Project description:Reduced representation bisulfite sequencing (RRBS) provides an efficient method for measuring DNA methylation at single base resolution in regions of high CpG density. This technique has been extensively tested on the HiSeq2500, which uses a 4-colour detection method, however it is unclear if the method will also work on the NextSeq500 platform, which employs a 2-colour detection system. We created an RRBS library and sequenced it on both the HiSeq2500 and NextSeq500, and found no significant difference in the base composition of reads derived from either machine. Moreover, the methylation calls made from the data of each instrument were highly concordant, with methylation patterns across the genome appearing as expected. Therefore, RRBS can be sequenced on the Nextseq500 with comparable quality to that of the HiSeq2500.
Project description:Reduced Representation Bisulfite Sequencing for WEHI-AML-1 and WEHI-AML-2. RRBS libraries were made with the NuGEN Ovation RRBS Methyl-Seq System. Bisulfite conversion was performed with the Qiagen Epitect kit. Sequencing was performed on an Illumina HiSeq2500.
Project description:Reduced representation bisulfite sequencing (RRBS) was conducted on dorsolateral prefrontal cortex tissue samples taken from the brains of control individuals not affected by neurological disorder DNA methylation profiling was conducted using RRBS and the Illumina Genome Analyzer IIx
Project description:Here we used Illumina NGS for high-throughput profiling of the DNA methylome in two human colon cancer derived cell lines, two human normal bone marrow CD34+ controls and in five human Acutre Myeloid Leukeima patient samples. These data can be used to determine the CpG cytosine methylation pattern at base pair resolution in each sample and to determine differentially methylated cytosines and regions between samples Reduced Representation Bisulfite Sequencing (RRBS) and Extended Reduced Representation Bisulfite Sequencing (ERRBS) on genomic DNA. We used colon cancer cell lines (two) to establish reproducbility and range of assay sensitivity. We used Acute Myeloid Leukemia patient samples and CD34+ bone marrow cells as controls to determine the methylome pattern in the patient samples
Project description:Loss of Tet1 expression causes global 5mC and 5hmC changes in stem and progenitor cells in mice and causes enhanced Pro-B cell self-renewal, increased DNA damage and B-lymphomageneis. In this study we performed reduced representative bisulfite sequencing (RRBS) of DNA from WT and Tet1 KO LSK cells. DNA methylation sequencing was performed and analyzed using an enhanced reduced representation (ERRBS) methodology as previously described. DNA was extracted from purified LSK cells of 6-month old WT and Tet1 KO mice, Bisulphite treatment was performed using the EZ DNA Methylation Kit (Zymo Research). Libraries were amplified according to illumina protocols and sequenced on an Illumina HiSeq2500 machine DNA methylation profiling of LSK cells in WT and Tet1 KO mice.
Project description:Seasonal photoperiodic changes have strong impact on development in Nasonia vitripennis. Here, Using high-throughput Reduced Representation Bisulfite Sequencing (RRBS) and single-molecule-based sequencing, we generated DNA methylation maps of female wasps maintained in long vs short day. We have identified differential methylated loci that encode the photoperiodic change. analysis of DNA methylation in female wasps maintained in long vs short day, using RRBS followed by Illumina sequencing
Project description:We report the generation and analysis of genome-scale DNA methylation profiles at nucleotide resolution in mammalian cells. Using high-throughput Reduced Representation Bisulfite Sequencing (RRBS) and single-molecule-based sequencing, we generated DNA methylation maps covering the vast majority of CpG islands, and a representative sampling of conserved non-coding elements, transposons and other genomic features, for murine embryonic stem (ES) cells, ES-derived and primary neural cells, and eight other primary tissues. Several key findings emerge from the data. First, DNA methylation patterns are better correlated with histone methylation patterns than with the underlying genome sequence context. Second, methylation of CpGs are dynamic epigenetic marks that undergo extensive changes during cellular differentiation, particularly in regulatory regions outside of core promoters. Third, analysis of ES-derived and primary cells reveals that 'weak' CpG islands associated with a specific set of developmentally regulated genes undergo aberrant hypermethylation during extended proliferation in vitro, in a pattern reminiscent of that reported in some primary tumors. More generally, the results establish RRBS as a powerful technology for epigenetic profiling of cell populations relevant to developmental biology, cancer and regenerative medicine. Keywords: High-throughput Reduced Representation Bisulfite Sequencing (RRBS), Illumina, cell type comparison Reduced representation bisulfite sequencing (MspI,~40-220bp size fraction) of 18 murine cell types. Raw sequence data files for this study are available for download from the SRA FTP site at ftp://ftp.ncbi.nlm.nih.gov/sra/Studies/SRP000/SRP000179
Project description:To assess variation and inheritance of genome-wide patterns of DNA methylation simultaneously in humans, we applied reduced representation bisulfite sequencing (RRBS) to somatic DNA from six members of a three-generation family. Reduced representation bisulfite sequencing was applied to genomic DNA from leukocytes of 6 family members and two unrelated individuals.
Project description:The methylation status of colon epithelial cells was profiled in wild type mice and mice expressing a Dnmt3b transgene. Genome-scale methylation profiles were generated using reduced representation bisulfite sequencing (RRBS), with CpG methylation scored by promoter and also summarized by gene. Dnmt3b expression is associated with a strong increase in de novo methylation of a discrete subset of "methylation sensitive" genes which show a strong concordance with genes methylated in human colon cancer. These results, together with further analysis, indicate that colon epithelial cell methylation in the Dnmt3b mouse model predicts DNA methylation of human colon cancer with high confidence. Three each of Dnmt3b-induced and control mice, each split into two fractions.