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Gene expression analysis of Chronic rhinosinusitis

GSE36830 Homo sapiens (human) Expression microarray 24 samples Submitted 2012/03/28 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)
Samples
24 samples: 6 × Control UT vs 6 × CRSsNP UT vs 6 × CRSwNP UT vs 6 × CRSwNP polypGroups 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.
Summary (written by the submitters)
Chronic rhinosinusitis (CRS) is a heterogeneous disease characterized by local inflammation of the upper airways which persists for at least 12 weeks. CRS is one of the most common chronic diseases in adults in the United States, affecting over 30 million Americans. CRS is frequently divided into 2 types: CRS with nasal polyps (CRSwNP) and CRS without nasal polyps (CRSsNP).
Read the full summary ↓
Histologic studies have demonstrated significant tissue eosinophilia in CRSwNP. T cells in the mucosa are elevated in both forms of CRS and are skewed towards Th2 cytokine expression in CRSwNP. However pathogenic role of CRS has not been fully explored. To screen for pathogenic factors in CRS, we performed a microarray study. We collected uncinate tissues (UT) from 6 subjects with CRSsNP, 6 subjects with CRSwNP and 6 control subjects and nasal polyp (NP) tissues from 6 subjects with CRSwNP and then evaluated gene expression profiles using Affymetrix Human Genome U133 plus 2.0 array.
This dataset
Open GSE36830 in finder → Find more human microarray 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 (GSE36830_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 PRJNA156983. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 26067893) ↗
Study design
6 × Control UT vs 6 × CRSsNP UT vs 6 × CRSwNP UT vs 6 × CRSwNP polyp

Supports a between-group comparison across 24 samples.

How we read this: 4 replicated groups read from 24 sample titles; they account for 24 of them. 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

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