Gene products encoded by a genome are processed via a variety of regulatory steps to produce expressed proteins. These proteins are in turn covalently modified via phosphorylation, acetylation, ubiquination, oxidation, sumoylation, etc., events to generate a complex proteome composed of hundreds of thousands if not millions of distinct protein molecules. This complexity is found from archaebacteria to eubacteria, from plants and animals to fungi. A better understanding of these complex molecular systems will impact all fields of biology, from those focused on human health to those focused on plant biology to those focused on the environment. Mass spectrometry-based proteomics provides the most powerful and versatile technology to achieve an understanding of the complex and interwoven network of proteins that collectively drive cellular function.
This cluster hire in functional proteomics seeks to hire two individuals with expertise in mass spectrometry-based proteomics and related technologies studying the interrelation between protein post-translational modifications, functional protein complexes and/or dynamic protein networks, and the control of gene expression and signaling that define cell function and disease mechanisms. These new faculty will develop a strong, independent research program around a theme that complements current faculty research in CBS and their home department (Biochemistry, Molecular Biology and Biophysics). We anticipate that the diverse faculty research ongoing in CBS and across the University will offer ample opportunities for fruitful collaborations providing new discoveries related to important biological questions cutting across a number of possible fields, from human health to microbial biology.
The faculty hired in this cluster will bring new MS-based proteomics technologies and expertise that will enhance ongoing proteomics research at the University of Minnesota. The new faculty will have additional access to instrumentation and technologies already in place in the Center for Mass Spectrometry and Proteomics, as well as world-class computational and bioinformatics infrastructure available through the Minnesota Supercomputing Institute.