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Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics [meDIP-seq]

ABSTRACT: Validation of methylation data for 9 osteosarcoma Patient tumours and PDXs by MeDIP followed by next generation sequencing 9 samples, MeDIP done with Diagenode kit and libraries prepped using NEB kit, sequenced on HiSeq 2000

ORGANISM(S): Homo sapiens

SUBMITTER: Paul Guilhamon

PROVIDER: E-GEOD-59351 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics [meDIP-seq]

Project description:Validation of methylation data for 9 osteosarcoma Patient tumours and PDXs by MeDIP followed by next generation sequencing

2014-11-26 | GSE59351 | GEO

Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics [methylation profiling by array]

Project description:Illumina Infinium 450k Human DNA Methylation BeadChip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in Osteosarcoma and Colon Cancer PDXs Bisulphite converted DNA from each sample was hybridised to the Illumina Infinium 450k Human Methylation BeadChip.

2014-11-26 | E-GEOD-59134 | biostudies-arrayexpress

Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics

Project description:This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

2014-11-26 | E-GEOD-59352 | biostudies-arrayexpress

Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics [methylation profiling by array]

Project description:Illumina Infinium 450k Human DNA Methylation BeadChip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in Osteosarcoma and Colon Cancer PDXs

2014-11-26 | GSE59134 | GEO

Developmental features of DNA methylation during activation of the embryonic zebrafish genome

Project description:Zygotic genome activation (ZGA) occurs at the mid-blastula transition (MBT) in zebrafish and is a period of chromatin remodeling. Genome-scale gametic demethylation and remethylation occurs after fertilization, during blastula stages, but how ZGA relates to promoter DNA methylation states is unknown. Using methylated DNA immunoprecipitation coupled to high-density microarray hybridization (MeDIP-ChIP), we characterize genome-wide promoter DNA methylation dynamics before, during and after ZGA onset, in relation changes in post-translational histone modification and gene expression (Series GSE22830). A Kolmogorov-Smirnov (KS) test was applied with P <= 0.01 to identify methylation peaks. MeDIP-chip experiments were performed on24 hpf zebrafish embryos and sperm. Samples were lysed and proteins digested by proteinase k treatment. DNA was extracted with phenol-chloroform-isoamylalcohol and ethanol precipitation. The DNA was RNAse treated and sonicated to fragment lengths between 300-1000 bp. From each stage, duplicate immuneoprecipitations were performed using anti-5-methylcytosine antibody (10 ng/M-BM-5l; Mab-006-100; Diagenode) coupled to Dynabeads M-280 sheep anti-mouse IgG (Invitrogen). MeDIP and input DNA (150 ng each) were amplified (WGA-2; Sigma-Aldrich), cleaned up, eluted and processed for array hybridization. MeDIP and input DNA were labeled and co-hybridized onto the Nimbegen promoter arrays. The array covers 15 kb of upstream regulatory sequence and 5 kb downstream of the TSS of all zebrafish genes. A Kolmogorov-Smirnov (KS) test was applied with P <= 0.01 to identify methylation peaks.

2012-07-05 | E-GEOD-33236 | biostudies-arrayexpress

ePIANNO: ePIgenomics ANNOtation tool.

Project description:Recently, with the development of next generation sequencing (NGS), the combination of chromatin immunoprecipitation (ChIP) and NGS, namely ChIP-seq, has become a powerful technique to capture potential genomic binding sites of regulatory factors, histone modifications and chromatin accessible regions. For most researchers, additional information including genomic variations on the TF binding site, allele frequency of variation between different populations, variation associated disease, and other neighbour TF binding sites are essential to generate a proper hypothesis or a meaningful conclusion. Many ChIP-seq datasets had been deposited on the public domain to help researchers make new discoveries. However, researches are often intimidated by the complexity of data structure and largeness of data volume. Such information would be more useful if they could be combined or downloaded with ChIP-seq data. To meet such demands, we built a webtool: ePIgenomic ANNOtation tool (ePIANNO, http://epianno.stat.sinica.edu.tw/index.html). ePIANNO is a web server that combines SNP information of populations (1000 Genomes Project) and gene-disease association information of GWAS (NHGRI) with ChIP-seq (hmChIP, ENCODE, and ROADMAP epigenomics) data. ePIANNO has a user-friendly website interface allowing researchers to explore, navigate, and extract data quickly. We use two examples to demonstrate how users could use functions of ePIANNO webserver to explore useful information about TF related genomic variants. Users could use our query functions to search target regions, transcription factors, or annotations. ePIANNO may help users to generate hypothesis or explore potential biological functions for their studies.

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The Myc-Associated Zinc Finger Protein (MAZ) controls STAT1-mediated antiviral response by reshaping epigenome [MeDIP-Seq]

Project description:The objectives of this study are to understand the regulatory roles of MAZ in biological processes using the NGS-deriveed ChIP-seq, DNA-MEDIP-seq and RNA-seq data in HAP1 control cells and MAZ knockout cells. Our comparative analysis of these data generated from the HAP1 control and MAZ KO cells shows that MAZ is required for recruiting STAT1 to its target sites by reshaping epigenetic landscape in the human genome, thereby mediating antiviral response cells. MEDIP-seq was performed using the MagMeDIP-seq Package from Diagenode in HAP1 control and HAP1 MAZ knockout cells following manufacturer's instructions.

2024-04-04 | GSE215082 | GEO

Hypermethylation in the ZBTB20 gene is associated with major depressive disorder

Project description:Genome-wide MeDIP-Sequencing of 23 monozygotic twin pairs (n=46) from Australia discordant for major depressive disorder (MDD). MeDIP-seq of 23 monozygotic twin pairs discordant for major depressive disorder. MZ twin pairs were compared to identify significantly differently methylated sites associated with MDD.

2014-01-25 | E-GEOD-54370 | biostudies-arrayexpress

Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics

Project description:Assessment of patient-derived tumour xenografts (PDXs) as a discovery tool for cancer epigenomics

| PRJNA255123 | ENA

Commercial ChIP-Seq library preparation kits performed differently for different classes of protein targets

Project description:ChIP-Seq is a powerful method commonly used to study global protein-DNA interactions including both transcription factors and histone modifications. We have found that the choice of ChIP-Seq library preparation protocol plays an important role in overall ChIP-Seq data quality. However, very few studies have compared ChIP-Seq libraries prepared by different protocols using multiple targets and a broad range of input DNA levels. In this study, we evaluated the performance of four ChIP-Seq library preparation protocols [NEB NEBNext Ultra II, Roche KAPA HyperPrep, Diagenode MicroPlex, and Bioo (now PerkinElmer) NEXTflex] on three target proteins, chosen to represent the three typical signal enrichment patterns in ChIP-Seq experiments: sharp peaks (H3K4me3), broad domains (H3K27me3) and punctate peaks with a protein binding motif (CTCF). We also tested a broad range of different input DNA levels from 0.10 to 10 ng for H3K4me3 and H3K27me3 experiments. Our results suggest that the NEB protocol may be better for preparing H3K4me3 (and potentially other histone modifications with sharp peak enrichment) libraries; the Bioo protocol may be better for preparing H3K27me3 (and potentially other histone modifications with broad domain enrichment) libraries, and the Diagenode protocol may be better for preparing CTCF (and potentially other transcription factors with well-defined binding motifs) libraries. For ChIP-Seq experiments using novel targets without a known signal enrichment pattern, the NEB protocol might be the best choice as it performed well for each of the three targets we tested across a wide array of input DNA levels.

2023-06-23 | GSE196402 | GEO

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