Project description:Joint profiling of chromatin accessibility and gene expression from the same single cell provides critical information about cell types in a tissue and cell states during a dynamic process. These emerging multi-omics techniques help the investigation of cell-type resolved gene regulatory mechanisms. Here, we developed in situ SHERRY after ATAC-seq (ISSAAC-seq), a highly sensitive and flexible single cell multi-omics method to interrogate chromatin accessibility and gene expression from the same single cell. We demonstrated that ISSAAC-seq is sensitive and provides high quality data with orders of magnitude more features than existing methods. Using the joint profiles from thousands of nuclei from the mouse cerebral cortex, we uncovered major and rare cell types together with their cell-type specific regulatory elements and expression profiles. Finally, we revealed distinct dynamics and relationships of transcription and chromatin accessibility during an oligodendrocyte maturation trajectory.
Project description:To further reveal the major cell types of developing pIVC embryos and underlying epigenetic dynamics, the optimized single-cell based multi-omics sequencing method scChaRM-seq was performed (Yan et al., 2021b). 1,862 single cells Bisulfite-seq datasets were further analyzed. We then performed multi-omics profiling analysis using data obtained from9 pIVC embryos at 8 sequential developmental stages.
Project description:To further reveal the major cell types of developing pIVC embryos and underlying epigenetic dynamics, the optimized single-cell based multi-omics sequencing method scChaRM-seq was performed (Yan et al., 2021b). After stringent filtration, 3,682 single cells RNA-seq datasets were further analyzed We then performed multi-omics profiling analysis using data obtained from9 pIVC embryos at 8 sequential developmental stages.
Project description:In this study, we analyzed both together the epithelial tissue and the secreted mucus response using a holistic interactome-based multi-omics approach. The effect of the gilthead sea bream (Sparus aurata) skin mucosa to a dietary inclusion of spray-dried porcine plasma (SDPP) was evaluated.
Project description:Meta-analyses suggest that yogurt consumption reduces type 2 diabetes incidence in humans, but the molecular basis of these observations remains unknown. Here we show that dietary yogurt intake preserves whole-body glucose homeostasis and prevents hepatic insulin resistance and liver steatosis in a dietary mouse model of obesity-linked type 2 diabetes. Fecal microbiota transplantation studies reveal that these effects are partly linked to the gut microbiota. We further show that yogurt intake impacts the hepatic metabolome, notably maintaining the levels of branched chain hydroxy acids (BCHA) which correlate with improved metabolic parameters. These metabolites are generated upon milk fermentation and concentrated in yogurt. Remarkably, diet-induced obesity reduces plasma and tissue BCHA levels, and this is partly prevented by dietary yogurt intake. We further show that BCHA improve insulin action on glucose metabolism in liver and muscle cells, identifying BCHA as cell-autonomous metabolic regulators and potential mediators of yogurt's health effects.
Project description:The aim of the study was to decipher metabolisms responsible (i) for the peculiar adaptation of L. plantarum during soy juice fermentation and (ii) for the release of aroma compounds, amino and short-chain fatty acid, and metabolites with health-promoting properties in soy yogurt. The strategy was the sequencing and annotation of a strain (L. plantarum CIRM-BIA777, PRJEB77707) able to degrade galacto- oligosaccharides, the sampling of soy yogurt, RNA-seq to identify differentially expressed genes of L. plantarum and corresponding metabolisms throughout the kinetics of fermentation. Acids and volatile compounds were also quantified.
Project description:Psychiatric disorders are characterized by major fluctuations in psychological function over the course of weeks and months, but the dynamic characteristics of human brain function over this timescale in healthy individuals are unknown. Over a period of 18 months, we performed intensive phenome-wide assessment of a single human, including brain connectivity using resting fMRI, measurements of psychological and physical health, and transcriptomic and metabolomic profiling. Brain connectivity varied across sessions in relation to behavioral variables including mood, fatigue, and food/caffeine intake, as well as variables related to inflammation and gut health. Pathway-based analysis of gene expression in peripheral lymphocytes identified associations with physical health and brain connectivity, including associations between specific brain networks and a broad set of immune-related pathways. Metabolomic measures were strongly associated with dietary variance. This study integrates dense neuroimaging and -omics profiling to provide a detailed picture of the joint dynamics of human brain and metabolic function over time, an approach that is critical for the understanding of brain disorders characterized by increased variability of brain function.
2015-10-01 | GSE58122 | GEO
Project description:Multi-omics Investigation of High-transglutaminase Production Mechanisms in Streptomyces mobaraensis and Co-culture-enhanced Fermentation Strategies
