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In vitro response of fibroblasts isolated from patients with immunodeficiencies

GSE12124 Homo sapiens (human) Expression microarray 72 samples Submitted 2009/07/15 Platform GPL6106
At a glance

Expression microarray · human · 72 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Homo sapiens (human)
Samples
72 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Children with autosomal recessive deficiency suffer from life-threatening, often recurrent viral or bacterial infections. We have profiled transcriptional responses of fibroblast cell lines derived from patients deficient for key regulators of immune responses such as MYD88, IRAK4, UNC93B, STAT1 or NEMO. This systems immunology approach revealed distinct patterns or responsiveness to stimuli activating the Toll-like/IL1 Receptor pathway in either an MYD88-dependent (IL1B) or independent (poly(I:C)) fashion, or activating the TNF pathway.
Read the full summary ↓
The prototypic signatures in cell lines derived from patients were as follows: NEMO-deficient cells were unresponsive to all three stimuli, UNC-93B-deficient cells did not respond to poly(I:C), and STAT1-deficient cells responded only weakly to poly(I:C) after eight hours (not shown). MyD88- and IRAK-4-deficient cells had indistinguishable phenotypes, both being unresponsive to IL-1B at both time points. The signatures obtained in response to TNF and poly(I:C) (via TLR3) in these cells were similar to that of control fibroblasts.
This dataset
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.

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 (GSE12124_RAW.tar), including the raw array or instrument files. Can be large; the picker in step 2 takes just the samples you need.

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 PRJNA113783. Searching any of these in the dataset finder brings you back here.

Samples in this study

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