Reduced representation bisulfite sequencing (RRBS) of chronic lymphocytic leukemia (CLL) samples
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ABSTRACT:
PROVIDER: PRJNA601216 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:The field of cancer genomics has been empowered by increasingly sophisticated inference tools to distinguish driver mutations from the vastly greater number of passenger mutations. Similarly, promoter DNA hypermethylation has been shown to drive cancer through inactivation of tumor suppressor genes (TSGs), but growing malignant populations also accrue pervasive stochastic epigenetic changes in DNA methylation (DNAme), which likely carry little functional impact. However, the development of DNAme inference methods has lagged behind, providing limited ability to robustly differentiate driver DNAme changes (epidrivers) from stochastic, passenger DNAme changes. To address this challenge, we developed MethSig, a statistical inference framework that accounts for the varying stochastic hypermethylation rates across the genome and between samples. MethSig estimates the background expected DNAme changes, thereby allowing the identification of epigenetically disrupted loci, where observed hypermethylation significantly exceeds expectation, potentially reflecting positive selection. We applied MethSig to reduced representation bisulfite sequencing (RRBS) data of 407 chronic lymphocytic leukemia (CLL) samples, including 304 CLLs collected in a prospective clinical trial. MethSig resulted in well-calibrated quantile-quantile (Q-Q) plots in contrast to ubiquitously used statistical methods, and reproducible inference of epidrivers across independent cohorts. MethSig provided robust inference in additional cancer types, including multiple myeloma (MM, n = 44) and ductal carcinoma in situ (DCIS, n = 24). To further validate MethSig’s inferences, selected CLL candidate epidrivers (DUSP22, RPRM, or SASH1) underwent CRISPR/Cas9 knockout in CLL cells, showing superior fitness in ibrutinib and fludarabine treatment compared with controls. Candidate epidrivers are enriched in known TSGs, and in genes hypermethylated or inactivated across cancer types. Notably, greater number of epidrivers was closely associated with adverse outcome in CLL in a multivariable model accounting for additional adverse prognostic marks. Application of MethSig to CLL relapsed after chemoimmunotherapy further identified relapse-specific epidrivers, enriched in TP53 targets as well as DNA damage pathway. Collectively, MethSig represents a novel framework for robust identification of epidrivers to chart the role of aberrant DNAme in cancer.
2021-05-07 | GSE143673 | GEO
Project description:We exploited the methylation genome-scale screening RRBS to correlate the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci. Out of 15275 non ambiguous gene loci identified by DNMT1 RIP-Seq, 9436 loci were covered by RRBS. These 9436 loci were clustered according to the fold of specific DNMT1 library peaks enrichment (defined as the ratio of the sum of the area under the curve of specific DNMT1 library peaks covering the gene loci). Genes were then stratified by the expression profile ultimately leading to the epitranscriptome map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile. Relationship between DNMT1-RNA interactions, DNA methylation and gene expression
2012-12-01 | E-GEOD-32168 | biostudies-arrayexpress
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.
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Project description:We exploited the methylation genome-scale screening RRBS to correlate the RNA species physically associated with DNMT1 and proximal to the annotated genes to the methylation status of the corresponding loci. Out of 15275 non ambiguous gene loci identified by DNMT1 RIP-Seq, 9436 loci were covered by RRBS. These 9436 loci were clustered according to the fold of specific DNMT1 library peaks enrichment (defined as the ratio of the sum of the area under the curve of specific DNMT1 library peaks covering the gene loci). Genes were then stratified by the expression profile ultimately leading to the epitranscriptome map, a comprehensive map cross-referencing DNMT1-interacting transcripts to (i) DNA methylation and (ii) gene expression profile.
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Project description:Zebrafish Primordial Germ Cells (PGCs) and somatic cells were isolated via FACS from Buc-GFP fish strain. Reduced representation bisulfite sequencing (RRBS) was performed on PGCs and somatic cells at high(6000-7000 cells per replicate), dome (7500 cells per replicate)and prim-5 stages(4500-5000 cells per replicate). Two replicates were collected for each cell type and stage.
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Project description:DNA methylation is an important regulatory mechanism that contributes to transcriptional repression. To examine whether DNA methylation affects the transcriptional changes of DNA repair genes under H2O2-induced oxidative stress, we performed reduced representation bisulfite sequencing (RRBS) in H2O2-treated and untreated HCT116 cells.
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Project description:The aim of the project was to identify the tissue-specific DNA methylation patterns of selected horse tissues, derived from two germ layers, endodermal (liver and lung) and mesenchymal (cardiac striated muscle) origin. The comparative analysis of DNA methylation patterns of the genome fraction rich in CpG dinucleotides was investigated using Reduced Representation Bisulfite Sequencing (RRBS) technique.
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Project description:DNA methylation is a mechanism for long-term transcriptional regulation and is required for normal cellular differentiation. Failure to properly establish or maintain DNA methylation patterns leads to cell dysfunction and diseases such as cancer. Identifying DNA methylation signatures in complex tissues can be challenging due to inaccurate cell enrichment methods and low DNA yields. We have developed a technique called Laser Capture Microdissection-Reduced Representation Bisulfite Sequencing (LCM-RRBS) for the multiplexed interrogation of the DNA methylation status of CpG Islands and promoters. LCM-RRBS accurately and reproducibly profiles genome-wide methylation of DNA extracted from microdissected fresh frozen or formalin-fixed paraffin-embedded tissue samples. To demonstrate the utility of LCM-RRBS, we characterized changes in DNA methylation associated with gonadectomy-induced adrenocortical neoplasia in the mouse. Compared to adjacent normal tissue, the adrenocortical tumors showed reproducible gains and losses of DNA methylation at genes involved in cell differentiation and organ development. LCM-RRBS is a rapid, cost-effective, and sensitive technique for analyzing DNA methylation in heterogeneous tissues and will facilitate the investigation of DNA methylation in cancer and organ development. Laser capture microdissection-reduced representation bisulfite sequencing and reduced representation bisulfite sequencing on human blood leukocyte, human endometrial tumor, mouse liver tissue, and mouse normal and neoplastic adrenal tissue
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