Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA156019 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE35311: Integrative array-based approach identifies MZB1 as a frequently methylated putative tumor-suppressor in hepatocellular carcinoma (expression) GSE35312: Integrative array-based approach identifies MZB1 as a frequently methylated putative tumor-suppressor in hepatocellular carcinoma (MeDIP) Refer to individual Series
2012-03-30 | E-GEOD-35313 | biostudies-arrayexpress
Project description:Integrative array-based approach identifies MZB1 as a frequently methylated putative tumor-suppressor in hepatocellular carcinoma (expression)
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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
2015-06-10 | E-GEOD-61968 | biostudies-arrayexpress
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.
2015-06-10 | GSE61968 | GEO
Project description:Silencing of tumor suppressor genes plays a vital role in head and neck carcinogenesis. Aberrant hypermethylation in the promoter region of some known or putative tumor suppressor genes (TSGs) occurs frequently during the development of various cancers including head and neck squamous cell carcinoma (HNSCC). In this study we used an expanded mRNA expression profiling approach followed by microarray expression analysis to identify epigenetically inactivated genes in HNSCC. Two HNSCC cell lines were treated with 5-aza-2’-deoxycytidine followed by microarray analysis to identify epigenetically silenced genes in HNSCC. 1960, 614, and 427 genes were upregulated in HNSCC cell lines JHU-012, JHU-011 and the combination of both cell lines, respectively. HNSCC tumor and normal mucosal samples were used for gene profiling by a 47K mRNA gene expression array and we found, 7140 genes were downregulated in HNSCC tumors compared to normal mucosa as determined by microarray analysis and were integrated with cell line data. Integrative analysis defined 126 candidate genes, of which only seven genes showed differentially methylation in tumors and no methylation in normal mucosa after bisulfite sequencing. After validation by QMSP, one gene, GNG7, was confirmed as being highly methylated in tumors and unmethylated in normal mucosal and salivary rinse samples demonstrating cancer-specific methylation in HNSCC tissues. TXNIP and TUSC2 were partially methylated in tumors and normal salivary rinses but unmethylated in normal mucosa. We concluded GNG7 as a highly specific promoter methylated gene associated with HNSCC. In addition, TXNIP and TUSC2 are also potential biomarkers for HNSCC.
2014-05-01 | GSE29330 | GEO
Project description:Genome wide expression profiling of 20 PDAC cell lines and an immortalized non-malignant pancreatic duct cell line (HPDE) to facilitate identification of novel tumor suppressor genes using an integrative genomics approach Genome wide expression profiling of 20 PDAC cell lines and an immortalized non-malignant pancreatic duct cell line (HPDE) to facilitate identification of novel tumor suppressor genes using an integrative genomics approach RNA from the 21 samples was converted to Cy3 labeled cRNA and hybridized to the array; arrays were processed with GenePix software and median array normalization was performed
2012-11-01 | E-GEOD-40098 | biostudies-arrayexpress
Project description:Chronic pain is a global public health problem, but the underlying molecular mechanisms are not fully understood. Here we examine genome-wide DNA methylation, first in 50 identical twins discordant for heat pain sensitivity and then in 50 further unrelated individuals. Whole blood DNA methylation was characterized at 5.2 million loci by MeDIP-sequencing and assessed longitudinally to identify differentially methylated regions associated with high or low pain-sensitivity (pain-DMRs). Nine meta-analysis pain-DMRs show robust evidence for association (false discovery rate 5%) with the strongest signal in the pain gene TRPA1 (P=1.2M-CM-^W10-13). Several pain-DMRs show longitudinal stability consistent with susceptibility effects, have similar methylation levels in brain, and altered expression in skin. Our approach identifies epigenetic changes in both novel and established candidate genes that provide molecular insights into pain and may generalize to other complex traits. MeDIP-sequencing in 100 individulas using a 2 stage design: paired-end MeDIP-seq in 50 monozygotic twins and single-end MeDIP-seq in 50 unrelated individuals.
2013-12-04 | E-GEOD-52965 | biostudies-arrayexpress
Project description:This study was undertaken to identify novel tumour suppressor genes in lung adenocarcinoma. EYA4, located at 6q23.2 was identified as a frequently lost and hypermethylated gene in the analyzed samples. 7 Breast cancer cell lines profiled on the SMRTr array in conjunction with matched DNA methylation data, allelic status and gene expression data for integrative analysis.
2010-12-31 | E-GEOD-21540 | biostudies-arrayexpress
Project description:Classically, there are two types of endometrial cancer, endometrioid adenocarcinoma (EAC), or Type I; and uterine papillary serous carcinoma (UPSC), or Type II. These two types of cancers exhibit distinct DNA methylation levels in promoters of many genes. In EAC, many tumor suppressor genes were silenced due to DNA hypermethylation at their promoter region. However, promoters of many of these genes remained unmethylated in UPSC. Here, we described complete DNA methylome maps of endometrioid adenocarcinoma, uterine papillary serous carcinoma, and normal endometrium, by applying a combined strategy of methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq). We took a complementary and orthogonal approach to identify DNA methylation changes unique to the two endometrial cancer subtypes in an unbiased fashion. We generated complete DNA methylome maps for endometrioid adenocarcinoma (EAC, three samples), uterine papillary serous carcinomas (UPSC, three samples), and normal endometrium (pooled samples) by integrating data from methylated DNA immunoprecipitation sequencing (MeDIP-seq) and methylation-sensitive restriction enzyme sequencing (MRE-seq).
2014-10-12 | E-GEOD-51565 | biostudies-arrayexpress