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Epigenetic and transcriptional characterisation of CMV driven diversification of NK cells

GSE66564 Homo sapiens (human) DNA methylation 38 samples Submitted 2015/03/06 Platform GPL17586Platform GPL13534
At a glance

DNA methylation · human · 38 samples

What it is
DNA methylationChemical marks on DNA that help switch genes on or off.
Organism
Homo sapiens (human)
Samples
38 samples: 28 distinct titles, 4 of them repeatedGroups are read from the sample names, not from the paper. Check the list below.
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
SuperSeries — this record groups several sub-series.
Summary (written by the submitters)
This SuperSeries is composed of the SubSeries listed below.
This dataset
Open GSE66564 in finder → Find more human methylation datasets →
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.

Series matrix ↓
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 (GSE66564_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

Whole study · RAW.tar ↓

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

Also filed as BioProject PRJNA277340. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25786176) ↗
Study design
28 distinct titles, 4 of them repeated
CD3-CD56dimCD57brightNKG2A-NKG2C-, ×4 CD3-CD56dimCD57-NKG2A+, ×4 CD3-CD56dimCD57-NKG2A-NKG2C-, ×3 CD3-CD56dimCD57brightNKG2A-NKG2C+, ×3

How we read this: Read from 38 sample titles: 28 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
Datasets on a similar topic

Search all human methylation datasets in GEO →

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