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Frequent driver mutations in histone H3.3 and chromatin remodeling genes in paediatric glioblastoma

GSE34824 Homo sapiens (human) Expression microarray 27 samples Submitted 2012/03/01 Platform GPL570
At a glance

Expression microarray · human · 27 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Topic
GlioblastomaThis series is part of our curated briefing on it.
Samples
27 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Whole exome sequencing identified frequent driver mutations in a series of paediatric glioblastomas We used microarray-based profiling to investigate differences in gene expression according to mutational status of driver genes
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 (GSE34824_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: For arrays the series matrix is normally the normalised expression table you want; the raw array files (CEL and similar) are in the RAW.tar.

Also filed as BioProject PRJNA150243. Searching any of these in the dataset finder brings you back here.

Study design
A cohort of 27 individual samples

The grouping that defines any comparison lives in the sample characteristics, which GEO records separately from the titles.

How we read this: Sample titles run Pediatric_GBM_11 … Pediatric_GBM_9 and carry no group information.

Samples in this study
More Glioblastoma datasets

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