The Southeast Resource Center for Integrated Metabolomics (SECIM) integrates existing strengths to create a comprehensive resource for basic and clinical scientists to obtain state-of-the-art metabolomics data and analyses. SECIM offers services in MS- and NMR-based metabolomics with partner Sanford-Burnham (Orlando, Fla.), who also contributes to Promotion &Outreach. We will offer a fully integrated platform for statistical analysis created by our Bioinformatics Core. Biomarkers will be identified by NMR and MS, with new methods for de novo structure prediction with the Bruschweiler lab at Florida State University and joint NMR/MS analysis with the Nicholson group at Imperial College. A service will be provided to SECIM users by the Prestegard lab at the University of Georgia for dynamic nuclear polarization (DNP) substrates that will be used by our partner, the AMRIS Facility, for monitoring of metabolism in living animals. SECIM users will also be able to conduct isotopic ratio outlier analysis (IROA) experiments to measure global metabolomic changes in response to external perturbations or mutations using LC/MS through our partnership with NextGen Metabolomics and Thermo Fisher. SECIM will provide ex vivo tissue analysis using MALDl-imaging (MS) and HRMAS (NMR) techniques, and users can also access an extensive tissue and blood bank through the UF Clinical and Translational Science Institute Biorepository. SECIM technical cores: 1) Mass Spectrometry Services for global and targeted metabolomics (Garrett and Gardell, Co-PIs) 2) NMR spectroscopy for global metabolomics and biomarker identification (Edison, PI) 3) Advanced MS for biomarker identification, imaging mass spectrometry, and IROA (Yost, PI) 4) Bioinformatics for SECIM pipeline development and analysis (Mclntyre, PI) The Promotion &Outreach Core (Conlon and Smith, Co-PIs) brings everything together by expanding the user base and providing education and training in SECIM capabilities. The Administrative Core coordinates all activities and will develop and implement a sustainable business model that will be self-supporting in years 6 and beyond.

Agency
National Institute of Health (NIH)
Institute
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Type
Resource-Related Research Projects--Cooperative Agreements (U24)
Project #
5U24DK097209-02
Application #
8732635
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Maruvada, Padma
Project Start
2013-09-11
Project End
2018-08-31
Budget Start
2014-09-01
Budget End
2015-08-31
Support Year
2
Fiscal Year
2014
Total Cost
Indirect Cost
Name
University of Florida
Department
Biochemistry
Type
Schools of Medicine
DUNS #
City
Gainesville
State
FL
Country
United States
Zip Code
32611
Hattori, Ayuna; Tsunoda, Makoto; Konuma, Takaaki et al. (2017) Cancer progression by reprogrammed BCAA metabolism in myeloid leukaemia. Nature 545:500-504
Le Guennec, Adrien; Tayyari, Fariba; Edison, Arthur S (2017) Alternatives to Nuclear Overhauser Enhancement Spectroscopy Presat and Carr-Purcell-Meiboom-Gill Presat for NMR-Based Metabolomics. Anal Chem 89:8582-8588
Ulmer, Candice Z; Koelmel, Jeremy P; Ragland, Jared M et al. (2017) LipidPioneer : A Comprehensive User-Generated Exact Mass Template for Lipidomics. J Am Soc Mass Spectrom 28:562-565
Markley, John L; Br├╝schweiler, Rafael; Edison, Arthur S et al. (2017) The future of NMR-based metabolomics. Curr Opin Biotechnol 43:34-40
Reed, Laura K; Baer, Charles F; Edison, Arthur S (2017) Considerations when choosing a genetic model organism for metabolomics studies. Curr Opin Chem Biol 36:7-14
Liu, Haiyan; Garrett, Timothy J; Su, Zhihua et al. (2017) UHPLC-Q-Orbitrap-HRMS-based global metabolomics reveal metabolome modifications in plasma of young women after cranberry juice consumption. J Nutr Biochem 45:67-76
DeRatt, Barbara N; Ralat, Maria A; Lysne, Vegard et al. (2017) Metabolomic Evaluation of the Consequences of Plasma Cystathionine Elevation in Adults with Stable Angina Pectoris. J Nutr 147:1658-1668
Koelmel, Jeremy P; Kroeger, Nicholas M; Gill, Emily L et al. (2017) Expanding Lipidome Coverage Using LC-MS/MS Data-Dependent Acquisition with Automated Exclusion List Generation. J Am Soc Mass Spectrom 28:908-917
Koelmel, Jeremy P; Ulmer, Candice Z; Jones, Christina M et al. (2017) Common cases of improper lipid annotation using high-resolution tandem mass spectrometry data and corresponding limitations in biological interpretation. Biochim Biophys Acta 1862:766-770
Wang, Cheng; He, Lidong; Li, Da-Wei et al. (2017) Accurate Identification of Unknown and Known Metabolic Mixture Components by Combining 3D NMR with Fourier Transform Ion Cyclotron Resonance Tandem Mass Spectrometry. J Proteome Res 16:3774-3786

Showing the most recent 10 out of 55 publications