Genome-wide binding and mechanistic analyses of Smchd1 mediated epigenetic regulation
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ABSTRACT:
ORGANISM(S): Mus musculus
PROVIDER: GSE65749 | GEO | 2015/06/11
SECONDARY ACCESSION(S): PRJNA274934
REPOSITORIES: GEO
Similar Datasets
Project description:Structural maintenance of chromosomes flexible hinge domain containing 1 (Smchd1) is an epigenetic repressor with described roles in X inactivation and genomic imprinting, but Smchd1 is also critically involved in the pathogenesis of facioscapulohumeral dystrophy. The underlying molecular mechanism by which Smchd1 functions in these instances remains unknown. Our genome-wide transcriptional and epigenetic analyses show that Smchd1 binds cis-regulatory elements, many of which coincide with CCCTC-binding factor (Ctcf) binding sites, for example, the clustered protocadherin (Pcdh) genes, where we show Smchd1 and Ctcf act in opposing ways. We provide biochemical and biophysical evidence that Smchd1-chromatin interactions are established through the homodimeric hinge domain of Smchd1 and, intriguingly, that the hinge domain also has the capacity to bind DNA and RNA. Our results suggest Smchd1 imparts epigenetic regulation via physical association with chromatin, which may antagonize Ctcf-facilitated chromatin interactions, resulting in coordinated transcriptional control.
| S-EPMC4500281 | biostudies-literature
Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series
2015-06-11 | E-GEOD-65749 | biostudies-arrayexpress
Project description:Purpose: The aim of this study is to identify genes that are under the transcriptional control of the epigenetic regulator Smchd1 in neural stem cells (NSCs) derived from E14.5 mouse brain Methods: Total RNA was extracted using an AllPrep DNA/RNA Mini Kit (Qiagen) from cultured neural stem cells derived from male mouse E14.5 brains either wild-type or null for Smchd1. 1 µg total RNA was used to generate sequencing libraries for whole transcriptome analysis with Illumina’s TruSeq RNA Sample Preparation Kit v2 as per standard protocols. Libraries were sequenced on HiSeq 2000 with Illumina TruSeq SBS Kit v3-HS reagents as either 100 bp single-end or paired-end reads at the Australian Genome Research Facility (AGRF), Melbourne. Reads were aligned to the mouse reference genome mm10 and mapped to known genomic features at the gene level using the Rsubread package (version 1.10.5) (Liao et al. 2013). Mapped reads were then summarized into gene-level counts using FeatureCounts (Liao et al. 2014). Total RNA was extracted and purified from each cell line and their transcriptomes analyzed by RNA-Seq.
2015-06-11 | E-GEOD-65747 | biostudies-arrayexpress
Project description:Purpose: The aim of this study is to identify genes that are under the transcriptional control of the epigenetic regulator Smchd1 in neural stem cells (NSCs) derived from E14.5 mouse brain Methods: Total RNA was extracted using an AllPrep DNA/RNA Mini Kit (Qiagen) from cultured neural stem cells derived from male mouse E14.5 brains either wild-type or null for Smchd1. 1 µg total RNA was used to generate sequencing libraries for whole transcriptome analysis with Illumina’s TruSeq RNA Sample Preparation Kit v2 as per standard protocols. Libraries were sequenced on HiSeq 2000 with Illumina TruSeq SBS Kit v3-HS reagents as either 100 bp single-end or paired-end reads at the Australian Genome Research Facility (AGRF), Melbourne. Reads were aligned to the mouse reference genome mm10 and mapped to known genomic features at the gene level using the Rsubread package (version 1.10.5) (Liao et al. 2013). Mapped reads were then summarized into gene-level counts using FeatureCounts (Liao et al. 2014).
2015-06-11 | GSE65747 | GEO
Project description:Purpose: The aim of this study is (1) to identify the chromatin occupancy of the epigenetic regulator Smchd1 in neural stem cells (NSCs) derived from E14.5 mouse brain; (2) to profile key epigenetic marks H3K4me3, H3K27me3 and DNA methylation in wild type and Smchd1 null NSCs; (3) to identify the chromatin occupancy of Ctcf in wild type and Smchd1 null NSCs. Methods: Chromatin immunoprecipitation for Smchd1, H3K4me3, H3K27me3 and Ctcf was performed essentially as in (Nelson et al. 2006). Briefly, nuclei were isolated from formaldehyde crosslinked NSCs and chromatin was fragmented by sonication. Chromatin immunoprecipitation was performed with corresponding antibodies for Smchd1, H3K4me3 and H3K27me3. DNA was extracted from the immunoprecipitated fraction following reverse-crosslinking. Isolated DNA was used to generate sequencing libraries with Illumina's TruSeq DNA Sample Preparation Kit or Ovation Ultralow system (NuGen) according to manufacturer's instruction. Libraries were pooled and sequenced on the Illumina HiSeq 2000 platform for 100 bp single-end reads. Image analysis was performed in real time by the HiSeq Control Software (HCS) v1.4.8 and Real Time Analysis (RTA) v1.12.4.2, running on the instrument computer. Real-time base calling on the HiSeq instrument computer was performed with the RTA software. Illumina CASAVA1.8 pipeline was used to generate the sequence data. To examine the level of DNA methylation, genomic DNA was extracted using an AllPrep DNA/RNA Mini Kit (Qiagen) and methylated DNA was isolated via binding to the methyl-CpG binding domain of human MBD2 protein coupled beads using the MethylMiner methylated DNA enrichment kit (Life Technologies) according to the manufacturer’s instructions. Isolated DNA was used to generate sequencing libraries as for the ChIP-seq experiment with Illumina’s TruSeq DNA Sample Preparation Kit according to manufacturer's instruction and sequenced on the Illumina HiSeq 2000 platform for 49 bp single-end reads. Sequencing analysis was performed as described for the ChIP-seq experiments. Chromatin occupancy of the epigenetic regulator Smchd1 in neural stem cells (NSCs) derived from E14.5 mouse brain was determined by Smchd1 ChIP-seq. Enrichment of H3K4me3 and H3K27me3 in wild type and Smchd1 null NSCs were assessed by H3K4me3 and H3K27me3 ChIP-seq, respectively. DNA methylation in wild type and Smchd1 null NSCs was assessed by MBD-seq. Chromatin occupancy of Ctcf in wild type and Smchd1 null NSCs was determined by by Ctcf ChIP-seq.
2015-06-11 | E-GEOD-65748 | biostudies-arrayexpress
Project description:Purpose: The aim of this study is (1) to identify the chromatin occupancy of the epigenetic regulator Smchd1 in neural stem cells (NSCs) derived from E14.5 mouse brain; (2) to profile key epigenetic marks H3K4me3, H3K27me3 and DNA methylation in wild type and Smchd1 null NSCs; (3) to identify the chromatin occupancy of Ctcf in wild type and Smchd1 null NSCs. Methods: Chromatin immunoprecipitation for Smchd1, H3K4me3, H3K27me3 and Ctcf was performed essentially as in (Nelson et al. 2006). Briefly, nuclei were isolated from formaldehyde crosslinked NSCs and chromatin was fragmented by sonication. Chromatin immunoprecipitation was performed with corresponding antibodies for Smchd1, H3K4me3 and H3K27me3. DNA was extracted from the immunoprecipitated fraction following reverse-crosslinking. Isolated DNA was used to generate sequencing libraries with Illumina's TruSeq DNA Sample Preparation Kit or Ovation Ultralow system (NuGen) according to manufacturer's instruction. Libraries were pooled and sequenced on the Illumina HiSeq 2000 platform for 100 bp single-end reads. Image analysis was performed in real time by the HiSeq Control Software (HCS) v1.4.8 and Real Time Analysis (RTA) v1.12.4.2, running on the instrument computer. Real-time base calling on the HiSeq instrument computer was performed with the RTA software. Illumina CASAVA1.8 pipeline was used to generate the sequence data. To examine the level of DNA methylation, genomic DNA was extracted using an AllPrep DNA/RNA Mini Kit (Qiagen) and methylated DNA was isolated via binding to the methyl-CpG binding domain of human MBD2 protein coupled beads using the MethylMiner methylated DNA enrichment kit (Life Technologies) according to the manufacturer’s instructions. Isolated DNA was used to generate sequencing libraries as for the ChIP-seq experiment with Illumina’s TruSeq DNA Sample Preparation Kit according to manufacturer's instruction and sequenced on the Illumina HiSeq 2000 platform for 49 bp single-end reads. Sequencing analysis was performed as described for the ChIP-seq experiments.
2015-06-11 | GSE65748 | GEO
Project description:Genome-wide binding and mechanistic analyses of Smchd1 mediated epigenetic regulation
| PRJNA274934 | ENA
Project description:Schizophrenia (SZ) and bipolar disorder (BP) are complex genetic disorders. Their appearance is also likely informed by as yet only partially described epigenetic contributions. Using a sequencing-based method for genome-wide analysis, we quantitatively compared the blood DNA methylation landscapes in SZ and BP subjects to control, both in an understudied population, Hispanics along the US-Mexico border. Remarkably, we identified thousands of differentially methylated regions for SZ and BP preferentially located in promoters 3'-UTRs and 5'-UTRs of genes. Distinct patterns of aberrant methylation of promoter sequences were located surrounding transcription start sites. In these instances, aberrant methylation occurred in CpG islands (CGIs) as well as in flanking regions as well as in CGI sparse promoters. Pathway analysis of genes displaying these distinct aberrant promoter methylation patterns showed enhancement of epigenetic changes in numerous genes previously related to psychiatric disorders and neurodevelopment. Integration of gene expression data further suggests that in SZ aberrant promoter methylation is significantly associated with altered gene transcription. In particular, we found significant associations between (1) promoter CGIs hypermethylation with gene repression and (2) CGI 3'-shore hypomethylation with increased gene expression. Finally, we constructed a specific methylation analysis platform that facilitates viewing and comparing aberrant genome methylation in human neuropsychiatric disorders.
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Project description:The transcription factor GATA3 plays an essential role during T cell development and T helper 2 (Th2) cell differentiation. To understand GATA3-mediated gene regulation, we identified genome-wide GATA3 binding sites in ten well-defined developmental and effector T lymphocyte lineages. In the thymus, GATA3 directly regulated many critical factors, including Th-POK, Notch1, and T cell receptor subunits. In the periphery, GATA3 induced a large number of Th2 cell-specific as well as Th2 cell-nonspecific genes, including several transcription factors. Our data also indicate that GATA3 regulates both active and repressive histone modifications of many target genes at their regulatory elements near GATA3 binding sites. Overall, although GATA3 binding exhibited both shared and cell-specific patterns among various T cell lineages, many genes were either positively or negatively regulated by GATA3 in a cell type-specific manner, suggesting that GATA3-mediated gene regulation depends strongly on cofactors existing in different T cells.
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