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<biogps><data><item key="owner">ArrayExpress Uploader</item><item key="pop_total">0</item><item key="id">7188</item><item key="factors"><item><item key="GSM1088378"><item key="GENOTYPE">WT</item><item key="TREATMENT">48h after PMSG</item></item></item><item><item key="GSM1088378"><item key="GENOTYPE">WT</item><item key="TREATMENT">48h after PMSG</item></item></item><item><item key="GSM1088378"><item key="GENOTYPE">WT</item><item key="TREATMENT">48h after PMSG</item></item></item><item><item key="GSM108838"><item key="GENOTYPE">bERKO</item><item key="TREATMENT">48h after PMSG</item></item></item><item><item key="GSM108838"><item key="GENOTYPE">bERKO</item><item key="TREATMENT">48h after PMSG</item></item></item><item><item key="GSM108838"><item key="GENOTYPE">bERKO</item><item key="TREATMENT">48h after PMSG</item></item></item><item><item key="GSM1088384"><item key="GENOTYPE">WT</item><item key="TREATMENT">48h after PMSG + 4 h after hCG</item></item></item><item><item key="GSM1088384"><item key="GENOTYPE">WT</item><item key="TREATMENT">48h after PMSG + 4 h after hCG</item></item></item><item><item key="GSM1088384"><item key="GENOTYPE">WT</item><item key="TREATMENT">48h after PMSG + 4 h after hCG</item></item></item><item><item key="GSM1088387"><item key="GENOTYPE">bERKO</item><item key="TREATMENT">48h after PMSG + 4 h after hCG</item></item></item><item><item key="GSM1088387"><item key="GENOTYPE">bERKO</item><item key="TREATMENT">48h after PMSG + 4 h after hCG</item></item></item><item><item key="GSM1088387"><item key="GENOTYPE">bERKO</item><item key="TREATMENT">48h after PMSG + 4 h after hCG</item></item></item></item><item key="ownerprofile_id">arrayexpress_sid</item><item key="platform">6</item><item key="summary_wrapped">Determining the spatial and temporal expression of genes involved in the ovulatory pathway is critical for the understanding of the role...</item><item key="pubmed_id">23580569</item><item key="geo_gse_id">E-GEOD-44651</item><item key="owner_profile">/profile/8773/arrayexpressuploader</item><item key="factor_count">2</item><item key="sample_count">12</item><item key="tags"><item>cell</item><item>estrogen</item><item>gonadotropin</item></item><item key="lastmodified">Dec.12, 2014</item><item key="is_default">False</item><item key="geo_gds_id"/><item key="slug">laser-capture-microdissection-isolation-of-preovul</item><item key="geo_id_plat">E-GEOD-44651_A-AFFY-45</item><item key="name">Laser Capture Microdissection isolation of preovulatory granulosa cells from WT and bERKO ovaries</item><item key="created">Nov.12, 2014</item><item key="summary">Determining the spatial and temporal expression of genes involved in the ovulatory pathway is critical for the understanding of the role of each estrogen receptor in the modulation of folliculogenesis and ovulation. Estrogen receptor (ER) &#946; is highly expressed in ovarian granulosa cells and mice lacking ER&#946; (&#946;ERKO) are subfertile due to inefficient ovulation.  Previous work has focused on isolated granulosa cells or cultured follicles and while informative, provides confounding results due to the heterogeneous cell types present including granulosa, theca and oocytes and exposure to in vitro conditions.  Herein, we isolated preovulatory granulosa cells from WT and ER&#946;-null mice using laser capture microdissection to examine the genomic transcriptional response downstream of PMSG (mimicking FSH) and PMSG/hCG (mimicking LH) stimulation.  This allows for a direct comparison of in vivo granulosa cells at the same stage of development from both WT and ER&#946;-null ovaries. ER&#946;-null granulosa cells showed altered expression of genes known to be regulated by FSH (Akap12 and Runx2) as well as not previously reported (Arnt2 and Pou5f1) in WT granulosa cells. Our analysis also identified 304 genes not previously associated with ER&#946; in granulosa cells.  LH responsive genes including Abcb1b and Fam110c show reduced expression in ER&#946;-null granulosa cells; however novel genes including Rassf2 and Megf10 were also identified as being downstream of LH signaling in granulosa cells.  Collectively, our data suggests that granulosa cells from ER&#946;-null ovaries may not be appropriately differentiated and are unable to respond properly to gonadotropin stimulation We used microarray to compare the gene expression profiles of wiltype (WT) and Erb-null (bERKO) preovulatory granulosa cells as they respond to either PMSG or PMSG+hCG treatments. Laser microdissection was used to collect a purified population of granulosa cells only from preovulatory follicles. We chose to compre the response to PMSG or PMSG+hCG of granulosa cells collected from either WT and bERKO preovulatory follicles. We chose to collect cells 48h after mice were treated with PMSG to compare the gene expression profile ot preovulatory granulosa cells. We also studied the response of these cells to LH (or hCG) as we collected cells 4h after mice were treated with hCG (peak of transcriptional response to hCG).</item><item key="source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-44651</item><item key="species">mouse</item><item key="sample_source">http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-44651/samples/</item></data></biogps>
