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<biogps><data><item key="owner">ArrayExpress Uploader</item><item key="ownerprofile_id">arrayexpress_sid</item><item key="species">mouse</item><item key="factors"><item><item key="GSM501474"><item key="VARIATION">p27delta51</item></item></item><item><item key="GSM501475"><item key="VARIATION">wild type</item></item></item></item><item key="id">5965</item><item key="pop_total">0</item><item key="platform">6</item><item key="summary_wrapped">Low levels of the cell cycle regulator p27Kip1 are associated with a worse outcome in many tumor types. We report here a new regulatory...</item><item key="geo_gse_id">E-GEOD-20064</item><item key="owner_profile">/profile/8773/arrayexpressuploader</item><item key="factor_count">1</item><item key="sample_count">2</item><item key="tags"><item>cell</item></item><item key="lastmodified">Dec.12, 2014</item><item key="is_default">False</item><item key="geo_id_plat">E-GEOD-20064_A-AFFY-45</item><item key="slug">expression-data-from-p27delta51-mefs-cells-in-quie</item><item key="geo_gds_id"/><item key="name">Expression data from p27delta51 MEFs cells in quiescence</item><item key="created">Nov.11, 2014</item><item key="summary">Low levels of the cell cycle regulator p27Kip1 are associated with a worse outcome in many tumor types. We report here a new regulatory role of p27Kip1 as a transcriptional regulator. In association with transcriptional repressors such as p130, E2F4 and HDACs, p27 binds to promoters of multiple genes leading to their repression. The p27Kip1-target genes participate in RNA processing, translation, respiration and cell cycle. Remarkably, p27Kip1-target genes are over-expressed in different human tumors in tight association with a poor clinical prognosis. We also observed a clear correlation between low levels of p27Kip1 and over-expression of p27Kip1-target genes in tumors. Overall, our findings indicate new tumor suppressor roles of p27Kip1 as a transcriptional regulator of genes relevant for oncogenesis. Samples from MEFs p27delta51 and p27WT cells used as control were analyzed</item><item key="source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-20064</item><item key="sample_source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-20064/samples/</item></data></biogps>
