Mprc Software
The Mayo Proteomics Research Center makes available the following software programs for the use of proteomics researchers at other institutions.
Overview
The Mayo Proteomics Research Center (MPRC) is designed to provide investigators throughout Mayo Foundation with the tools needed for proteomic analyses and custom peptide synthesis. The MPRC is located in Mayo Clinic Rochester on the third floor of the Medical Sciences Building. The MPRC also includes the Peptide Synthesis Facility which is located on Guggenheim 16.
In addition, investigators in the General Clinical Research Center are involved in investigations relating to protein metabolism in various physiological and disease states. The MPRC in Rochester is equipped with nine mass spectrometers and additional state-of-the-art instruments needed for medium throughput and high sensitivity proteomic analyses.
Minnesota Partnership Collaboration
The Minnesota Partnership for Biotechnology and Medical Genomics has awarded Drs. Gary Nelsestuen (U. Minn) and H. Robert Bergen (Mayo) $1.08M. This award for, "Advanced Proteomics Instrumentation and Bioinformatics for Biomarker Discovery", provides for the purchase of a MALDI-Tof/Tof mass spectrometer. This mass spectrometer is ideally suited for the interrogation of isotopically labeled proteins/peptides which can be multiplexed allowing simultaneous comparison of up to eight samples. Additionally, the award provides support for the development of software tools useful for biomarker discovery. These acquisitions insure that Mayo and U. MN researchers have access to the very latest proteomics resources to elucidate biomarkers for the early detection of disease.
Collaboration
Sharing in the work of the MPRC is Dr. Daniel McCormick who is also the founder and director for the Peptide Synthesis Facility.
The MPRC also works in connection with Dr. Sreekumaran Nair who is the director of the Clinical and Human Proteomics program in the GCRC at St. Mary's Hospital. Dr. Nair is involved in the study of metabolomics in clinical research with patient samples.