This subproject is one of many research subprojects utilizing the resources provided by a Center grant funded by NIH/NCRR. The subproject and investigator (PI) may have received primary funding from another NIH source, and thus could be represented in other CRISP entries. The institution listed is for the Center, which is not necessarily the institution for the investigator. While the past few years have witnessed an explosion of activity in mining information embedded in genomic sequences by bioinformatic, transcriptomic and proteomic approaches, the state of metabolomics analysis is in its infancy. In the past couple of years, UNL and UNMC have made significant strides in developing proteomics, microarray and bioinformatics core facilities, which are used by members of the Redox Biology Center (RBC). To support the increasing interest of the research communities at UNL and UNMC in large-scale metabolic profiling systems and to complement the existing facilities for global analysis at the proteomic and transcriptomic levels, we have invested in the mass spectroscopy platforms to support high throughput metabolomics analyses. The metabolomics facility is overseen by Dr. Ashraf Raza, currently he is developing methods for metabolomics, metabolic profiling and metabolic fingerprinting. Current projects includes, identifying and quantitating sulfur containing metabolites in mouse liver cells and tracking changes in arachidonic acid derived metabolites secreted by human monocytes during differentiation to macrophages. Besides these efforts, the mass spectrometry facility is also supporting research on post translational modifications, studying protein structural changes, proteomics and other general applications. The Metabolomics RBC Mass Spec Core Facility is located in the Beadle Center which houses the UNL Core Facilities for Proteomics, Microscopy and Genomics. The new Metabolomics RBC Mass Spec Core Facility occupies approximately 500 sq ft. RBC Mass Spec Core Facility has QStar XL and Qtrap 2000 instruments from Applied Biosystems. This facility has capabilities for doing MS, LCMS, LCMS/MS and LCMS/MS/MS analysis using nano or micro flow rate techniques.
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