[{"slug": "transcription-profiling-of-human-a549-lung-adenoca", "factor_count": 0, "sample_count": 26, "tags": ["adenocarcinoma", "cancer", "cell", "line", "lung", "lung adenocarcinoma"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-17708", "id": 3392, "name": "Transcription profiling of human A549 lung adenocarcinoma cell line time Course of TGF-beta treatment"}, {"slug": "transcription-profiling-of-human-a549-lung-cance-2", "factor_count": 2, "sample_count": 12, "tags": ["cancer", "lung", "lung cancer"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-6400", "id": 4837, "name": "Transcription profiling of human A549 lung cancer cells treated with actinomycin D and sapphyrin PCI-2050 a new class of tumor-selective inhibitors of gene expression."}, {"slug": "transcription-profiling-of-human-bronchial-epithel", "factor_count": 0, "sample_count": 12, "tags": ["acute respiratory distress syndrome", "collagen", "lipopolysaccharide", "lung", "protein", "syndrome", "type i collagen", "volume"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-16650", "id": 3321, "name": "Transcription profiling of human bronchial epithelial cells exposed to cyclic stretch with and without LPS or TNFa"}, {"slug": "transcription-profiling-of-human-cohort-of-lymph-n", "factor_count": 1, "sample_count": 23, "tags": ["breast", "breast cancer", "cancer", "lung", "lung metastasis", "lymph", "lymph node", "organ"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-11078", "id": 2841, "name": "Transcription profiling of human cohort of lymph node-negative breast cancer patients identifies a six-gene signature predicting breast cancer lung metastasis"}, {"slug": "transcription-profiling-of-human-developing-lung", "factor_count": 1, "sample_count": 38, "tags": ["genome", "lung", "median"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-14334", "id": 3133, "name": "Transcription profiling of human developing lung"}, {"slug": "transcription-profiling-of-human-h1299-non-small-c", "factor_count": 0, "sample_count": 60, "tags": ["basal", "cancer", "cell", "hormone", "lung", "lung cancer", "protein"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-11729", "id": 2886, "name": "Transcription profiling of human H1299 non-small-cell lung cancer cells (parental H1299, H1299 cells which overexpress wild-type: EGFR-WT and mutant EGFR: L858R) after EGF and Iressa stimulation"}, {"slug": "transcription-profiling-of-human-immature-monocyte", "factor_count": 1, "sample_count": 4, "tags": ["cell", "cytokine", "dendritic", "line", "lung", "monocyte", "protein"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-10463", "id": 2743, "name": "Transcription profiling of human immature monocyte-derived dendritic cells activated with anti-CD40 antibodies for 8 hours in the absence or presence of VAF347"}, {"slug": "transcription-profiling-of-human-non-small-cell-lu", "factor_count": 0, "sample_count": 58, "tags": ["adenocarcinoma", "cancer", "carcinoma", "cell", "lung", "lung cancer", "nsclc", "squamous", "squamous cell", "squamous cell carcinoma"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-10245", "id": 2773, "name": "Transcription profiling of human non-small cell lung cancer adenocarcinoma and squamous cell carcinoma subtypes"}, {"slug": "transcription-profiling-of-human-oocytes", "factor_count": 1, "sample_count": 6, "tags": ["brain", "breast", "cell", "chromatin", "colon", "genome", "heart", "infertility", "kidney", "liver", "lung", "muscle", "oocyte", "ovary", "protein", "spleen", "stomach", "uterus"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-12034", "id": 2911, "name": "Transcription profiling of human oocytes"}, {"slug": "transcription-profiling-of-human-stage-ib-lung-ade", "factor_count": 0, "sample_count": 72, "tags": ["adenocarcinomas", "cell", "lung"], "species": "human", "is_default": false, "geo_gse_id": "E-GEOD-10445", "id": 2783, "name": "Transcription profiling of human stage IB lung adenocarcinomas and large cell carcinomas to predict outcomes (Merlion lung cancer study)"}]