Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA263641 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1610762_1.fastq.gz | Fastqsanger.gz | |||
| SRR1610762_2.fastq.gz | Fastqsanger.gz | |||
| SRR1610763_1.fastq.gz | Fastqsanger.gz | |||
| SRR1610763_2.fastq.gz | Fastqsanger.gz | |||
| SRR1610764_1.fastq.gz | Fastqsanger.gz |
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Project description:Unraveling complexity of DNA methylome is essential to decipher DNA methylation mechanism in life. However, this has been subjected to technological constraints to balance between cost and accurate measurement of the DNA methylation level. In this study, by innovatively introducing C-hydroxylmethylated adapters, we have developed MeDIP-Bisulfite sequencing (MB-seq), which could obtain DNA methylome of repertoire CpGs at single-base resolution. We found MB-seq only costs 10% of MethylC-seq, but covers 85% of total CpGs in human genome. Unlike absolute methylation levels determined by MethylC-seq and RRBS, MB-seq presented relative methylation levels that are linearly inflated. This has enlightened us to develop a MB-seq corresponding correction method for methylation level based on ridge regression, which integrates the data of MB-seq and RRBS to predict the methylation level of total 28.2 million CpGs on human genome with high accuracy (Pearson correlation coefficient, PCC=0.90). Moreover, by employing MB-seq, we generated the DNA methylome of an ovarian epithelial cell line (T29) and its oncogenic counterpart (T29H), respectively. After ridge regression, we identified 131,790 differential methylation regions (DMRs) with high accuracy between T29 and T29H, far more than 7,567 obtained from RRBS. Taken together, our result demonstrated that the MB-seq combined with ridge regression is a wide applicable approach for profiling of DNA methylome.
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Project description:In this study, we have developed MB-seq, a novel DNA methylome profiling technology combining MeDIP-seq with bisulfite conversion, which can precisely detect the 5mC sites and determine their DNA methylation level at single-base resolution in a cost-effective way. In addition, we have developed a new alternative method, MRB-seq (MeDIP-repetitive elements removal-bisulfite sequencing), which interrogates 5mCs in functional regions by depleting nearly half of repeat fragments enriched by MeDIP. Comparing MB-seq and MRB-seq to whole-genome BS-seq using the same batch of DNA from YH peripheral blood mononuclear cells. We found that the sequencing data of MB-seq and MRB-seq almost reaches saturation after generating 7-8 Gbp data, whereas BS-seq requires about 100 Gbp data to achieve the same effect. In comparison to MeDIP-seq and BS-seq, MB-seq offers several key advantages, including single-base resolution, discriminating the methylated sites within a CpG and non-CpG pattern and overcoming the false positive of MeDIP-seq due to the non-specific binding of 5-methylcytidine antibody to genomic fragments.
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Project description:Methylated DNA immunoprecipitation sequencing (MeDIP-Seq) is a widely used approach to study DNA methylation genome-wide. Here, we present a novel MeDIP-Seq protocol compatible with the Ion Torrent semiconductor-based sequencing platform that is scalable and accurately identifies sites of differential DNA methylation. Additionally, we demonstrate that the high-throughput data derived from MeDIP-Seq on the Ion Torrent platform provides adequate coverage of CpG cytosines, the methylation states of which we validated at single-base resolution on the Infinium HumanMethylation450K Beadchip array. We applied this integrative approach to further investigate the role of DNA methylation in alternative splicing and to profile 5-mC and 5-hmC variants of DNA methylation in normal human brain tissue that we observed localize over distinct genomic regions. These applications of MeDIP-Seq on the Ion Torrent platform have broad utility and add to the current methodologies for profiling genome-wide DNA methylation states in normal and disease conditions. MeDIP-Seq on Ion Torrent Platform in HCT116 and Human Brain
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Project description:Methylated DNA immunoprecipitation sequencing (MeDIP-Seq) is a widely used approach to study DNA methylation genome-wide. Here, we present a novel MeDIP-Seq protocol compatible with the Ion Torrent semiconductor-based sequencing platform that is scalable and accurately identifies sites of differential DNA methylation. Additionally, we demonstrate that the high-throughput data derived from MeDIP-Seq on the Ion Torrent platform provides adequate coverage of CpG cytosines, the methylation states of which we validated at single-base resolution on the Infinium HumanMethylation450K Beadchip array. We applied this integrative approach to further investigate the role of DNA methylation in alternative splicing and to profile 5-mC and 5-hmC variants of DNA methylation in normal human brain tissue that we observed localize over distinct genomic regions. These applications of MeDIP-Seq on the Ion Torrent platform have broad utility and add to the current methodologies for profiling genome-wide DNA methylation states in normal and disease conditions.
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Project description:Single-base resolution DNA methylomes have been accomplished for both Arabidopsis and human cells which have high genome methylation levels by Illumina ultra-high-throughput bisulfite sequencing technology (MethylC-Seq). Here by combining MethylC-Seq and biological replicate strategies we generated single-base resolution methylome for the silkworm which has low genome methylation levels like other insects. Our conservative estimation showed that methylcytosines (mCs) accout for about 0.11% of genomic cytosines, exclusively in CG context. The CG methylation is significantly enriched in gene bodies and positively correlated with gene expression levels, suggesting its positive role in gene transcription in silkworms. However, the well-documented functions of methylation on promoters and rDNAs in plants and mammals do not seem to have effects in insects. Methylated genes are enriched in functions involved in cellular metabolism and biosynthesis. Small RNA (smRNA) loci are also significantly enriched in gene bodies, and moreover, the smRNA loci and the predicted target sites of microRNA have high level of CG methylation, indicating functional involvement of smRNAs in the genic methylation This first methylome for silkworms provides a foundation for further studies on the epigenetic gene regulation of silkworms’ or even insects’ gene methylation. Each silk gland of 5th instar larvae of two individuals (called Biological Replicate 1 and 2, respectively) of the silkworm (Bombyx mori) strain Dazao was ground into powder in liquid nitrogen. Half of the powder from each silk gland was used to extract total DNAs using DNeasy Blood & Tissue Kit (Qiagen) and another half was used to extract total RNAs using RNeasy Mini Kit (Qiagen). We sequenced bisulfite-treated total DNA extracted from the silk glands of the two individuals, using Illumina Ultra-High-Throughput Sequencing, generating the Single-Base Resolution Methylomes. To reveal functional consequences of gene body methylation, we generated expression profiles for the two individuals’ silk glands using Digital Gene Expression tag profiling (DGE) technology, which combines classic SAGE (Serial Analysis of Gene Expression) and Illumina ultra-high-throughput sequencing technology.
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