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Custom Illumina array DNA methylation analysis of 384 CpGs across five cancer types

GSE29505 Homo sapiens (human) DNA methylation 290 samples Submitted 2011/06/01 Platform GPL13645
At a glance

DNA methylation · human · 290 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Topic
Wilms tumourThis series is part of our curated briefing on it.
Samples
290 samples: 290 samples, each with a distinct title — no replicated groupsGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed table (series matrix) and supplementary files from NCBI.
Summary (written by the submitters)
Tumor heterogeneity is a major barrier to effective cancer diagnosis and treatment. We recently identified cancer-specific differentially DNA-methylated regions (cDMRs) in colon cancer, which also distinguish normal tissue types from each other. We therefore hypothesized that these colon cDMRs might also be cDMRs for other cancer types. For colon, lung, breast, thyroid, and Wilms tumors, we show stochastic variation in methylation within each tumor type, but involving the same loci across tumor types, with intermediate values of variation for premalignant adenomas.
This dataset
Download · which file do I need?

Direct links to NCBI, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need.

All supplementary files ↗
3 · The original raw files

Whole study · RAW.tar

Everything the authors deposited as one archive (GSE29505_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

What the files usually look like: Look for beta-value tables or raw IDAT files among the supplementary files.

Also filed as BioProject PRJNA141391. Searching any of these in the dataset finder brings you back here.

Study design
290 samples, each with a distinct title — no replicated groups

Supports a case/control comparison: 122 samples read as cases, 138 as controls.

How we read this: Read from 290 sample titles: 290 distinct titles with little repetition. These groups are guessed from the sample names, not taken from the paper, so check them against the sample list below before relying on them.

Samples in this study

+ 250 more — browse all 290 samples with per-sample file links →

More Wilms tumour datasets

Search all human methylation datasets in GEO →

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Metadata from NCBI GEO, cached and refreshed periodically — the NCBI page above is authoritative. Downloads link straight to NCBI/ENA; nothing is proxied through BioTransfer.