{"owner": "ArrayExpress Uploader", "pop_total": 0, "species": "mouse", "factors": [{"GSE7596GSM176890": {}}, {"GSE7596GSM180510": {}}, {"GSE7596GSM180513": {}}, {"GSE7596GSM176891": {}}, {"GSE7596GSM180515": {}}, {"GSE7596GSM180516": {}}], "id": 7824, "ownerprofile_id": "arrayexpress_sid", "platform": 6, "summary_wrapped": "The CD4+Foxp3+ regulatory T cells play an essential role in maintaining tolerance via their suppressive function on conventional T cells....", "geo_gse_id": "E-GEOD-7596", "owner_profile": "/profile/8773/arrayexpressuploader", "factor_count": 0, "sample_count": 6, "tags": ["axis", "cell"], "lastmodified": "Dec.12, 2014", "is_default": false, "geo_gds_id": "", "slug": "transcription-profiling-of-mouse-t-cells-transfect", "geo_id_plat": "E-GEOD-7596_A-AFFY-45", "name": "Transcription profiling of mouse T cells transfected with constituatively actived Akt vs controls reveals AKT regulates de novo induction of Foxp3", "created": "Nov.18, 2014", "summary": "The CD4+Foxp3+ regulatory T cells play an essential role in maintaining tolerance via their suppressive function on conventional T cells.  The intracellular signaling pathways that regulate Foxp3 expression are largely unknown.  In this study we describe a novel inhibitory role for AKT in regulating de novo induction of Foxp3 both in vivo and in vitro.  A constitutively active allele of AKT significantly diminished TGF-\u00e2 induced Foxp3 induction via a rapamycin-sensitive pathway, establishing a role for the AKT-mTOR axis in Treg cells. Moreover, the observed impairment in Foxp3 induction was paralleled by a selective downmodulation of the imparted Treg transcriptional signature highlighting the importance of the balance of intracellular signals in Treg differentiation .  Our results provide a basis for further elucidation of molecular mechanisms that regulate Foxp3 induction and identify AKT as an important negative regulator of this process.   Experiment Overall Design: All gene expression profiles were obtained from highly purified T cell populations sorted by flow cytometry. To reduce variability, cells from multiple mice were pooled for sorting, and three replicates were generated for all groups. RNA from 0.5-2.5 x 105 cells was amplified, labeled, and hybridized to Affymetrix M430v2 microarrays. Raw data were preprocessed with the RMA algorithm in GenePattern, and averaged expression values were used for analysis.", "source": "http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-7596", "sample_source": "http://www.ebi.ac.uk/arrayexpress/experiments/E-GEOD-7596/samples/"}