A major goal in efforts to understand the mechanisms by which signal transduction pathways regulate programs of gene expression is to identify their target genes and to determine the specific components of the transcriptional machinery that are recruited to these genes in response to hormonal signals. The DERC Genomics Core Facility will provide two complementary services to advance these efforts; conventional cDNA microarray analysis and recently developed promoter microarray analysis. Conventional microarray analysis will utilize glass slides spotted with PCR products corresponding to specific genes, allowing large-scale assessment of relative levels of gene expression. These arrays are intended to complement the use of commercially available microarrays (e.g., Affymetrix microarrays). For example, microarrays containing a few hundred to a few thousand cDNA targets of particular interest can be printed at relatively low cost, allowing multiple experimental conditions to be examined that would be prohibitively expensive using Affymetrix arrays. Microarrays for several organisms are currently available, including human and murine gene microarrays. Recent progress in combining the use of chromatin immunoprecipitation (CHIP) assays with DNA microarrays has recently allowed genome-wide analysis of transcription factor localization to specific promoter sequences in living cells. The DERC Genomics Core Facility will fabricate a human and murine promoter microarrays to allow genome-side location analysis of transcription factors such as nuclear hormone receptors and signal-dependent transcription factors. The fabrication of a murine promoter array will be a unique resource, and allow full exploitation of genetically engineered mouse models and cell lines.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
5P30DK063491-03
Application #
7550776
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2005-05-01
Budget End
2006-04-30
Support Year
3
Fiscal Year
2005
Total Cost
$228,000
Indirect Cost
Name
University of California Los Angeles
Department
Type
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095
Zhao, Peng; Wong, Kai In; Sun, Xiaoli et al. (2018) TBK1 at the Crossroads of Inflammation and Energy Homeostasis in Adipose Tissue. Cell 172:731-743.e12
Prokopenko, Dmitry; Sakornsakolpat, Phuwanat; Fier, Heide Loehlein et al. (2018) Whole-Genome Sequencing in Severe Chronic Obstructive Pulmonary Disease. Am J Respir Cell Mol Biol 59:614-622
Raffield, Laura M; Ellis, Jaclyn; Olson, Nels C et al. (2018) Genome-wide association study of homocysteine in African Americans from the Jackson Heart Study, the Multi-Ethnic Study of Atherosclerosis, and the Coronary Artery Risk in Young Adults study. J Hum Genet 63:327-337
Tanphaichitr, Nongnuj; Kongmanas, Kessiri; Faull, Kym F et al. (2018) Properties, metabolism and roles of sulfogalactosylglycerolipid in male reproduction. Prog Lipid Res 72:18-41
Pappas, D J; Lizee, A; Paunic, V et al. (2018) Significant variation between SNP-based HLA imputations in diverse populations: the last mile is the hardest. Pharmacogenomics J 18:367-376
Cardamone, Maria Dafne; Tanasa, Bogdan; Cederquist, Carly T et al. (2018) Mitochondrial Retrograde Signaling in Mammals Is Mediated by the Transcriptional Cofactor GPS2 via Direct Mitochondria-to-Nucleus Translocation. Mol Cell 69:757-772.e7
Floyd, J S; Sitlani, C M; Avery, C L et al. (2018) Large-scale pharmacogenomic study of sulfonylureas and the QT, JT and QRS intervals: CHARGE Pharmacogenomics Working Group. Pharmacogenomics J 18:127-135
Muse, Evan D; Yu, Shan; Edillor, Chantle R et al. (2018) Cell-specific discrimination of desmosterol and desmosterol mimetics confers selective regulation of LXR and SREBP in macrophages. Proc Natl Acad Sci U S A 115:E4680-E4689
Hajek, Catherine; Guo, Xiuqing; Yao, Jie et al. (2018) Coronary Heart Disease Genetic Risk Score Predicts Cardiovascular Disease Risk in Men, Not Women. Circ Genom Precis Med 11:e002324
Mahajan, Anubha (see original citation for additional authors) (2018) Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. Nat Genet 50:559-571

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