacts with the nucleosome as a dimer. The H3K64me3 mark is dynamic, being enriched in the ring and trophozoite stages and drastically reduced in the schizont stages. Stage-specific global chromatin immunoprecipitation -sequencing analysis of the H3K64me3 mark revealed the selective enrichment of this methyl mark on the genes of exported family proteins in the ring and trophozoite stages and a significant reduction of the same in the schizont stages. Collectively, our data identify a novel epigenetic mark that is associated with the subset of genes encoding for exported proteins, which may regulate their expression in different stages of P. falciparum.</p

    Statistical Inference of In Vivo Properties of Human DNA Methyltransferases from Double-Stranded Methylation Patterns

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    DNA methyltransferases establish methylation patterns in cells and transmit these patterns over cell generations, thereby influencing each cell's epigenetic states. Three primary DNA methyltransferases have been identified in mammals: DNMT1, DNMT3A and DNMT3B. Extensive in vitro studies have investigated key properties of these enzymes, namely their substrate specificity and processivity. Here we study these properties in vivo, by applying novel statistical analysis methods to double-stranded DNA methylation patterns collected using hairpin-bisulfite PCR. Our analysis fits a novel Hidden Markov Model (HMM) to the observed data, allowing for potential bisulfite conversion errors, and yields statistical estimates of parameters that quantify enzyme processivity and substrate specificity. We apply this model to methylation patterns established in vivo at three loci in humans: two densely methylated inactive X (Xi)-linked loci ( and ), and an autosomal locus (), where methylation densities are tissue-specific but moderate. We find strong evidence for a high level of processivity of DNMT1 at and , with the mean association tract length being a few hundred base pairs. Regardless of tissue types, methylation patterns at are dominated by DNMT1 maintenance events, similar to the two Xi-linked loci, but are insufficiently informative regarding processivity to draw any conclusions about processivity at that locus. At all three loci we find that DNMT1 shows a strong preference for adding methyl groups to hemi-methylated CpG sites over unmethylated sites. The data at all three loci also suggest low (possibly 0) association of the de novo methyltransferases, the DNMT3s, and are consequently uninformative about processivity or preference of these enzymes. We also extend our HMM to reanalyze published data on mouse DNMT1 activities in vitro. The results suggest shorter association tracts (and hence weaker processivity), and much longer non-association tracts than human DNMT1 in vivo

    Persistent activation of interlinked type 2 airway epithelial gene networks in sputum-derived cells from aeroallergen-sensitized symptomatic asthmatics

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    © 2018 The Author(s). Atopic asthma is a persistent disease characterized by intermittent wheeze and progressive loss of lung function. The disease is thought to be driven primarily by chronic aeroallergen-induced type 2-associated inflammation. However, the vast majority of atopics do not develop asthma despite ongoing aeroallergen exposure, suggesting additional mechanisms operate in conjunction with type 2 immunity to drive asthma pathogenesis. We employed RNA-Seq profiling of sputum-derived cells to identify gene networks operative at baseline in house dust mite-sensitized (HDM S ) subjects with/without wheezing history that are characteristic of the ongoing asthmatic state. The expression of type 2 effectors (IL-5, IL-13) was equivalent in both cohorts of subjects. However, in HDM S -wheezers they were associated with upregulation of two coexpression modules comprising multiple type 2- and epithelial-associated genes. The first module was interlinked by the hubs EGFR, ERBB2, CDH1 and IL-13. The second module was associated with CDHR3 and mucociliary clearance genes. Our findings provide new insight into the molecular mechanisms operative at baseline in the airway mucosa in atopic asthmatics undergoing natural aeroallergen exposure, and suggest that susceptibility to asthma amongst these subjects involves complex interactions between type 2- and epithelial-associated gene networks, which are not operative in equivalently sensitized/exposed atopic non-asthmatics

    Oxygen Atom Transfer by an Oxochromate (V)

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    836-83

    Oxidation of Nitrite Ion by Bis(2-ethyl-2-hydroxybutyrato)oxochromate(V)

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    963-96
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