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E-GEOD-42626 - Methylation profiling categorizes HIV-associated lymphomas in two distinctive groups

Status
Released on 30 January 2014, last updated on 2 June 2014
Organism
Homo sapiens
Samples (42)
Array (1)
Protocols (5)
Description
HIV-positive patients have a higher risk of non-Hodgkin's lymphoma with poor prognostic features. To characterize features of HIV-associated lymphoma, we compared the DNA methylation profiles of 803 cancer-related genes in between 9 HIV-associated and 12 non-HIV lymphoma samples by Illumina GoldenGate Methylation Cancer Panel I microarray. Bisulfite-converted DNA from the 42 samples (duplicate analysis of 21 samples) were analyzed to obtain the methylation profiles of cancer-associated genes by using Illumina GoldenGate Methylation Cancer Panel I microarray.
Experiment type
methylation profiling by array 
Contacts
Akihiro Matsunaga, Makoto Motizuki, Mari Shimura, Maria Yamazaki, Noriko Tanaka, Shotaro Hagiwara, Tsunekazu Hishima, Yukihito Ishizaka
Citation
DNA methylation profiling can classify HIV-associated lymphomas. Matsunaga A, Hishima T, Tanaka N, Yamasaki M, Yoshida L, Mochizuki M, Tanuma J, Oka S, Ishizaka Y, Shimura M, Hagiwara S. , PMID:24335480
MIAME
PlatformsProtocolsVariablesProcessedRaw
Files
Investigation descriptionE-GEOD-42626.idf.txt
Sample and data relationshipE-GEOD-42626.sdrf.txt
Processed data (1)E-GEOD-42626.processed.1.zip
Additional data (1)E-GEOD-42626.additional.1.zip
Array designA-GEOD-9183.adf.txt
Links