Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:This data release is part of the EU BLUEPRINT reference epignome project (http://www.blueprint-epigenome.eu/) and consists of genome wide gene expression, histone modifications and DNA methylation profiles from murine Naive CD4+ T-cells and Resting B cells.
Project description:<p>A growing appreciation of the importance of cellular metabolism and revelations concerning the extent of cell-cell heterogeneity demand metabolic characterization of individual cells. We present SpaceM, an open-source method for in situ single-cell metabolomics that detects >100 metabolites from >1,000 individual cells per hour, together with a fluorescence-based readout and retention of morpho-spatial features. We validated SpaceM by predicting the cell types of cocultured human epithelial cells and mouse fibroblasts. We used SpaceM to show that stimulating human hepatocytes with fatty acids leads to the emergence of two coexisting subpopulations outlined by distinct cellular metabolic states. Inducing inflammation with the cytokine interleukin-17A perturbs the balance of these states in a process dependent on NF-κB signaling. The metabolic state markers were reproduced in a murine model of nonalcoholic steatohepatitis. We anticipate SpaceM to be broadly applicable for investigations of diverse cellular models and to democratize single-cell metabolomics.</p><p><br></p><p>All MALDI-imaging MS data as well as metabolite and lipid annotations and images are publicly available through METASPACE (<a href='https://metaspace2020.eu/project/Rappez_2021_SpaceM' rel='noopener noreferrer' target='_blank'>https://metaspace2020.eu/project/Rappez_2021_SpaceM</a>)</p>
Project description:32 genes of a previously established inflammation-related gene signature were assessed in 197 patients with MDD and 151 controls collected during the EU-MOODINFLAME project. Monocyte gene expression data were related to age, gender, BMI, depression severity, Childhood Adversity (CA), and Suicide Risk (SR) data studycenter 2
Project description:32 genes of a previously established inflammation-related gene signature were assessed in 197 patients with MDD and 151 controls collected during the EU-MOODINFLAME project. Monocyte gene expression data were related to age, gender, BMI, depression severity, Childhood Adversity (CA), and Suicide Risk (SR) data studycenter 1
