(DGA Core) The Stanford Diabetes Genomics and Analysis (DGA) Core is designed to support the genomic research of Stanford Diabetes Research Center (SDRC) investigators through access to next-generation sequencing and modern bioinformatics analysis. Nucleotide sequencing has become essential for formulating and resolving crucial biological questions in many contexts, like diabetes. This includes determining the underlying causes of human diseases to monitoring gene expression, elucidating regulatory networks and exploring organismal diversity that may impact human health, like human microbiomes. Thus, high-throughput sequencers have become a transformative tool for a wide variety of studies in both pure and applied biomedical science. Researchers use this technology increasingly for an ever-broadening range of applications to detect and characterize nucleic acid molecules (RNA and DNA). The overall goal of the Stanford DGA Core is to provide SDRC investigators with a next-generation sequencing facility composed of state-of-the-art laboratory, computational facilities and informatics support. The DGA Core is committed to providing SDRC laboratories with the expertise and technical support necessary to realize the potential of next-generation sequencing in a cost-effective matter regardless of their existing expertise in genomics. The Stanford DGA Core will offer a complete package of services ranging from study design consultation, library preparation services, access to sequencing technologies, and analysis and interpretation of sequencing data. SDRC laboratories can leverage the technologies and expertise of the Stanford DGA Core to overcome cost-prohibitive barriers of entry into genomics which include technologically advanced facilities and equipment, and computational infrastructure that can only be achieved in a center setting like the Stanford DGA Core. Based on the strengths of the Stanford DGA Core and its contributions, the specific aims of the DGA Core are to provide SDR core users guidance with design of their next-generation sequencing projects, access to a broad range of nucleotide library preparation services, access to sequencing services with modern sequencing technologies, and support with data analysis and interpretation of their sequencing projects The proven strengths of the Stanford DGA Core in these techniques will provide investigators with a unique opportunity to effectively apply powerful research approaches that would be prohibitively difficult for individual laboratories to develop. The Stanford DGA Core will serve as an invaluable resource for the SDRC, providing investigators with the next-generation sequencing expertise and training necessary to examine the genome at a level that is limited to a relatively few laboratories. This Core is committed to serving SDRC investigators in their experiments, from start to finish.

National Institute of Health (NIH)
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Center Core Grants (P30)
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Special Emphasis Panel (ZDK1)
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Stanford University
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Nagy, Nadine; de la Zerda, Adi; Kaber, Gernot et al. (2018) Hyaluronan content governs tissue stiffness in pancreatic islet inflammation. J Biol Chem 293:567-578
Rao, Abhiram S; Lindholm, Daniel; Rivas, Manuel A et al. (2018) Large-Scale Phenome-Wide Association Study of PCSK9 Variants Demonstrates Protection Against Ischemic Stroke. Circ Genom Precis Med 11:e002162
Shen, Wen-Jun; Asthana, Shailendra; Kraemer, Fredric B et al. (2018) Scavenger receptor B type 1: expression, molecular regulation, and cholesterol transport function. J Lipid Res 59:1114-1131
Nowak, Christoph; Hetty, Susanne; Salihovic, Samira et al. (2018) Glucose challenge metabolomics implicates medium-chain acylcarnitines in insulin resistance. Sci Rep 8:8691
Bahrami-Nejad, Zahra; Zhao, Michael L; Tholen, Stefan et al. (2018) A Transcriptional Circuit Filters Oscillating Circadian Hormonal Inputs to Regulate Fat Cell Differentiation. Cell Metab 27:854-868.e8
Piening, Brian D; Zhou, Wenyu; Contrepois, Kévin et al. (2018) Integrative Personal Omics Profiles during Periods of Weight Gain and Loss. Cell Syst 6:157-170.e8
Kamble, Prasad G; Pereira, Maria J; Gustafsson, Stefan et al. (2018) Role of peroxisome proliferator-activated receptor gamma Pro12Ala polymorphism in human adipose tissue: assessment of adipogenesis and adipocyte glucose and lipid turnover. Adipocyte 7:285-296
LeBlanc, Erin S; Pratley, Richard E; Dawson-Hughes, Bess et al. (2018) Baseline Characteristics of the Vitamin D and Type 2 Diabetes (D2d) Study: A Contemporary Prediabetes Cohort That Will Inform Diabetes Prevention Efforts. Diabetes Care 41:1590-1599
Tikkanen, Emmi; Gustafsson, Stefan; Amar, David et al. (2018) Biological Insights Into Muscular Strength: Genetic Findings in the UK Biobank. Sci Rep 8:6451
Tikkanen, Emmi; Gustafsson, Stefan; Ingelsson, Erik (2018) Associations of Fitness, Physical Activity, Strength, and Genetic Risk With Cardiovascular Disease: Longitudinal Analyses in the UK Biobank Study. Circulation 137:2583-2591

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