24 research outputs found

    Chemically ubiquitylated histone H2B stimulates hDot1L-mediated intranucleosomal methylation

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    Numerous post-translational modifications of histones have been described in organisms ranging from yeast to humans. Growing evidence for dynamic regulation of these modifications, position- and modification-specific protein interactions, and biochemical crosstalk between modifications has strengthened the 'histone code' hypothesis, in which histone modifications are integral to choreographing the expression of the genome. One such modification, ubiquitylation of histone H2B (uH2B) on lysine 120 (K120) in humans, and lysine 123 in yeast, has been correlated with enhanced methylation of lysine 79 (K79) of histone H3 (refs 5-8), by K79-specific methyltransferase Dot1 (KMT4). However, the specific function of uH2B in this crosstalk pathway is not understood. Here we demonstrate, using chemically ubiquitylated H2B, a direct stimulation of hDot1L-mediated intranucleosomal methylation of H3 K79. Two traceless orthogonal expressed protein ligation (EPL) reactions were used to ubiquitylate H2B site-specifically. This strategy, using a photolytic ligation auxiliary and a desulphurization reaction, should be generally applicable to the chemical ubiquitylation of other proteins. Reconstitution of our uH2B into chemically defined nucleosomes, followed by biochemical analysis, revealed that uH2B directly activates methylation of H3 K79 by hDot1L. This effect is mediated through the catalytic domain of hDot1L, most likely through allosteric mechanisms. Furthermore, asymmetric incorporation of uH2B into dinucleosomes showed that the enhancement of methylation was limited to nucleosomes bearing uH2B. This work demonstrates a direct biochemical crosstalk between two modifications on separate histone proteins within a nucleosome

    The n-SET Domain of Set1 Regulates H2B Ubiquitylation-Dependent H3K4 Methylation

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    Past studies have documented a crosstalk between H2B ubiquitylation (H2Bub) and H3K4 methylation, but little (if any) direct evidence exists explaining the mechanism underlying H2Bub-dependent H3K4 methylation on chromatin templates. Here, we took advantage of an in vitro histone methyltransferase assay employing a reconstituted yeast Set1 complex (ySet1C) and a recombinant chromatin template containing fully ubiquitylated H2B to gain valuable insights. Combined with genetic analyses, we demonstrate that the n-SET domain within Set1, but not Swd2, is essential for H2Bub-dependent H3K4 methylation. Spp1, a homolog of human CFP1, is conditionally involved in this crosstalk. Our findings extend to the human Set1 complex, underscoring the conserved nature of this disease-relevant crosstalk pathway. As not all members of the H3K4 methyltransferase family contain n-SET domains, our studies draw attention to the n-SET domain as a predictor of an H2B ubiquitylation-sensing mechanism that leads to downstream H3K4 methylation

    RAD6-Mediated Transcription-Coupled H2B Ubiquitylation Directly Stimulates H3K4 Methylation in Human Cells

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    H2B ubiquitylation has been implicated in active transcription but is not well understood in mammalian cells. Beyond earlier identification of hBRE1 as the E3 ligase for H2B ubiquitylation in human cells, we now show (1) that hRAD6 serves as the cognate E2-conjugating enzyme; (2) that hRAD6, through direct interaction with hPAF-bound hBRE1, is recruited to transcribed genes and ubiquitylates chromatinized H2B at lysine 120; (3) that hPAF-mediated transcription is required for efficient H2B ubiquitylation as a result of hPAF-dependent recruitment of hBRE1-hRAD6 to the Pol II transcription machinery; (4) that H2B ubiquitylation per se does not affect the level of hPAF-, SII-, and p300-dependent transcription and likely functions downstream; and (5) that H2B ubiquitylation directly stimulates hSET1-dependent H3K4 di- and trimethylation. These studies establish the natural H2B ubiquitylation factors in human cells and also detail the mechanistic basis for H2B ubiquitylation and function during transcription

    SET1 and p300 act synergistically, through coupled histone modifications, in transcriptional activation by p53

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    The H3K4me3 mark in chromatin is closely correlated with actively transcribed genes, although the mechanisms involved in its generation and function are not fully understood. In vitro studies with recombinant chromatin and purified human factors demonstrate a robust SET1 complex (SET1C)-mediated H3K4 trimethylation that is dependent upon p53- and p300-mediated H3 acetylation, a corresponding SET1C-mediated enhancement of p53- and p300-dependent transcription that reflects a primary effect of SET1C through H3K4 trimethylation, and direct SET1C-p53 and SET1C-p300 interactions indicative of a targeted recruitment mechanism. Complementary cell-based assays demonstrate a DNA-damage-induced p53-SET1C interaction, a corresponding enrichment of SET1C and H3K4me3 on a p53 target gene (p21/WAF1), and a corresponding codependency of H3K4 trimethylation and transcription upon p300 and SET1C. These results establish a mechanism in which SET1C and p300 act cooperatively, through direct interactions and coupled histone modifications, to facilitate the function of p53

    Identification of common genetic risk variants for autism spectrum disorder

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    Autism spectrum disorder (ASD) is a highly heritable and heterogeneous group of neurodevelopmental phenotypes diagnosed in more than 1% of children. Common genetic variants contribute substantially to ASD susceptibility, but to date no individual variants have been robustly associated with ASD. With a marked sample-size increase from a unique Danish population resource, we report a genome-wide association meta-analysis of 18,381 individuals with ASD and 27,969 controls that identified five genome-wide-significant loci. Leveraging GWAS results from three phenotypes with significantly overlapping genetic architectures (schizophrenia, major depression, and educational attainment), we identified seven additional loci shared with other traits at equally strict significance levels. Dissecting the polygenic architecture, we found both quantitative and qualitative polygenic heterogeneity across ASD subtypes. These results highlight biological insights, particularly relating to neuronal function and corticogenesis, and establish that GWAS performed at scale will be much more productive in the near term in ASD.Peer reviewe
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