Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Methylation analysis of normal lymphocytes, HCT116, RKO and SW480

ABSTRACT: Methylation analysis of normal lymphocytes, HCT116, RKO and SW480 In vitro methylated DNA (IVD) generated from normal lymphocytes, HCT116, RKO and SW480 genomic DNA was subjected to sodium bisulfite treatment and the DNA was analyzed for CpG methylation using the Infinium Methylation Array.

ORGANISM(S): Homo sapiens

SUBMITTER: hari easwaran

PROVIDER: E-GEOD-50511 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Publications

Aberrant silencing of cancer-related genes by CpG hypermethylation occurs independently of their spatial organization in the nucleus.

Easwaran Hariharan P HP Van Neste Leander L Cope Leslie L Sen Subhojit S Mohammad Helai P HP Pageau Gayle J GJ Lawrence Jeanne B JB Herman James G JG Schuebel Kornel E KE Baylin Stephen B SB

Cancer research 20100824 20

Aberrant promoter DNA-hypermethylation and repressive chromatin constitutes a frequent mechanism of gene inactivation in cancer. There is great interest in dissecting the mechanisms underlying this abnormal silencing. Studies have shown changes in the nuclear organization of chromatin in tumor cells as well as the association of aberrant methylation with long-range silencing of neighboring genes. Furthermore, certain tumors show a high incidence of promoter methylation termed as the CpG island m ...[more]

PMID: 20736368

Similar Datasets

Project description:Differentially methylated oral squamous cell carcinoma (OSCC) biomarkers, identified in-vitro and validated in well-characterized surgical specimens, have shown poor clinical correlation in cohorts with different risk profiles. To overcome this lack of relevance we used the HumanMethylation27 BeadChip, publicly available methylation and expression array data, and Quantitative Methylation Specific PCR to uncover differential methylation in OSCC clinical samples with heterogeneous risk profiles. A two stage-design consisting of Discovery and Prevalence screens was used to identify differential promoter methylation and deregulated pathways in patients diagnosed with OSCC and head and neck squamous cell carcinoma. Promoter methylation of KIF1A (k=0.64), HOXA9 (k=0.60), NID2 (k=0.60), and EDNRB (k=0.60) had a moderate to substantial agreement with clinical diagnosis in the Discovery screen. HOXA9 had 68% sensitivity, 100% specificity and a 0.81 AUC. NID2 had 71% sensitivity, 100% specificity and a 0.79 AUC. In the Prevalence screen HOXA9 (k=0.82) and NID2 (k=0.80) had an almost perfect agreement with histologic diagnosis. HOXA9 had 85% sensitivity, 97% specificity and a 0.95 AUC. NID2 had 87% sensitivity, 95% specificity and a 0.91 AUC. A HOXA9 and NID2 gene panel had 94% sensitivity, 97% specificity and a 0.97 AUC. In saliva from OSCC cases and controls HOXA9 had 75% sensitivity, 53% specificity and a 0.75 AUC. NID2 had 87% sensitivity, 21% specificity and a 0.73 AUC. This Phase I Biomarker Development Trial identified a panel of differentially methylated genes in normal and OSCC clinical samples from patients with heterogeneous risk profiles. This panel may be useful for early detection and cancer prevention studies. The 12 samples analyzed comprise equal numbers of three tissue-types: Primary oral squamous cell carcinoma, Oral leukoplakia and Normal oral mucosa. Gender, age and smoking-status were approximately equally represented in these goups. Normal oral mucosa served as a control.

Project description:An integrative functional genomics of multiple forms of data is vital for discovering molecular drivers of cancer development and progression. Here, we present an integrated genomic strategy utilizing DNA methylation and transcriptome profile data to discover epigenetically regulated genes implicated in cancer development and invasive progression. More specifically, this analysis identified Fibromodulin (FMOD) as a glioblastoma (GBM) upregulated gene due to the loss of promoter methylation. Secreted FMOD promotes glioma cell migration through its ability to induce filamentous actin stress fiber formation. Treatment with Cytochalasin D, an actin polymerization inhibitor, significantly reduced the FMOD induced glioma cell migration. siRNA and small molecule inhibitor-based studies identified that FMOD-induced glioma cell migration is dependent on Integrin-FAK-Src-Rho-ROCK signaling pathway. FMOD lacking C terminus LRR11 domain (FMOD), which does not bind collagen type I, failed to induce integrin and promote glioma cell migration. Further, FMOD-induced integrin activation and migration was abrogated by a 9-mer wild type peptide from the FMOD C-terminus. However, the same peptide with mutation in two residues essential for FMOD interaction with collagen type I failed to compete with FMOD, thus signifying the importance of collagen type I-FMOD interaction in integrin activation. ChIP-PCR experiments revealed that TGF-Ã1 regulates FMOD expression through epigenetic remodeling of FMOD promoter that involved demethylation and gain of active histone marks with a simultaneous loss of DNMT3A and EZH2 occupancy, but enrichment of SMAD2 and CBP. FMOD silencing inhibited the TGF-Ã1 mediated glioma cell migration significantly. In univariate and multivariate cox regression analysis, both FMOD promoter methylation and transcript levels predicted prognosis in GBM. Thus, the present study identified several epigenetically regulated alterations responsible for cancer development and progression. Specifically, we found that secreted FMOD as an important regulator of glioma cell migration downstream of TGF-Ã1 pathway and forms a potential basis for therapeutic intervention in GBM. We used DNA isolated from 17 diffuse astrocytoma, 16 anaplastic astrocytoma, 36 glioblastoma and 9 control brain tissue for the array. P53 status: All cases were subjected to histopathology and the diagnosis of GBM was confirmed. Paraffin sections (4 Î¼m) from the tissues were collected on silane-coated slides, and the protein expression of p53 was assessed by immunohistochemistry (IHC). Antigen retrieval was done by heat treatment at 850W in citrate buffer or at 700W. After the initial processing steps, sections were incubated overnight with primary antibody for p53 (Mouse Monoclonal DO-7; Biogenex, USA)at 4Â°C with 1: 200 dilution. MIB: Paraffin blocks of all the cases were retrieved, and histological features were reviewed on freshly cut and stained (hematoxylin and eosin) sections. After confirming the diagnosis of glioblastoma, 4 Âµm thick sections were collected on silane-coated slides, and IHC was performed using MIB-1 (anti Ki-67 monoclonal BGX 297, diluted to 1:30) EGFR status: Paraffin blocks of all the cases were retrieved, and histological features were reviewed on freshly cut and stained (hematoxylin and eosin) sections. After confirming the diagnosis of glioblastoma, 4 Âµm thick sections were collected on silane-coated slides, and IHC was performed using EGFR (monoclonal E-30, diluted to 1:50) GFAP status: Paraffin blocks of all the cases were retrieved, and histological features were reviewed on freshly cut and stained (hematoxylin and eosin) sections. After confirming the diagnosis of glioblastoma, 4 Âµm thick sections were collected on silane-coated slides, and IHC was performed using glial fibrillary acidic protein (GFAP, monoclonal GA-5, diluted to 1:100).

Dataset Information

Methylation analysis of normal lymphocytes, HCT116, RKO and SW480

Publications

Aberrant silencing of cancer-related genes by CpG hypermethylation occurs independently of their spatial organization in the nucleus.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure