Project description:To investigate the relationship between meiotic recombination initiation and H3K4m3 in Arabidopsis, we generated and sequenced H3K4m3 ChIP libraries from meiotic stage floral buds in wild type, arp6 and met1. To produce high-resolution of H3K4m3 mapping, we used micrococcal nuclease (MNase) to digest chromatins that were cross-linked by formaldehyde for ChIP. This experiment provides for H3K4m3 maps with the resolution of mononucleosomal DNA level (~150 bp).
Project description:We generated and sequenced ChIP libraries for the meiotic cohesin subunit REC8 and four histone modifications (H3K4me1, H3K4me2, H3K9me2 and H3K27me1) to investigate their relationships with meiotic chromosome architecture and recombination in Arabidopsis thaliana. REC8 and H3K9me2 ChIP-seq were performed using meiotic-stage floral buds from wild type (Col-0) and non-CG DNA methylation/H3K9me2 pathway mutant (kyp/suvh4 suvh5 suvh6 or cmt3) plants to examine the role of heterochromatin assembly in meiotic cohesin distribution.
Project description:We performed ChIP-seq for the meiotic strand exchange protein DMC1, which marks an early stage in the meiotic recombination pathway, and the chromosome axis protein ASY1, which promotes interhomolog synapsis and recombination in plants, using tissue collected from immature pre-emergence spikes from wild type bread wheat cultivar Chinese Spring plants. To investigate connections between meiotic recombination and chromatin states in wheat, we also performed ChIP-seq for euchromatic (H3K4me3) and constitutive heterochromatic (H3K9me2 and H3K27me1) marks, and mapped genome-wide nucleosome occupancy via micrococcal nuclease sequencing (MNase-seq) using leaf tissue from Chinese Spring.
Project description:This dataset has been generated to identify promoter regions in the chicken genome to distinguish active and inactive genes. We focussed our analyses on actively transcribed tRNA and mRNAs genes. Chicken liver was cross-linked to capture histone-DNA interactions. Sequencing libraries were prepared from H3K4me3-precipitated DNA and input control.
Project description:This dataset has been designed to test whether codons in mRNAs and anticodons in tRNAs vary in order to maximize translation in specific cellular conditions in mammals. Prokaryotes and simple unicellular eukaryotes optimize their translational rates by adjusting the codons in the protein-coding transcriptome to the available pool of anticodons in the tRNA transcriptome. We found no evidence supporting this mechanism in mammals, even when subsets of genes were considered, such as those found in Gene Ontology functional categories or in tissue-specific transcriptional signatures. The simplest explanation accounting for the observed codon distributions in mammals is the variation in GC content of gene categories. GC variation across the mammalian genome is most likely to result from the interplay of genome repair and gene duplication mechanisms, rather than selective pressures caused by codon-driven translational rates. This work is part of experiment series: ChIP-Seq E-MTAB-958 and E-MTAB-2326.
Project description:We report the application of enyzme-based 4C-Seq technique for exploring Pou5f1 enhancer interactome in mouse ES cells. We explored the interactome of Pou5f1 upstream enhancer in mouse ES cells by using an enzyme digestion based 4C-Seq protocol. The interactome is involved in gene active regulation.
Project description:The epigenetic mechanisms established by histone modifications may affect the transcriptional silencing of HIV-1 and viral latency. A systematic epigenome profiling could be applicable to develop new epigenetic diagnostic markers for detecting HIV-1 latency. In this study, histone modification profiles of HIV-1 latency cell lines were compared with those of uninfected CD4+ T cell line. The HIV-1 latency gave rise to differential histone modification regions. The differential enrichment patterns helped us to define potential effector genes leading to the viral latency. The histone H3K4me3 and H3K9ac profiles were obtained from the HIV-1 latency cell lines (NCHA1, NCHA2, and ACH2) and control CD4+ T cell line (A3.01)
Project description:To address the need to study frozen clinical specimens using next-generation RNA, DNA, chromatin immunoprecipitation (ChIP) sequencing and protein analyses, we developed a biobank work flow to prospectively collect biospecimens from patients with renal cell carcinoma (RCC). We describe our standard operating procedures and work flow to annotate pathologic results and clinical outcomes. We report quality control outcomes, nucleic acid yields of our RCC submissions (N=16) to The Cancer Genome Atlas (TCGA) project, as well as newer discovery platforms by describing mass spectrometry analysis of albumin oxidation in plasma and 6 ChIP sequencing libraries generated from nephrectomy specimens after histone H3 lysine 36 trimethylation (H3K36me3) immunoprecipitation. From June 1, 2010, through January 1, 2013, we enrolled 328 patients with RCC. Our mean (SD) TCGA RNA integrity numbers (RINs) were 8.1 (0.8) for papillary RCC, with a 12.5% overall rate of sample disqualification for RIN <7. Banked plasma had significantly less albumin oxidation (by mass spectrometry analysis) than plasma kept at 25°C (P<.001). For ChIP sequencing, the FastQC score for average read quality was at least 30 for 91-95% of paired-end reads. In parallel, we analyzed frozen tissue by RNA sequencing and after genome alignments, only 0.2-0.4% of total reads failed the default quality check steps of Bowtie2, which was comparable to the disqualification ratio (0.1%) of the 786-O RCC cell line, prepared under optimal RNA isolation conditions. The overall correlation coefficients for gene expression between the Mayo Clinic vs. TCGA tissues ranged from 0.75 to 0.82. These data support the generation of high-quality nucleic acids for genomic analyses from banked RCC. Importantly, the protocol does not interfere with routine clinical care. Collections over defined time points during disease treatment further enhance collaborative efforts to integrate genomic information with outcomes. Examination of H3K36me3 in ccRCC
Project description:We report the application of 4C-Seq technique for exploring POU5F1 enhancer interactome in mouse embryonic stem cells. A statistical model was built to identify enriched interacting regions from raw 4C data. The biological replicate data were compared to identify reproducible interacting regions. The interacting sites in the reproducible regions are enriched with active histone marks as well as transcription factors Oct4, Klf4, Esrrb, Tcfcp2i1 and Zfx that are critical for reprogramming and pluripotency. Generation of Illumina HiSeq2000 sequencing data using 4C-Seq protocol