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Identification of the epithelial receptor for measles virus

GSE32155 Homo sapiens (human) Expression microarray 21 samples Submitted 2011/11/02 Platform GPL6480
At a glance

Expression microarray · human · 21 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
21 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Measles (MV) is an aerosol-transmitted virus that affects more than 10 million children each year and accounts for approximately 120,000 deaths. While it was long believed to replicate in the respiratory epithelium before disseminating, it was recently shown to initially infect macrophages and dendritic cells of the airways using the signaling lymphocytic activation molecule (SLAM, CD150) as receptor.
Read the full summary ↓
These cells then cross the respiratory epithelium and ferry the infection to lymphatic organs where MV replicates vigorously. How and where the virus crosses back into the airways has remained unknown. However, certain carcinoma cell lines have been described to be either permissive for wt MV infection, or not (Leonard VHJ et al. 2008). Therefor, we decided to compare the expression pattern of permissive and non-permissive cell lines by micro array analysis. Based on functional analyses of surface proteins preferentially expressed on virus-permissive epithelial cell lines, we identified nectin-4 (poliovirus-receptor-like-4) as a candidate receptor.
This dataset
Open GSE32155 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 (GSE32155_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 PRJNA147629. Searching any of these in the dataset finder brings you back here.

NCBI GEO page ↗ Paper (PMID 22048310) ↗
Samples in this study

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