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ABSTRACT:
PROVIDER: PRJNA178318 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:longitudinal expression profiling in whole blood of multiple sclerosis patients and controls [MS vs Ctrl Discovery dataset]
| PRJNA178317 | ENA
Project description:Multiple sclerosis is the most common autoimmune disease of the central nervous system. Studying whole blood RNA from a cohort of 195 MS patients and 66 healthy controls, we identified gene expression signatures for interferon treatment and disease status by microarray analysis. Blood was collected at multiple time points (up to 3 for patients, 2 for controls). Patients were either untreated or treated with Interferon. In total, 626 Affymetrix exon arrays were analyzed, split into discovery and replication data sets. This metadata file contains information on all samples processed in the replication data set (n=102) when we compared gene expression in untreated MS patients (n=27) to healthy controls (n=25). The following comparisons were made: untreated MS vs Controls (discovery and replication), untreated vs Interferon treated MS (discovery and replication). For each comparison, respective arrays were processed (background corrected and normalized) together, but seperate from other comparisons. The two time points for controls were averaged. For the first comparison, we report differentially expressed genes at an FDR cutoff of 0.1 at any of the three tested time points in MS patients in the discovery data set. For the second comparison, the FDR cutoff was 0.001. The respective genes were validated in the replication data set when they passed a nominal p-value cutoff of 0.05 at any of the three tested time points.
2013-06-17 | E-GEOD-41849 | biostudies-arrayexpress
Project description:Multiple sclerosis is the most common autoimmune disease of the central nervous system. Studying whole blood RNA from a cohort of 195 MS patients and 66 healthy controls, we identified gene expression signatures for interferon treatment and disease status by microarray analysis. Blood was collected at multiple time points (up to 3 for patients, 2 for controls). Patients were either untreated or treated with Interferon. In total, 626 Affymetrix exon arrays were analyzed, split into discovery and replication data sets. This metadata file contains information on all samples processed in the replication data set (n=183) when we compared gene expression in untreated MS patients (n=27) to IFN treated patients (n=48). The following comparisons were made: untreated MS vs Controls (discovery and replication), untreated vs Interferon treated MS (discovery and replication). For each comparison, respective arrays were processed (background corrected and normalized) together, but seperate from other comparisons. The two time points for controls were averaged. For the first comparison, we report differentially expressed genes at an FDR cutoff of 0.1 at any of the three tested time points in MS patients in the discovery data set. For the second comparison, the FDR cutoff was 0.001. The respective genes were validated in the replication data set when they passed a nominal p-value cutoff of 0.05 at any of the three tested time points.
2013-06-17 | E-GEOD-41847 | biostudies-arrayexpress
Project description:Multiple sclerosis is the most common autoimmune disease of the central nervous system. Studying whole blood RNA from a cohort of 195 MS patients and 66 healthy controls, we identified gene expression signatures for interferon treatment and disease status by microarray analysis. Blood was collected at multiple time points (up to 3 for patients, 2 for controls). Patients were either untreated or treated with Interferon. In total, 626 Affymetrix exon arrays were analyzed, split into discovery and replication data sets. This metadata file contains information on all samples processed in the discovery data set (n=212) when we compared gene expression in untreated MS patients (n=62) to healthy controls (n=41). The following comparisons were made: untreated MS vs Controls (discovery and replication), untreated vs Interferon treated MS (discovery and replication). For each comparison, respective arrays were processed (background corrected and normalized) together, but seperate from other comparisons. The two time points for controls were averaged. For the first comparison, we report differentially expressed genes at an FDR cutoff of 0.1 at any of the three tested time points in MS patients in the discovery data set. For the second comparison, the FDR cutoff was 0.001. The respective genes were validated in the replication data set when they passed a nominal p-value cutoff of 0.05 at any of the three tested time points.
2013-06-17 | E-GEOD-41848 | biostudies-arrayexpress
Project description:Multiple sclerosis is the most common autoimmune disease of the central nervous system. Studying whole blood RNA from a cohort of 195 MS patients and 66 healthy controls, we identified gene expression signatures for interferon treatment and disease status by microarray analysis. Blood was collected at multiple time points (up to 3 for patients, 2 for controls). Patients were either untreated or treated with Interferon. In total, 626 Affymetrix exon arrays were analyzed, split into discovery and replication data sets. This metadata file contains information on all samples processed in the discovery data set (n=318) when we compared gene expression in untreated MS patients (n=62) to IFN treated patients (n=58). The following comparisons were made: untreated MS vs Controls (discovery and replication), untreated vs Interferon treated MS (discovery and replication). For each comparison, respective arrays were processed (background corrected and normalized) together, but seperate from other comparisons. The two time points for controls were averaged. For the first comparison, we report differentially expressed genes at an FDR cutoff of 0.1 at any of the three tested time points in MS patients in the discovery data set. For the second comparison, the FDR cutoff was 0.001. The respective genes were validated in the replication data set when they passed a nominal p-value cutoff of 0.05 at any of the three tested time points.
2013-06-17 | E-GEOD-41846 | biostudies-arrayexpress
Project description:longitudinal expression profiling in whole blood of multiple sclerosis patients and controls [IFN_discovery dataset]
| PRJNA178315 | ENA
Project description:longitudinal expression profiling in whole blood of multiple sclerosis patients and controls [IFN_replication dataset]
| PRJNA178316 | ENA
Project description:Multiple sclerosis is the most common autoimmune disease of the central nervous system. Studying whole blood RNA from a cohort of 195 MS patients and 66 healthy controls, we identified gene expression signatures for interferon treatment and disease status by microarray analysis. Blood was collected at multiple time points (up to 3 for patients, 2 for controls). Patients were either untreated or treated with Interferon. In total, 626 Affymetrix exon arrays were analyzed, split into discovery and replication data sets. This metadata file contains information on all samples processed in the replication data set (n=102) when we compared gene expression in untreated MS patients (n=27) to healthy controls (n=25).
2013-06-17 | GSE41849 | GEO
Project description:Multiple sclerosis is the most common autoimmune disease of the central nervous system. Studying whole blood RNA from a cohort of 195 MS patients and 66 healthy controls, we identified gene expression signatures for interferon treatment and disease status by microarray analysis. Blood was collected at multiple time points (up to 3 for patients, 2 for controls). Patients were either untreated or treated with Interferon. In total, 626 Affymetrix exon arrays were analyzed, split into discovery and replication data sets. This metadata file contains information on all samples processed in the replication data set (n=183) when we compared gene expression in untreated MS patients (n=27) to IFN treated patients (n=48).
2013-06-17 | GSE41847 | GEO
Project description:Objective: To evaluate gene expression profiles in multiple sclerosis (MS) patients who improved their fatigue status after a program of physical exercise and to compare them with healthy controls (HC). Methods: A prospective longitudinal study was conducted. Gene expression in whole blood was profiled at baseline in 7 healthy controls and also in 7 fatigued-MS patients. Patients underwent a physical exercise program for 6 months, and their fatigue status and gene expression profiles were again analyzed at the end of this program. Results: MS patients showed a significant activation of genes participating in the systemic interferon response in comparison with healthy controls. Fatigue improved at the end of the physical activity program, and, in parallel, systemic activation of interferon related genes disappeared. Conclusions: Fatigue improvement following an exercise program is associated to down modulation of interferon activity at the systemic level in MS patients. Our results provide a biological basis for the observed benefit of physical exercise in MS.
2015-09-27 | E-MTAB-2973 | biostudies-arrayexpress