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<biogps><data><item key="owner">ArrayExpress Uploader</item><item key="pop_total">0</item><item key="species">human</item><item key="factors"><item><item key="GSM679909"><item key="TREATMENT">LNA inhibitor</item></item></item><item><item key="GSM679909"><item key="TREATMENT">LNA inhibitor</item></item></item><item><item key="GSM679909"><item key="TREATMENT">LNA inhibitor</item></item></item><item><item key="GSM679912"><item key="TREATMENT">scrambled LNA</item></item></item><item><item key="GSM679912"><item key="TREATMENT">scrambled LNA</item></item></item><item><item key="GSM679912"><item key="TREATMENT">scrambled LNA</item></item></item></item><item key="id">3980</item><item key="ownerprofile_id">arrayexpress_sid</item><item key="platform">4</item><item key="summary_wrapped">An Hodgkin Lymphoma cell line have been treated with an LNA inhibitor for miR-9 or with a scramble LNA to identify miR-9 regulated...</item><item key="geo_gse_id">E-GEOD-27529</item><item key="owner_profile">/profile/8773/arrayexpressuploader</item><item key="factor_count">1</item><item key="sample_count">6</item><item key="tags"><item>cell</item><item>hodgkin lymphoma</item><item>line</item><item>lymphoma</item></item><item key="lastmodified">Dec.12, 2014</item><item key="is_default">False</item><item key="geo_gds_id"/><item key="slug">inhibition-of-mir-9-regulates-hur-and-dicer1-and-b</item><item key="geo_id_plat">E-GEOD-27529_A-AFFY-44</item><item key="name">Inhibition of miR-9 regulates HuR and DICER1 and blocks Hodgkin Lymphoma tumor outgrowth</item><item key="created">Sep.15, 2014</item><item key="summary">An Hodgkin Lymphoma cell line have been treated with an LNA inhibitor for miR-9 or with a scramble LNA to identify miR-9 regulated pathways that could be important for Hodgkin Lymphoma pathogenesis. L428 cells were transfected with a miR-9 LNA inhibitor or a scrambled LNA. Total RNA was harvested 9 hours post-transfection and analyzed on Affymetrix HG-U133 Plus 2.0 human arrays. A total of six arrays were analyzed. For filtering, uninformative genes with the same expression level across all arrays (including non-expressed genes) were removed and the differentially expressed genes, their corresponding p-values and false discovery rates were calculated using limma.</item><item key="source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-27529</item><item key="sample_source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-27529/samples/</item></data></biogps>
