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Gene Microarray analysis of Th17 cells

GSE9316 Mus musculus (mouse) Expression microarray 12 samples Submitted 2007/10/17 Platform GPL1261
At a glance

Expression microarray · mouse · 12 samples

What it is
Expression microarrayGene activity read on a chip (the older technology that RNA-seq replaced).
Organism
Mus musculus (mouse)
Samples
12 samples
Data you can get
A processed expression table (series matrix) and the array files, from NCBI.
Summary (written by the submitters)
Th17 cells are enriched by sorting FR4-CD4+ T cells from SKG mice. A large number of Th17 cells also develop spontaneously when CD4+ T cells from IFN-g-deficient (IFN-g-/-) BALB/c mice are transferred to T cell-deficient RAG2-deficient (RAG2-/-) mice and subjected to homeostatic proliferation, whereas they fail to develop in similar transfer of IL-6-deficient (IL-6-/-) CD4+ T cells to IL-6-/- RAG2-/- mice.
Read the full summary ↓
To explore the functional molecules specifically expressed by Th17 cells, we conducted Gene Microarray analysis between 10-month-old SKG FR4-CD4+ cells and age-matched BALB/c FR4-CD4+ cells, and between IFN-g-/- CD4+ cells transferred to RAG2-/- mice and IL-6-/- CD4+ T cells transferred to IL-6-/- RAG2-/- mice. The analysis revealed that 1,556 and 115 genes were up-regulated in 10-month-old SKG FR4-CD4+ and IFN-g-/- CD4+ T cells after homeostatic proliferation, respectively, with 29 genes shared by the two groups of genes. The 29 genes included those encoding cytokines, chemokines, and their receptors, such as IL-1 receptor type1 (IL-1R1), IL-17, IL-22, IL-21, CCR6, and CCL20. Keywords: cell type comparison
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 (GSE9316_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 PRJNA102977. Searching any of these in the dataset finder brings you back here.

Samples in this study

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+ 12 more — browse all 12 samples with per-sample file links →

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