NIH-initiated efforts to centralize expertise, instrumentation, and facilities to promote comprehensive evaluation of genetically engineered mice, tissues and cells has improved our understanding of functional genomics and disease pathobiology. The Metabolic and Molecular Physiology Core (MMPC) provides investigators at UCSD, UCLA, and their affiliated institutions with a series of state-of-the-art and cost effective molecular and physiological assays not readily available from national phenotyping centers. The MMPC is divided into four sub-cores: A) Insulin sensitivity and metabolic homeostasis, B) Oxidative metabolism in animals and tissues, C) Mitochondrial biology and metabolism in cells, and D) Inflammatory signaling and diabetes complications, and each sub-core offers extensive training and consultation on a variety of topics from experimental design to data interpretation and integration. Specifically, the MMPC provides services to assess: movement, feeding behavior, indirect calorimetry, body composition, glucose/insulin tolerance, insulin action (ex vivo, in situ, and in vivo), substrate metabolism and oxidative capacity, mitochondrial function and morphology, circulating hormones / adipokines / cytokines, and diabetes complications. The MMPC maintains a tissue bio-bank as well as a comprehensive database of phenotypic outcomes for a wide variety of genetically engineered mice and standard protocols for a vast number of phenotyping techniques. The MMPC leadership includes top investigators from the fields of integrative metabolism, nuclear receptor biology, mitochondrial function and architecture, and inflammation including: Andrea Hevener, Orian Shirihai, Peter Tontonoz, and Karen Reue. Strengths of the MMPC include the well-rounded and complementary expertise of its leadership, an exceptional track record of research productivity, and high impact scientific publications. The collaborative spirit of the MMPC team fosters a collegial environment and supports service well- coordinated with other DRC cores and institutional resources. The central goal of the MMPC is to advance the scientific capabilities of the DRC membership in leading-edge metabolic analyses and improve overall research quality with enhanced translation of research ideas from cells, tissues, and mice to (wo)man.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Center Core Grants (P30)
Project #
2P30DK063491-18
Application #
9961913
Study Section
Special Emphasis Panel (ZDK1)
Project Start
Project End
Budget Start
2020-07-01
Budget End
2021-06-30
Support Year
18
Fiscal Year
2020
Total Cost
Indirect Cost
Name
University of California, San Diego
Department
Type
DUNS #
804355790
City
La Jolla
State
CA
Country
United States
Zip Code
92093
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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