GEO series

Blocking IL-4Rα with dupilumab (REGN668/SAR231893) rapidly suppresses major pathomechanisms in the skin of severe atopic dermatitis patients

GSE59294 Homo sapiens (human) Expression microarray 40 samples Submitted 2014/12/04 Platform GPL570

At a glance

Expression microarray · human · 40 samples

What it is: Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism: Homo sapiens (human)
Samples: 40 samples
Data you can get: A processed expression table (series matrix) and the array files, from NCBI.

Summary (written by the submitters)

Atopic dermatitis (AD) is the most common inflammatory skin disease, with high unmet need for new therapies that are safe for chronic use. Emerging data suggest that TH2-cytokines play important roles in a variety of allergic and atopic conditions, including asthma and AD. In early phase clinical trials, dupilumab (a fully human monoclonal antibody against IL-4Rα that potently blocks IL-4 and IL-13 signaling) rapidly and markedly improved clinical measures in adults with either asthma (with elevated eosinophil counts) or moderate-to-severe AD.

Read the full summary ↓

The pathomechanisms that may be impacted by IL-4/13 blockade in these disease settings have not yet been characterized in detail. Transcriptome analyses in pre- and post-treatment skin biopsies from patients with moderate-to-severe AD treated with dupilumab or placebo in two completed clinical trials

This dataset

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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 (GSE59294_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 PRJNA254978. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25482871) ↗

Samples in this study

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+ 40 more — browse all 40 samples with per-sample file links →

Datasets on a similar topic

GSE282860 The IL-33 and IL-4Rα blocking antibodies, itepekimab and dupilumab, modulate distinct and common inflammatory mediators in asthma - human mast cell and eosinophil data 63 samples shares il-4r, dupilumab, blocking
GSE282952 Distinct endothelial pathomechanisms drive arterio-venous malformation in Alk1 or Smad4 loss-of-function conditions 45 samples shares pathomechanisms

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