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Timecourse gene expression profiling of DLBCL cell line Karpas422 after EZH2 inhibitor treatment

GSE41315 Homo sapiens (human) Expression microarray 24 samples Submitted 2012/10/04 Platform GPL570
At a glance

Expression microarray · human · 24 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Topic
Diffuse large B-cell lymphomaThis series is part of our curated briefing on it.
Samples
24 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Ezh2 protein is the enzymatic component of the Polycomb Repressive Complex (PRC)-2, which represses its target genes by methylating lysine 27 of histone H3 (H3K27) and regulates cell proliferation and differentiation during embryonic development. Recently, hot-spot mutations of Ezh2 have been identified in diffused large B cell lymphomas (DLBCLs) and follicular lymphomas (FLs).
Read the full summary ↓
To investigate if tumor growth is dependent on the enzymatic activity of Ezh2, we have developed a potent and selective small molecule inhibitor, EI1, which inhibits the enzymatic activity of Ezh2 through direct binding and competing with the methyl group donor S-Adenosyl methionine (SAM). EI1-treated cells exhibit genome-wide loss of H3K27 methylation. Furthermore, inhibition of Ezh2 by EI1 in DLBCL cells carrying the Y641 mutations results in decreased proliferation, cell cycle arrest and apoptosis. These results provide strong validation of Ezh2 as a potential therapeutic target for the treatment of cancer with the Ezh2 mutation. In this microarray experiment we examined the global gene expression changes in DLBCL cell line Karpas422 (Ezh2Y641N) after EI1 treatment for up to 6 days.
This dataset
Open GSE41315 in finder → Find more human microarray datasets → Diffuse large B-cell lymphoma landscape →
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 (GSE41315_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: 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 PRJNA176503. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 23236167) ↗
Samples in this study

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