Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA210820 | ENA |
REPOSITORIES: ENA
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Project description:Allele-specific Methylation of Human Placental Tissue
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Project description:To address the heterogeneity of gene regulation and expression in cell types of a brain region with strong evidence for relevance to schizophrenia, we carried out whole genome methylation and expression analyses using post-mortem brain tissue from BA46 that underwent fluorescence-activated nuclei sorting (FANS). Importantly, we used whole genome bisulfite sequencing (WGBS) for methylation quantification to have an unbiased assessment of epigenetic modifications associated with schizophrenia, and additionally carried out whole genome sequencing (WGS) of the brain samples to account for genetic background differences. We found that a number of schizophrenia GWAS loci overlap with sites of cell-specific differential methylation in schizophrenia brain tissue. Differential methylation is also associated with differential gene expression in a cell-specific manner. Co-expression network analysis can identify groups of genes that are enriched for differentially methylated regions in each cell type, and these groups of co-expressed genes underscore shared molecular pathways that might be at risk in schizophrenia. Together, these data indicate that the integration of multiple levels of data in a cell-specific manner can provide novel biological insights into complex genetic disorders such as schizophrenia.
2019-06-25 | GSE107638 | GEO
Project description:DNA methylation profiles of human brain tissue samples
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Project description:This model is from the article:
A multi-tissue type genome-scale metabolic network for analysis of whole-body systems physiology.
Bordbar A, Feist AM, Usaite-Black R, Woodcock J, Palsson BO, Famili I. BMC Syst Biol.
2011 Oct 31;5(1):180. 22041191
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Abstract:
ABSTRACT:
BACKGROUND:
Genome-scale metabolic reconstructions provide a biologically meaningful mechanistic basis for the genotype-phenotype relationship. The global human metabolic network, termed Recon 1, has recently been reconstructed allowing the systems analysis of human metabolic physiology and pathology. Utilizing high-throughput data, Recon 1 has recently been tailored to different cells and tissues, including the liver, kidney, brain, and alveolar macrophage. These models have shown utility in the study of systems medicine. However, no integrated analysis between human tissues has been done.
RESULTS:
To describe tissue-specific functions, Recon 1 was tailored to describe metabolism in three human cells: adipocytes, hepatocytes, and myocytes. These cell-specific networks were manually curated and validated based on known cellular metabolic functions. To study intercellular interactions, a novel multi-tissue type modeling approach was developed to integrate the metabolic functions for the three cell types, and subsequently used to simulate known integrated metabolic cycles. In addition, the multi-tissue model was used to study diabetes: a pathology with systemic properties. High-throughput data was integrated with the network to determine differential metabolic activity between obese and type II obese gastric bypass patients in a whole-body context.
CONCLUSION:
The multi-tissue type modeling approach presented provides a platform to study integrated metabolic states. As more cell and tissue-specific models are released, it is critical to develop a framework in which to study their interdependencies.
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To cite BioModels Database, please use: Li C, Donizelli M, Rodriguez N, Dharuri H, Endler L, Chelliah V, Li L, He E, Henry A, Stefan MI, Snoep JL, Hucka M, Le Novère N, Laibe C (2010) BioModels Database: An enhanced, curated and annotated resource for published quantitative kinetic models. BMC Syst Biol., 4:92.
2005-01-01 | MODEL1111070003 | BioModels
Project description:Single-cell m6A profiling in the mouse brain uncovers cell type-specific methylomes and age-dependent differential methylation
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Project description:Deconvolution of whole blood DNA methylomes reveals immune cell type-specific differential methylation in Multiple Sclerosis
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Project description:Epigenomics is developing a colon cancer screening assay based on differential methylation of specific CpG sites for the detection of early stage disease. A genome-wide methylation analysis and oligonucleotide array study using DNA from various stages of colon cancer and normal tissue have been completed to obtain candidate CpG markers. Based on results obtained in the above studies, Epigenomics has moved to the final stages of feasibility with a specific, highly sensitive real-time marker assay that is able to detect colon cancer DNA in blood plasma.
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Project description:DNA methylation on type-specific human skeletal muscle fibers
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Project description:DNA methylation on type-specific human skeletal muscle fibers
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