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<biogps><data><item key="owner">ArrayExpress Uploader</item><item key="pop_total">0</item><item key="species">mouse</item><item key="factors"><item><item key="GSM355342 1"/></item><item><item key="GSM355343 1"/></item><item><item key="GSM355344 1"/></item><item><item key="GSM355345 1"/></item><item><item key="GSM355346 1"/></item><item><item key="GSM355347 1"/></item></item><item key="id">5584</item><item key="ownerprofile_id">arrayexpress_sid</item><item key="platform">6</item><item key="summary_wrapped">Using a combination of cell sorting and microarray analysis, we identified almost 200 genes as having a high level of expression in the...</item><item key="geo_gse_id">E-GEOD-14211</item><item key="owner_profile">/profile/8773/arrayexpressuploader</item><item key="factor_count">0</item><item key="sample_count">6</item><item key="tags"><item>cell</item><item>notochord</item></item><item key="lastmodified">Dec.12, 2014</item><item key="is_default">False</item><item key="geo_gds_id"/><item key="slug">expression-profiling-of-noto-gfp-notochord-progeni</item><item key="geo_id_plat">E-GEOD-14211_A-AFFY-45</item><item key="name">Expression profiling of Noto-GFP+ notochord progenitor cells sorted from E8.5 mouse embryos</item><item key="created">Nov.10, 2014</item><item key="summary">Using a combination of cell sorting and microarray analysis, we identified almost 200 genes as having a high level of expression in the notochord. After whole mount in situ hybridization screening, we confirmed approximately one third of these as having a novel notochord expression pattern.  Keywords: cell type comparison - embryonic Noto-GFP+ notochord progenitors versus surrounding GFP- comparator cells 3 biological replicates - each replicate includes an experiment cell population (Noto-GFP positive cell sort) and a comparator population (GFP negative cell sort)</item><item key="source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-14211</item><item key="sample_source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-14211/samples/</item></data></biogps>
