A major goal in diabetes research is to understand how alterafions in the epigenome and subsequent responses in gene expression impact disease phenotype and treatment regimens. The Epigenefic and Genomics Core (EGC) will provide access to microarray platforms, massively parallel sequencing instrumentafion and computafional infrastructure to advance the diabetes and metabolism research goals of DRC investigators. The EGC will provide the following services: 1. Expression microarray technology;Affymetrix, Agilent, Codelink, NimbleGen, and lllumina platforms will be provided for microarray-based mRNA expression profiling. Affymetrix, Life Technologies and Exiqon platforms will be provide for miRNA profiling. 2. Technical support will be provided for high-throughput sequencing assays on lllumina HiSeq 2000 platforms, including RNA sequencing (RNAseq), microRNA sequencing (mlRNAseq), global run-on sequencing (GRO-Seq), ribosome profiling and deep sequencing (Ribo-Seq), chromafin immunoprecipitafion linked to massively parallel sequencing (ChlP-Seq) and MethylC-sequencing. 3. Bioinformatics support will be provided for assistance with experimental design, choice of technological platform, data analysis and data quality control. Implementafion of new data management and analysis pipelines will facilitate effective data mining. 4. Training of students, postdoctoral fellows, invesfigators and technical staff in the application of highthroughput sequencing methodologies and data analysis 5. High-performance computing resources, systems administrators, and data storage/backup systems will enable users to efficiently access and analyze their data. A major emphasis in the configurafion of the ECG will be implementafion of new Core services to reduce barriers to entry to new investigators. This will be achieved by providing direct Core support at three of the crifical steps required to take advantage of sequencing-based technologies;1) Preparafion of sequencing libraries, 2) provision of computafional resources, and 3) assistance with data analysis through both training and provision of informatics services.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK063491-12
Application #
8641341
Study Section
Special Emphasis Panel (ZDK1-GRB-S)
Project Start
Project End
Budget Start
2014-05-01
Budget End
2015-04-30
Support Year
12
Fiscal Year
2014
Total Cost
$268,547
Indirect Cost
$80,931
Name
University of California San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
Ward-Caviness, Cavin K; Huffman, Jennifer E; Everett, Karl et al. (2018) DNA methylation age is associated with an altered hemostatic profile in a multiethnic meta-analysis. Blood 132:1842-1850
Goodarzi, Mark O (2018) Genetics of obesity: what genetic association studies have taught us about the biology of obesity and its complications. Lancet Diabetes Endocrinol 6:223-236
Hevener, Andrea L; Zhou, Zhenqi; Moore, Timothy M et al. (2018) The impact of ER? action on muscle metabolism and insulin sensitivity - Strong enough for a man, made for a woman. Mol Metab 15:20-34
Wong, Jason Y Y; Margolis, Helene G; Machiela, Mitchell et al. (2018) Outdoor air pollution and mosaic loss of chromosome Y in older men from the Cardiovascular Health Study. Environ Int 116:239-247
Rausch, John C; Lavine, Joel E; Chalasani, Naga et al. (2018) Genetic Variants Associated With Obesity and Insulin Resistance in Hispanic Boys With Nonalcoholic Fatty Liver Disease. J Pediatr Gastroenterol Nutr 66:789-796
Dunn, Erin C; Sofer, Tamar; Wang, Min-Jung et al. (2018) Genome-wide association study of depressive symptoms in the Hispanic Community Health Study/Study of Latinos. J Psychiatr Res 99:167-176
Chen, Han; Cade, Brian E; Gleason, Kevin J et al. (2018) Multiethnic Meta-Analysis Identifies RAI1 as a Possible Obstructive Sleep Apnea-related Quantitative Trait Locus in Men. Am J Respir Cell Mol Biol 58:391-401
McKeown, Nicola M; Dashti, Hassan S; Ma, Jiantao et al. (2018) Sugar-sweetened beverage intake associations with fasting glucose and insulin concentrations are not modified by selected genetic variants in a ChREBP-FGF21 pathway: a meta-analysis. Diabetologia 61:317-330
Que, Xuchu; Hung, Ming-Yow; Yeang, Calvin et al. (2018) Oxidized phospholipids are proinflammatory and proatherogenic in hypercholesterolaemic mice. Nature 558:301-306
Wang, Y X Rachel; Liu, Ke; Theusch, Elizabeth et al. (2018) Generalized correlation measure using count statistics for gene expression data with ordered samples. Bioinformatics 34:617-624

Showing the most recent 10 out of 926 publications