Project description:Detection of DNA hypermethylation across all UCSC annotated CpG islands and refseq promoter sequences in neuroblatoma cell lines and neuroblastic tumors
Project description:Methylated DNA immunoprecipitaion (MeDIP) from primary neuroblastoma tumors and cell lines treated with retinoic acid hybridized to miRNA custom designed tiling arrays.
Project description:Following treatment with the de-methylating agent 5-aza-deoxycytidine (DAC), the gene expression profiles of neuroblastoma cell lines Kelly, SK-N-AS and NGP were analysed in order to examine the relationship between transcriptional re-activation and promoter region DNA methylation.<br>In addition, the neuroblastoma cell line SK-N-BE was treated with all-trans-retinoic acid (ATRA) in order to examine the impact this differentiation agent has on DNA methylation status.
Project description:Methylthioadenosine phosphorylase (MTAP), a key enzyme in the adenine and methionine salvage pathways, catalyzes the hydrolysis of methylthioadenosine (MTA), a compound suggested to affect pivotal cellular processes in part through the regulation of protein methylation. MTAP is expressed in a wide range of cell types and tissues and its deletion is common to cancer cells and in liver injury. The aim of this study was to investigate the proteome and methyl proteome alterations triggered by MTAP deficiency in liver cells to define novel regulatory mechanisms that may explain the pathogenic processes of liver diseases. iTRAQ analysis resulted in the identification of 216 differential proteins (p<0.05) that suggest deregulation of cellular pathways as those mediated by ERK or NFκB. R-methyl proteome analysis lead to the identification of 74 differentially methylated proteins between SK-Hep1 and SK-Hep1+ cells, including 116 new methylation sites. Restoring normal MTA levels in SK-Hep1+ cells parallels the specific methylation of 56 proteins, including KRT8, TGF and CTF8A, which provides a novel regulatory mechanism of their activity with potential implications in carcinogenesis. Inhibition of RNA binding proteins methylation is especially relevant upon accumulation of MTA. As an example, methylation of quaking protein in R242 and R256 in SK-Hep1+ cells may play a pivotal role in the regulation of its activity as indicated by the up-regulation of its target protein p27 kip1. The phenotype associated with a MTAP deficiency was further verified in the liver of MTAP+/- mice. Our data support that MTAP deficiency leads to MTA accumulation and deregulation of central cellular pathways, increasing proliferation and decreasing the susceptibility to chemotherapeutic drugs, which involves differential protein methylation.
Project description:We used Nimblegen HD aCGH to detect copy-number variants between genomes of BN and SHR rats Comparison of single BN against single SHR individual in a dye-swap experiment
Project description:We used Nimblegen HD aCGH to detect copy-number variants between genomes of BN and M520 rats Comparison of single BN against single M520 individual in a dye-swap experiment
Project description:Transcriptional profiling of human leukemia?HL-60 cells comparing ATRA treated HL-60 cells with ATRA plus ATO. Goal was to determine the effects of ATO on ATRA induced differentiation of HL-60 cells. Two-condition experiment, ATRA vs. ATRA plus ATO treated HL-60 cells.
Project description:We used Nimblegen HD aCGH to detect DNA recovery from different tissue samples Comparison of DNA isolated from different tissues of BN and ACI rats in dye-swap setup
Project description:Samples from 20 children with B-cell precursor ALL, comprising ten with high hyperdiploidy and ten with the ETV6/RUNX1 fusion, were included in the study. Four µg of methylated and input fraction DNA were analyzed with a classic MeDIP assay and subsequent microarray hybridization using the NimbleGen CpG Island-Plus-Promoter Array (Roche NimbleGen, Madison, WI).<br><br>This array platform covers all 28,226 UCSC-annotated CpG islands and promoter regions for all RefSeq genes, including 385,000 probes of 50-75mer length per array, with an upstream and downstream promoter tiling of 800 bp and 200 bp, respectively. Signal intensity data were extracted from the scanned images. Each feature on the array has a corresponding log2 ratio, which is the ratio of the input signals for the methylated DNA and the input fraction DNA. The log2 ratio was scaled in order to center the ratio data around zero by subtracting the bi-weight mean for the log2 ratio values for all features on the array from each log2 ratio value. A modified ACME algorithm, where a fixed-length window (750 bp) is placed around each consecutive probe, and the one-sided Kolmogorov-Smirnov test were then applied on the scaled log2 ratio data to determine whether the probes were drawn from a significantly more positive distribution (peak) of intensity log2 ratios than the other probes in the array. The resulting score for each probe is the -log10 p-value from the windowed Kolmogorov-Smirnov test around that probe. Peak data were generated by searching for probes above a p-value minimum cut-off (-log10) of 2.<br><br>Peaks within 500 bp of each other were merged. Each annotated gene was subsequently searched for peaks appearing in a specified promoter region around the transcription start site. The region searched was design-specific, spanning from 5 kb upstream to 1 kb downstream of the transcription start site. Genes that had at least two probes with peaks above the p-value minimum cut-off were considered to have significant CpG island methylation scores for hypermethylation.