Project description:SNP genotype data from induced Pluripotent Stem cells from Parkinson's Disease patients harboring mutations in the GBA1 gene, and from healthy control donors
Project description:SNP Genotype and Gene Expression data from induced Pluripotent Stem cells from Parkinson's Disease patients harboring mutations in the GBA1 gene, and from healthy control donors
Project description:Human induced pluripotent stem cells changed the face of stem cell biology as they represent a renewable source of stem cells with the potential to differentiated into multiple lineages in a manner akin to embryonic stem cells that can be collected without the need for the destruction of an embryo. The potential of these cells as research tools is vast as they can be pushed to generate different cell types depending on research interest. Many complex diseasese.g. late onset alzheimer's disease and type 2 diabetes have known genetic risk factors that increase the likelihood of developing a disease. We performed whole genome SNP analysis to examine risk loci for different complex diseases in our donor iPS cells toanalyse disease risk and also assess which donor represents the best healthy background. Genomic DNA was isolated from human induced pluripotent stem cells from 3 donors and fibroblasts from an additional donor for genome-wide SNP analysis. This study was completed using the Affymetrix human genome-wide array 6.0 and analysed using the Affymetrix Genotyping Console Birdseed V2 algorithm.
Project description:Human induced pluripotent stem cell (iPSC) technology holds great potential for therapeutic and research purposes, by providing improved models of disease and for studying mechanisms regulating differentiation. The Human Induced Pluripotent Stem Cell Initiative (HipSci) was established to generate large panel of high-quality human iPSC lines from both healthy donors and disease cohorts for the research community. Here we present a resource featuring a comprehensive proteomic analysis of >200 human iPSC lines obtained from >100 different donors. This dataset has identified in total >16,000 proteins expressed in iPSCs, with expression levels spanning 7 orders of magnitude. Our analysis of these lines has provided insight into mechanisms regulating primed pluripotency. All the proteomics data we have integrated into the Enclyclopedia of Proteome Dynamics where it can be browsed and analysed interactively. https://peptracker.com/epd/analytics
