Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

Human Prostate Cancer Illumina Infinium Human Methylation450 (HM450K bead array) BeadChip samples (benign vs tumor)


ABSTRACT: In order to examine the impact our probe filtering efforts might have on the analysis of real-world primary data, we analyzed clinical prostate cancer specimens. This included profiling of four prostate tumour tissue samples and four benign prostate tissues using the Illumina Infinium Human Methylation450 (HM450K bead array) BeadChip. These samples were used to explore the effects on analysis with and without a probe filtering. Four tumour samples containing Gleason 6 cancer and four benign samples from other prostate glands containing Gleason 6 cancer were selected for study. Tissue samples were cryosectioned for histopathological assessment. Genomic DNA was extracted from the homogenized samples using the Allprep Micro Kit (Qiagen, CA, USA) following manufacturer’s instructions and bisulfite converted using the Zymo EZ DNA Methylation kit (Zymo Research Corporation, CA, USA). The resulting libraries were hybridized onto the Illumina HumanMethylation450 (HM450K bead array) BeadChip. Raw intensity data was generated using an iScan microarray reader (Illumina).

ORGANISM(S): Homo sapiens

SUBMITTER: Haroon Naeem 

PROVIDER: E-GEOD-47915 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

Reducing the risk of false discovery enabling identification of biologically significant genome-wide methylation status using the HumanMethylation450 array.

Naeem Haroon H   Wong Nicholas C NC   Chatterton Zac Z   Hong Matthew K H MK   Pedersen John S JS   Corcoran Niall M NM   Hovens Christopher M CM   Macintyre Geoff G  

BMC genomics 20140122


<h4>Background</h4>The Illumina HumanMethylation450 BeadChip (HM450K) measures the DNA methylation of 485,512 CpGs in the human genome. The technology relies on hybridization of genomic fragments to probes on the chip. However, certain genomic factors may compromise the ability to measure methylation using the array such as single nucleotide polymorphisms (SNPs), small insertions and deletions (INDELs), repetitive DNA, and regions with reduced genomic complexity. Currently, there is no clear met  ...[more]

Similar Datasets

2014-12-23 | GSE47915 | GEO
2022-02-28 | PXD004495 | Pride
2010-09-26 | E-GEOD-18402 | biostudies-arrayexpress
2024-08-09 | PXD045473 | Pride
2018-01-02 | PXD008407 | Pride
2011-11-10 | E-GEOD-33557 | biostudies-arrayexpress
2012-10-19 | E-GEOD-32571 | biostudies-arrayexpress
2019-10-09 | PXD013837 | Pride
2012-10-25 | E-GEOD-30521 | biostudies-arrayexpress
2008-12-01 | E-GEOD-9972 | biostudies-arrayexpress