If you are planning to teach microarray data analysis, here is a set of experiments with simple experimental designs that, following our analysis, generated lists of genes with significant differential expression.

They might be good candidates for follow up analysis!


* http://www.ebi.ac.uk/gxa/experiment/E-GEOD-14278 — comparing T-cells from HIV-susceptible and HIV-resistant individuals.
* http://www.ebi.ac.uk/gxa/experiment/E-GEOD-11281 — comparing peripheral blood mononuclear cells treated with antigens from Staphylococcus aureus (has 3 conditions but the results look quite nice — up-regulation of immune genes in treated cells).
* http://www.ebi.ac.uk/gxa/experiment/E-GEOD-38597 — comparing liver from acute hepatitis C patients with healthy.
* http://www.ebi.ac.uk/gxa/experiment/E-GEOD-1739 — comparing blood from SARS patients with healthy.

* http://www.ebi.ac.uk/gxa/experiment/E-MEXP-2351 — comparing human SEGA (subependymal giant cell astrocytoma) brain tumors with control brain tissue.
* http://www.ebi.ac.uk/gxa/experiment/E-MEXP-3628 — comparing human osteosarcoma with their normal bone counterparts.
* http://www.ebi.ac.uk/gxa/experiment/E-MEXP-1975 — comparing mouse dermal fibroblasts treated with different doses of H2O2.

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