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Omics score: 0

Homo sapiens

ABSTRACT: Gene array analysis of clear cell renal cell carcinoma tissue versus matched normal kidney tissue

OTHER RELATED OMICS DATASETS IN: E-GEOD-53757

PROVIDER: PRJNA232816 | ENA |

REPOSITORIES: ENA

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E-GEOD-53757

Project description:Gene array analysis of clear cell renal cell carcinoma tissue versus matched normal kidney tissue

2015-07-31 | E-GEOD-53757 | ExpressionAtlas

Epigenome analysis of clear cell renal cell carcinoma (ccRCC) tissue versus matched normal kidney tissue

Project description:Genome wide DNA methylation profiling of clear cell renal cell carcinoma (ccRCC) tissue versus matched normal kidney tissue. The Illumina Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximately 450,000 CpGs in tumor and adjacent normal kidney tissue samples from ccRCC patients. Samples included 46 paired fresh frozen ccRCC tumor and adjacent normal kidney tissues.

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Homo sapiens

Project description:Epigenome analysis of clear cell renal cell carcinoma (ccRCC) tissue versus matched normal kidney tissue

| PRJNA261077 | ENA

Epigenome analysis of clear cell renal cell carcinoma (ccRCC) tissue versus matched normal kidney tissue

Project description:Genome wide DNA methylation profiling of clear cell renal cell carcinoma (ccRCC) tissue versus matched normal kidney tissue. TheÂ IlluminaÂ Infinium 450k Human DNA methylation Beadchip was used to obtain DNA methylation profiles across approximatelyÂ 450,000 CpGs in tumor and adjacent normal kidney tissue samples from ccRCC patients. Samples included 46 paired fresh frozen ccRCC tumor and adjacent normal kidney tissues. Bisulphite converted DNA from the 92 samples were hybridised to the Illumina Infinium 450 Human Methylation Beadchip v1.2

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Loss of 5-hydroxymethylcytosine is linked to gene body hypermethylation in kidney cancer

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Discrimination of tumor and normal tissues in renal cell carcinoma

Project description:Uncovering a protein abundance-based gene panel specific to clear cell Renal Cell Carcinoma (ccRCC) could provide support for the everyday clinical decision-making process. We used proteomic data to differentiate between normal kidney and ccRCC tissues. By using datasets of patients with paired normal tissue samples from gene array cohorts, we uncovered the top genes over-expressed in ccRCC. We collected surgically resected ccRCC specimens at Semmelweis University to validate the strongest genes. Differential expression was evaluated at the protein level using targeted mass spectrometry (MS).

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Normal and Renal Cell Carcinoma Kidney Tissue, Human

Project description:Each total RNA sample is hybridized to two different arrays: Affymetrix U133A (GPL96) and U133B (GPL97). For most of the normal tissue samples there is a renal clear cell carcinoma sample from the same patient. There is no matching tumor sample for normal sample N1. For most of the renal clear cell carcinoma samples there is a corresponding adjacent normal tissue sample from the same patient. There are no matching normal tissue samples for C011 or C032. Keywords = kidney Keywords = renal Keywords = RCC Keywords = carcinoma Keywords = cancer Keywords: parallel sample

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Project description:Five matched clear cell renal cell carcinoma and normal tissues were used for microarray.

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