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Th1/Th17 Immune Response in Rosacea

GSE65914 Homo sapiens (human) Expression microarray 58 samples Submitted 2015/06/01 Platform GPL570
At a glance

Expression microarray · human · 58 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
58 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Rosacea is a common chronic inflammatory skin disease of unknown etiology. Our knowledge about an involvement of the adaptive immune system is very limited. We performed detailed transcriptome analysis, qRT-PCR, and quantitative immunohistochemistry on facial biopsies of rosacea patients, classified according to their clinical subtype.
Read the full summary ↓
As controls, we used samples from healthy controls. Our study shows significant activation of the immune system in all subtypes of rosacea, characterizing erythematotelangiectatic rosacea (ETR) already as a disease with significant influx of proinflammatory cells. The T cell response is dominated by Th1/Th17-polarized immune cells, as demonstrated by significant upregulation of IFNγ or IL-17, for example. Chemokine expression patterns support a Th1/Th17 polarization profile of the T cell response. Macrophages and mast cells are increased in all three subtypes of rosacea, while neutrophils reach a maximum in papulopustular rosacea. Our studies also provide evidence for activation of plasma cells with significant antibody production already in ETR, followed by a crescendo pattern towards phymatous rosacea. In sum, Th1/Th17 polarized inflammation and macrophage infiltration is an underestimated hallmark in all subtypes of rosacea. Therapies directly targeting the Th1/Th17 pathway are promising candidates in the future treatment of this skin disease.
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 (GSE65914_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 PRJNA275409. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 25848978) ↗
Samples in this study

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