E-GEOD-21138
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PRJNA126655
PROVIDER: E-GEOD-21138 | ExpressionAtlas | 2015-09-15
REPOSITORIES: ExpressionAtlas
Similar Datasets
Project description:Gene Expression Profiles in BA46 of Subjects with Schizophrenia and Matched Controls
| PRJNA126655 | ENA
Project description:Gene expression in human post-mortem brain samples from schizophrenic subjects and matched controls
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Project description:Genome wide DNA methylation profiling of whole blood samples from 3 subjects affected by Werner Syndrome and 3 age- and sex- matched controls. The Infinium MethylationEPIC BeadChip was used to obtain DNA methylation profiles across approximately 850,000 CpGs.
2017-08-17 | GSE100825 | GEO
Project description:The dataset comprises of circulating miRNAs in human subjects with various types of liver impairments. In our study, we analyzed a total 48 serum samples from a group of 42 subjects that included subjects with accidental acetaminophen overdose (APAP), hepatitis B infection (HBV), liver cirrhosis (LC) and type 2 diabetes mellitus (T2DM) subjects with alanine amino transference (ALT) elevation. As a control 16 sex and age matched healthy controls from subjects with no evidence of liver disease were analyzed. The miRNA profiles were measured using next-generation sequencing platform.
2017-06-09 | GSE90028 | GEO
Project description:Subcutaneous adipose tissue gene expression profiles from women with PCOS, compared with age and BMI matched healthy controls (matched at group-level).
2014-01-03 | GSE43264 | GEO
Project description:This laboratory focuses on the molecular mechanisms of neuropsychiatric and neurodegenerative disorders Gene expression patterns from the pefrontal cortical region (Brodmann Area 46) of subjects with schizophrenia and age- and sex-match control subjects was analyzed. The prefrontal cortex was chosen since it is a primary brain region implicated in the pathophysiological of schizophrenia. Furthermore, this region was used in our previous proteomics studies, allowing for the direct comparison of changes in protein levels to gene expression results. 16 schizophrenic subjects were studied, consisting of 8 subjects with duration of illness (DOI) < 5 years and 8 subjects with DOI > 22 years. 16 age- and sex-matched controls were also studied. Gene expression profiles were analyzed from individual subjects; a total of 32 samples were hybridized to the custom designed CFG GLYCOv2 glycogene array.
2011-02-17 | E-GEOD-27356 | biostudies-arrayexpress
Project description:Identifying gene expression profiles in hypoplastic left heart syndrome and age-matched normal controls
| PRJNA130383 | ENA
Project description:Several studies have suggested that SSD is a transitory phenomena in the depression spectrum and is thus considered a subtype of depression. However, the pathophysioloy of depression remain largely obscure and studies on SSD are limited. The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug-free first-episode subjects with SSD, MDD, and healthy controls. We used microarrays to detail the global programme of gene expression to develop blood-based gene expression profiles models for classification of subsyndromal symptomatic depression and major depressive disorder The present study compared the expression profile and made the classification with the leukocytes by using whole-genome cRNA microarrays among drug-free first-episode subjects with SSD, MDD, and matched controls (8 subjects in each group). Support vector machines (SVMs) were utilized for training and testing on candidate signature expression profiles from signature selection step.
2012-03-21 | E-GEOD-32280 | biostudies-arrayexpress
Project description:Using microarray, we compared the expression of miRNAs from the peripheral blood of male subjects with T1DM and T2DM with healthy controls. Healthy male controls used were age-matched to the T2DM group patients with mean(SD) 37.3 (7.1) years. Subjects with T1DM were younger [23.3(1.6) years]. Expression was compared and validated using quantitative real-time PCR. Statistical testing (ANOVA, P-value <0.05) was performed and fold changes with respect to the control were calculated Systolic BP, fasting glucose, HbA1c, total cholesterol and LDL-cholesterol levels were significantly higher in T2DM subjects compared with controls (P-value <0.05). Compared with controls, we identified 37 differentially regulated miRNAs in DM subjects. Among them, 21 miRNAs were upregulated (2-5 fold change, p-value < 0.05) and 16 miRNAs were downregulated (1.5-2 fold change, p-value < 0.05). These miRNAs had gene putative targets primarily involved in regulating pancreatic development and functions, adipocyte differentiation, insulin signaling and glucose-dependent insulin secretion.
2011-03-05 | GSE27645 | GEO
Project description:Venous thromboembolism (VTE) is a major cause of morbidity and mortality. Pulmonary embolism is a life threatening manifestation of VTE that occurs in at least half the patients on presentation. In addition, VTE recurs in up to 30% of patients after a standard course of anticoagulation, and there is not a reliable way of predicting recurrence. We investigated whether gene expression profiles of whole blood could distinguish patients with VTE from healthy controls, single VTE from those with recurrence, and DVT alone from those with PE. 70 adults with VTE on warfarin and 63 healthy controls were studied. Patients with antiphospholipid syndrome or cancer were excluded. Blood was collected in PAXgene tubes, RNA isolated, and gene expression profiles obtained using Affymetrix arrays. We developed a 50 gene model that distinguished healthy controls from subjects with VTE with excellent receiver operating characteristics (AUC 0.94; P < 0.0001). We also discovered a separate 50 gene model that distinguished subjects with a single VTE from those with recurrent VTE with good receiver operating characteristics (AUC 0.75; P=0.008). In contrast, we were unable to distinguish subjects with DVT from those with PE using gene expression profiles. Gene expression profiles of whole blood can distinguish subjects with VTE from healthy controls and subjects with a single VTE from those with recurrence. Additional studies should be performed to validate these results and develop diagnostic tests. Gene expression profiling is likely translatable to other thrombotic disorders(e.g., patients with cancer and VTE).
2011-11-10 | GSE19151 | GEO