Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

DNMT1-associated long non-coding RNA regulate global gene expression and DNA methylation in colon cancer

ABSTRACT: The investigation of the association of long non-coding RNAs (lncRNAs) with DNMT1 by RIP-seq reveals that DNMT1 interacts with DACOR1. We identified the genomic occupancy sites of DACOR1 through ChIRP-seq, which we found to significantly overlap with known differentially methylated regions (DMRs) in colon tumors. Induction of DACOR1 in colon cancer cell lines significantly reduced their ability to form colonies in vitro, suggesting a growth suppressor function. Consistent with the observed phenotype, induction of DACOR1 led to the activation of tumor-suppressor pathways and attenuation of cancer-associated metabolic pathways. Notably, DACOR1 induction resulted in down-regulation of Cystathionine ?-synthase (CBS), which is known to lead to increased levels of S-adenosyl methionine (SAM) – the key methyl donor for DNA methylation. The DNA methyltransferase DNMT1 was immunoprecipitated and all associated RNAs were identified by RNA-seq and subsequent bioinformatic analyses. Samples were prepared for DNA sequencing through the ChIRP-seq protocol which uses antisense DNA oligos to bind to DACOR1 and pull down associated DNA in complex. We sequenced one sample with DACOR1 specific probes and non-specific DNA probes as control. Three samples were collected for each control lentivirus transduced V852 colon cancer line and DACOR1 lentivirus transduced V852. Samples were processed for RNA-sequencing and analyzed through differential expression analysis.

ORGANISM(S): Homo sapiens

SUBMITTER: Ahmad Khalil

PROVIDER: E-GEOD-58989 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Similar Datasets

Project description:To address the need to study frozen clinical specimens using next-generation RNA, DNA, chromatin immunoprecipitation (ChIP) sequencing and protein analyses, we developed a biobank work flow to prospectively collect biospecimens from patients with renal cell carcinoma (RCC). We describe our standard operating procedures and work flow to annotate pathologic results and clinical outcomes. We report quality control outcomes, nucleic acid yields of our RCC submissions (N=16) to The Cancer Genome Atlas (TCGA) project, as well as newer discovery platforms by describing mass spectrometry analysis of albumin oxidation in plasma and 6 ChIP sequencing libraries generated from nephrectomy specimens after histone H3 lysine 36 trimethylation (H3K36me3) immunoprecipitation. From June 1, 2010, through January 1, 2013, we enrolled 328 patients with RCC. Our mean (SD) TCGA RNA integrity numbers (RINs) were 8.1 (0.8) for papillary RCC, with a 12.5% overall rate of sample disqualification for RIN <7. Banked plasma had significantly less albumin oxidation (by mass spectrometry analysis) than plasma kept at 25°C (P<.001). For ChIP sequencing, the FastQC score for average read quality was at least 30 for 91-95% of paired-end reads. In parallel, we analyzed frozen tissue by RNA sequencing and after genome alignments, only 0.2-0.4% of total reads failed the default quality check steps of Bowtie2, which was comparable to the disqualification ratio (0.1%) of the 786-O RCC cell line, prepared under optimal RNA isolation conditions. The overall correlation coefficients for gene expression between the Mayo Clinic vs. TCGA tissues ranged from 0.75 to 0.82. These data support the generation of high-quality nucleic acids for genomic analyses from banked RCC. Importantly, the protocol does not interfere with routine clinical care. Collections over defined time points during disease treatment further enhance collaborative efforts to integrate genomic information with outcomes. Examination of H3K36me3 in ccRCC

Dataset Information

DNMT1-associated long non-coding RNA regulate global gene expression and DNA methylation in colon cancer

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets